#SmartBearings

[market-insider]

Bearing Market Overview: Key Players, Competitive Landscape, Regional Trends

The global bearing market size is expected to reach USD 226.60 billion by 2030, registering a CAGR of 9.5% during the forecast period, according to a new report by Grand View Research, Inc. Bearings are essential in almost every application that involves motion, and they help minimize friction between different mechanical components in several industrial machinery and equipment, resulting in reduced energy consumption. Hence, this machine element finds application in all industries, ranging from automobiles, household appliances, and aerospace to industrial machinery, using machinery or related motor-driven linkages.

Bearing Market Report Highlights

The development of cost-effective wind energy-generating products has resulted in their increased espousal within wind turbine applications that aid in increasing energy production, reduce lubricant consumption, and enhancing turbine performance and reliability.

In 2023, the roller bearings segment accounted for the largest revenue share of more than 45%. Roller bearings are ideal for applications requiring higher load-carrying capacity than speed. They are used in heavy-load settings across various industries, including equipment and machinery, aerospace, manufacturing, and power generation. The aggressive investments in infrastructure developments, which drive the demand for heavy-duty equipment and machinery, bode well for the growing demand for roller bearings.

Railway and Aerospace application is estimated to witness the fastest CAGR during the forecast period to their growing demand in applications such as shock absorbers, gearboxes, doors, and tilting mechanisms. Further, different types of bearings are commonly used in locomotives, traction motors, wagon wheels, freight carriers, and suspension. The development of the commercial aerospace industry, in line with the growing demand for aircraft, space vehicles, space shuttles, and satellites, is expected to drive the growth of the bearing market over the forecast period.

In 2023, the Asia Pacific market accounted for a revenue share of more than 40.0%, owing to the rapid expansion of the industrial and construction sector. Further, growing motor vehicle production coupled with the region's strong aftermarket demand for industrial equipment and motorcycle repairs augurs well for the growth in the region.

For More Details or Sample Copy please visit link @: Bearing Market Report

The market is estimated to witness considerable growth in the forthcoming years, ascribed to the aim to achieve energy efficiency. Energy-saving and bearings go hand-in-hand. The main objective of this element is saving energy by reducing friction, be it during the rotation of shafts of a transmission or the wheel of a vehicle. Additionally, the rising demand for commercial vehicles is expected to catapult the demand from the automotive sector across the world.

Technological advancements including smart bearings, the development of advanced materials and lubricants, and integrating sensor units, are anticipated to provide high growth potential to the market. With the objective of enhancing performance, vendors are incorporating sensor units of the product. Sensor units help with digital monitoring of rotation speed, axial movement, load-carrying capacity acceleration, and deceleration. These units are presently being used in conveyors forklifts, road rollers, and electric motors. Furthermore, the integration of IoT capabilities facilitates manufacturers to monitor operations constantly.

The market is mature with a dynamic demand closely related to the state of engineering industries and capital goods. Companies are offering integrated products that significantly decrease the number of bearings that go into an assembled product and reduce the overall cost of equipment. This in turn is also increasing the shelf-life and reliability of the product. Product manufacturers are increasingly investing in R&D to address the intensifying competition by providing innovative products.

List of Key Players in the Bearing Market

Rubix

Harbin Bearing Manufacturing Co., Ltd.

HKT Bearings Ltd.

JTEKT Corporation

NBI Group

NSK Ltd

NTN Corporation

RBC Bearings Incorporated.

Regal Rexnord Corporation

Schaeffler AG

SKF

The Timken Company

We have segmented the global bearing market based on product, application, and region

[nous-infosystems]

Mastering API Testing with SmartBear: Best Practices and Essential Tools

API (Application Programming Interface) testing has become a cornerstone of modern software development. As systems grow more complex and interconnected, ensuring the reliability and performance of APIs is critical. One company at the forefront of API testing solutions is SmartBear. With a suite of powerful tools designed to streamline and enhance testing processes, SmartBear is an invaluable asset for developers and QA teams. This blog will delve into the best practices for API testing and how SmartBear’s tools can help you implement them effectively.

What is SmartBear?

SmartBear is a leading provider of software quality tools for development, testing, and monitoring. The company offers a range of products that cater to different aspects of the software lifecycle, ensuring that applications are robust, efficient, and reliable. SmartBear’s tools are widely recognized for their ease of use, integration capabilities, and comprehensive features, making them a favorite among software professionals.

Ready API – A Key SmartBear Testing Tool

ReadyAPI is an advanced API testing suite developed by SmartBear that is designed to cater to complex testing scenarios beyond the capabilities of SoapUI alone. Here’s a detailed look at what ReadyAPI offers:

Key Features of ReadyAPI:

Comprehensive API Testing:

ReadyAPI builds on the foundation of SoapUI, offering robust capabilities for testing both REST and SOAP APIs. It allows testers to create functional, regression, and load tests easily.

Enhanced Security Testing:

It includes features for security testing of APIs, helping teams identify vulnerabilities such as SQL injection, XSS attacks, and more. This ensures that APIs are secure against potential threats.

Data-Driven Testing:

ReadyAPI supports data-driven testing, allowing testers to parameterize their tests with data from external sources like databases, spreadsheets, or files. This helps them efficiently test various data scenarios.

API Performance Testing:

Apart from functional testing, ReadyAPI provides capabilities for performance testing of APIs. This includes load testing to simulate multiple users and stress testing to evaluate API performance under high loads.

Integration with CI/CD Pipelines:

ReadyAPI seamlessly integrates into Continuous Integration and Continuous Deployment pipelines, enabling automated testing as part of the software delivery process. This integration helps detect issues early.

Advanced Reporting and Analytics:

It offers comprehensive reporting features that provide insights into test results, performance metrics, and trends over time. This helps teams in making data-driven decisions for optimization and improvement.

Swagger and OpenAPI Support:

ReadyAPI supports Swagger and OpenAPI specifications, allowing testers to import API definitions easily. This facilitates quicker test creation and ensures alignment with API documentation.

User-Friendly Interface:

Despite its advanced capabilities, ReadyAPI maintains a user-friendly interface that caters to testers of varying skill levels. It provides intuitive tools for test creation, execution, and result analysis.

Who Should Use ReadyAPI?

ReadyAPI is particularly beneficial for teams and individuals involved in:

API Testing Specialists: Testers who focus on API testing and require advanced features like security testing and performance testing.

Automation Engineers: Professionals looking to automate API tests as part of their CI/CD processes.

Development Teams: These teams ensure API functionality and performance meet expected standards before deployment.

API Testing Best Practices

Understand the API Specifications

Before you start testing, it’s crucial to have a thorough understanding of the API’s specifications. This includes knowing the endpoints, request/response formats, authentication methods, and expected behavior. Comprehensive documentation is essential for effective testing.

Create Comprehensive Test Cases

Ensure your test cases cover all possible scenarios, including positive, negative, edge, and boundary conditions. This helps identify any issues or inconsistencies in the API’s behavior.

Automate Your Tests

Automation is key to efficient API testing. Automated tests can be run frequently and consistently, reducing the risk of human error and freeing up time for more complex testing activities. Tools like ReadyAPI and TestComplete offer powerful automation capabilities.

Data-Driven Testing

Using different datasets to validate API responses ensures your API handles various inputs correctly. This can help identify issues related to data handling and processing. ReadyAPI supports data-driven testing, making it easy to test with multiple datasets.

Error Handling and Reporting

Effective error handling and reporting are crucial for identifying and resolving issues quickly. Ensure that your tests include checks for error conditions and that your testing tools provide detailed, actionable reports. SmartBear tools are known for their robust reporting capabilities.

Security Testing

APIs are often the gateway to sensitive data and functionality, making security testing a critical aspect of the testing process. Ensure that your API is protected against threats such as SQL injection, cross-site scripting (XSS), and other common vulnerabilities. ReadyAPI includes security testing features that can help identify and mitigate these risks.

Performance Testing

Evaluate the performance and load handling of your APIs to ensure they can handle expected traffic and usage patterns. Load testing tools like LoadNinja provide insights into how your API performs under stress, helping you identify and address performance bottlenecks.

How SmartBear Tools Facilitate API Testing

Ease of Use

SmartBear tools are designed with usability in mind, featuring intuitive interfaces that make it easy for testers of all skill levels to get started. This reduces the learning curve and allows teams to start testing quickly and effectively.

Integration Capabilities

SmartBear tools integrate seamlessly with a wide range of software and services, including CI/CD pipelines, version control systems, and other testing tools. This ensures that testing is integral to the development workflow, enhancing efficiency and collaboration.

Robust Reporting

Generating comprehensive and actionable test reports is essential for effective testing. SmartBear tools provide detailed reports that highlight test results, performance metrics, and potential issues, making it easier for teams to identify and address problems.

Community and Support

SmartBear has a strong community of users and provides extensive documentation, forums, and customer support. This ensures that users can access the resources and assistance needed to get the most out of their testing tools.

Conclusion

API testing is a critical component of modern software development, ensuring that APIs are reliable, secure, and perform well under load. By following best practices and leveraging the powerful tools offered by SmartBear, teams can enhance their testing processes and deliver high-quality software. Ready to take your API testing to the next level? Explore Nous' SmartBear tools today and see how they can help streamline the testing processes and improve your software quality.

[intelliontechnologies]

TestComplete vs. Selenium: Which One is Right for You?

Introduction

Automated testing is essential for delivering high-quality software. Two of the most popular automation tools in the market are TestComplete and Selenium. While both tools help in testing web applications, they cater to different needs and use cases. In this blog, we will compare TestComplete and Selenium based on features, ease of use, flexibility, and pricing to help you decide which tool is right for you.

What is TestComplete?

TestComplete is a commercial test automation tool developed by SmartBear that allows testers to automate UI testing for web, desktop, and mobile applications. It supports multiple scripting languages, including JavaScript, Python, and VBScript, and comes with a built-in record-and-playback feature for easy test creation.

Key Features of TestComplete:

Supports desktop, web, and mobile applications

Record-and-playback for scriptless automation

Keyword-driven testing and data-driven testing

Integration with CI/CD tools like Jenkins, Azure DevOps

AI-powered object recognition for reliable element detection

Paid tool with dedicated customer support

What is Selenium?

Selenium is an open-source framework used for web application automation. It provides flexibility and control over test execution, making it ideal for developers and testers who need full customization. Selenium supports multiple programming languages like Java, Python, C#, and JavaScript.

Key Features of Selenium:

Open-source and free to use

Supports all major browsers (Chrome, Firefox, Edge, Safari)

Works with multiple programming languages

Can be integrated with TestNG, JUnit, and CI/CD tools

Requires coding knowledge for test automation

Supports parallel test execution using Selenium Grid

TestComplete vs. Selenium: Key Differences

FeatureTestCompleteSeleniumLicensePaid (Commercial)Free (Open-Source)Ease of UseBeginner-friendly, supports scriptless testingRequires coding skillsSupported AppsWeb, Desktop, MobileWeb OnlyLanguages SupportedJavaScript, Python, VBScriptJava, Python, C#, JavaScript, Ruby, PHPIntegrationCI/CD tools like Jenkins, AzureCompatible with TestNG, JUnit, CI/CD toolsTest ExecutionBuilt-in scheduler for running testsNeeds third-party tools for schedulingAI Object RecognitionYesNoParallel TestingSupportedSupported via Selenium Grid

Which One Should You Choose?

Choose TestComplete If:

✅ You need an easy-to-use tool with record-and-playback features ✅ Your team has limited coding skills but needs quick automation ✅ You need to automate web, desktop, and mobile applications ✅ You want a commercial tool with dedicated support

Choose Selenium If:

✅ You need a free, open-source solution for test automation ✅ You have a team with strong programming skills ✅ You only need to test web applications ✅ You want flexibility and customization with different programming languages

Conclusion

Both TestComplete and Selenium are powerful test automation tools, but they serve different purposes. TestComplete is ideal for teams looking for a user-friendly, all-in-one commercial solution, while Selenium is best for developers who prefer an open-source and highly customizable framework.

If you’re interested in mastering TestComplete and improving your automation testing skills, consider enrolling in TestComplete Online Training for hands-on learning and expert guidance.

Would you like to learn more? Let us know in the comments! 🚀

phone number-+91 9655877577

[metastatblog]

Software Testing Automation Market Analysis, Size, Share, Growth, Trends, and Forecasts by 2031

The Global Software Testing Automation Market represents a pivotal domain where innovative solutions converge to streamline and enhance the testing processes integral to software deployment. Software testing automation is not merely a facet of the tech industry; rather, it is a dynamic ecosystem driven by the perpetual quest for precision and reliability.

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Companies

Broadcom Inc.

Capgemini SE

Cognizant Technology Solutions Corp.

IBM Corporation

Idera, Inc.

Katalon, Inc.

Keysight Technologies Inc.

Micro Focus International plc (OpenText)

Parasoft Corporation

QualiTest Group

SmartBear Software, Inc.

Tricentis USA Corp.

Worksoft, Inc.

T𝐡𝐞 𝐅𝐮𝐥𝐥 𝐑𝐞𝐩𝐨𝐫𝐭:@https://www.metastatinsight.com/report/software-testing-automation-market/2526

At its core, the Global Software Testing Automation Market is a response to the escalating demands of software development and the need for rapid, error-free deployment in an era where digital prowess defines competitiveness.

The significance of the market lies in its role as a catalyst for expediting the software development life cycle. By harnessing automation tools and technologies, organizations can transcend the traditional constraints of manual testing, unlocking possibilities for increased speed, accuracy, and scalability in the testing phase. In this market, cutting-edge tools and platforms are continuously emerging, offering solutions that address the nuances of diverse software applications. From functional testing to regression testing, the Global Software Testing Automation Market spans a spectrum of methodologies and techniques, each tailored to meet the specific demands of modern software development projects.

As businesses strive to roll out software updates and new features swiftly, the demand for efficient testing processes becomes increasingly pronounced. Software testing automation emerges as a linchpin in this scenario, allowing organizations to iterate and deploy with confidence, knowing that rigorous testing has been conducted seamlessly and comprehensively.

Moreover, the market is characterized by a confluence of artificial intelligence and automation, ushering in an era where intelligent testing tools go beyond script-based automation. Machine learning algorithms play a pivotal role in adaptive testing, enabling systems to learn and evolve with each testing cycle, thereby enhancing the overall efficacy of the testing process.

The Global Software Testing Automation Market epitomizes the relentless pursuit of excellence in the software development life cycle. It is not merely a market; it is a dynamic ecosystem where innovation converges with necessity, shaping the future of software testing. As organizations across industries navigate the complexities of digital transformation, the role of software testing automation becomes increasingly indispensable, ensuring that the software they deliver is not just functional but also resilient and future ready.

Global Software Testing Automation market is estimated to reach $44,573.6 Million by 2030; growing at a CAGR of 13.6% from 2023 to 2030.

Contact Us:   

inquiry@metastatinsight.com

+1 214 613 5758

[fromdevcom]

Software testing companies make use of a wide array of testing tools to ensure that the product is free from errors and bugs. Here is a list of the different software testing tools, available in the market. Take a look!RanorexIt is one of the most popular GUI testing tools, by which it is possible to execute different automated tests flawlessly through different devices and environments. This tool boasts of the super-smart object recognition feature which detects different changes in the user interface. It also helps in keeping the test ongoing. Other features of this software tool are inclusive of finding bugs at an early stage, reusable code modules, and integration with different tools.SeleniumSelenium happens to be an ideal testing framework that plays a vital role in performing web application testing across various platforms and browsers such as Mac, Windows, and Linux. As you make use of Selenium for using software testing, it comes with a bunch of browser-centered and powerful automation testing scripts that are scalable across the various environments. Besides this, it has high compatibility with different types of automation testing frameworks and programming languages.Tricentis ToscaIt is recognized to be one of the leading software testing tools which are used for the automation of end to end testing for a various software application. This tool provides a single repository for various functional test artifacts which include user stories, requirements, virtualization assets, and test data. It offers capabilities such as service virtualization network, test data provisioning, risk coverage, and mobile applications.HPE Unified Functional TestingAlso referred to as HP QuickTest Professional, HPE Unified Functional Testing contributes to being an automated functional GUI testing tool by which it is possible to automate the user actions on any client based computer app. Furthermore, it offers features such as error handling mechanism, object recognition, automated documentation, to name a few. In addition to this, it makes use of scripting language for the manipulation of objects as well as controlling the application, which is under test.SoapUIIt is regarded as the most advanced Rest and Service Oriented Architecture, which is developed by SmartBear. It is used for functional testing of different web services which are inclusive of invoking web services, web service development. This open-source software testing tool is available at absolutely free of cost which enables the execution and creation of regression, functional, and loading testing. In addition to this, it is also useful in the creation of test cases, with the aid of drag and drop interface.Selenium WebDriverSelenium WebDriver happens to be a well-renowned automation software testing tool that is used on a wide scale by software developers. It is used for the automation of browser-based application You, however, need to keep in mind that it does not provide support to desktop-based applications. This tool allows the end-user to write the automation scripts in a plethora of programming languages such as C#, Java, Ruby, Python, and PHP.JIRAThis popular software testing tool is used by software developers, project managers, etc. You can make the best use of this tool to detect any defects. In addition to this, it is useful in planning as well as creating reports. Besides this, it plays a vital role in the management of different agile software development projects. It also bestows support to agile methodology such as Kanban, Scrum.WatirWatir is another prominent name in the list of software testing tools which is developed by Ruby libraries for the automation of web application testing. Loaded with different Ruby Libraries, it also bestows support to applications that are scripted in different languages. It is possible to link the same with export XML files, databases, spreadsheets, read files, synchronizing code and reusable libraries. It is also considered to be an open-source and lightweight software testing tool.

TestMonitorTestMonitor is recognized to be end to end test management tool for business firms that come with an intuitive and simple approach. It comes with the advanced test case design which is capable of bestowing support to a bunch of cases. They are regarded as robust planning tools that feature milestone cloning and multi-tester runs. In addition to this, it comes with different features such as revolutionary simple User Interface, comprehensive result tracking, risk-based testing.TestRailIt is considered to be a tool for customizable, scalable, web-based test case management. You can set this tool in no time with the aid of cloud-based and SaaS solutions. It plays a vital role in managing the automated and manual test cases, runs, and plans. It also offers a real-time insight into the testing procedure along with informative dashboards, activity reports, and metrics. Besides this, it provides a boost to the efficiency with the personal to-do lists, milestones, and email notifications. It is effective in the documentation of test cases along with expected results and screenshots.Borland Silk CentralBorland Silk Central is a popular software testing tool which plays a vital role in unifying a plethora of test assets into a single tracking, planning, reporting as well as execution hub. They are useful in recreating the issues. This tool provides an insight into the execution of the test along with the TestBook. It also plays a vital role in creating of subscription as well as generation of reports. Furthermore, it allows the testers for sharing the comments as well as raising the questions by posting the comments, as tested.Parasoft SelenicThis software testing tool makes use of Artificial Intelligence for addressing issues along with Selenium. It functions with the existing Selenium tests directly and thus you will not be locked in the proprietary platform. It is beneficial in the optimization of test execution along with Test Impact Analysis. In addition to this, it ensures cross-correlating test execution while the underlying code provides faster feedback from the CI/CD pipeline. It stands out of the ordinary in the creation of Selenium test suites along with the Page Object Model. It is effective in developing the maintainable testing practice from the beginning. Besides this, it reduces the time which is helpful to repair, maintain, and fix the broken tests.

[rohitpalan]

AI-enabled Testing Tools Market to Surge from $426.1 Million in 2023 to USD 2,030.75 Million by 2033, Achieving a 16.9% CAGR

The AI-enabled testing tools market is predicted to capture a valuation of US$ 426.1 million in 2023 and is projected to rise to US$ 2,030.75 million by 2033. As per the FMI report, the market is likely to record a CAGR of 16.9% during the forecast period.

The increasing demand for operating networks and services is fueling the market size. Moreover, the significantly growing telecommunication is estimated to increase market expansion by 2033. Consumers’ growing preferences for efficient and accurate testing for software are propelling market growth further. The manufacturers innovate AI-enabled testing tools to eliminate operating despite faults, advancing the market size.

The increasing Internet of Things, advanced technologies, and Artificial Intelligence propel the market size. IT networking companies are adopting AI-enabled testing tools for managing and monitoring networks, which consequently surges market growth. These testing tools focus on updating fast, quick results and testing applications in the environment that contribute toward propelling the market share. Government initiatives, new market entrances, and growing deep market analysis significantly boost the market size.

Technical Glitches Restrain the Global Market

Artificial Intelligence is an advanced technology progressively adopted in the telecommunication sector, and it plays a crucial role in integrating system safety and functionality in innovative technologies. The telecommunication industry has increased the adoption of AI-enabled testing tools for its maintenance and operating system.

The market has a few restraining factors that may cause a decline in global market growth. Increasing technical glitches and a lack of technicians and experts may restrain the market growth.

Key Takeaways:

The AI-enabled testing tools market is expected to have a valuation of US$ 2,030.75 million by 2033.

With a CAGR of 16.9%, the global market is increasing during the forecast period.

The market in the United States is anticipated to capture a maximum share through 2033.

In the historical period, the market secured a valuation of US$ 195.18 million between 2018 and 2022.

The Role of Key Players in the AI-enabled Testing Tools Market

The prominent players have a crucial role in the global market by capturing maximum output and investing a huge amount in research and development activities. In addition, these key players focus on innovating better quality products and advanced tools as per consumers’ requirements.

The market players launched unique products by adopting various marketing methodologies such as collaborations, mergers, partnerships, product launches, and acquisitions.

Other Prominent Players in the AI-enabled Testing Tools Market are:

Sauce Labs Inc.

ReTest GmbH

Diffblue Ltd.

Functionize Inc

TestRigor

Applitools

Perforce Software

mabl Inc.

IBM Corporation

Capgemini SE

Micro Focus International Plc

Tricentis

Recent Developments in the Global AI-enabled Testing Tools Market:

In October 2022, SmartBear partnered with a China-based company DragonSoft. This strategic innovation took place to improve software quality and innovate products.

In October 2022, Keysight announced its newly launched automated AI testing for 5G smartphones. The motto behind this strategy is to engage many smartphone users and applications through Artificial Intelligence.

In October 2022, Micro Focus launched its new modernization solution technology tool to integrate with Google cloud. It helps speed up and automate in Google cloud and has low risks.

AI-enabled Testing Tools Market by Category

By Solution:

AI-based Tools

Data Wrangling and Pre-processing

Data Visualization

Feature Selection and Reduction

Others

Services

Professional Services

Managed Services

By Technology:

Machine Learning and Pattern Recognition

Natural Language Processing (NLP)

Computer Vision and Image Processing

By Application:

Agility and Coverage

Test and Maintenance Case Generation

Test and Maintenance Optimization

Quality and User Experience (UX)

Coverage and Risk Analytics

Defect Prediction and Prevention

Efficiency and Time-to-Market

Test Automation

Infrastructure Optimization

Data Analytics

By Region:

North America

Latin America

Europe

South Asia & Pacific

East Asia

The Middle East & Africa (MEA)

[vijayashree4400]

Ensuring API Quality: Best Practices for Automation with Cypress  

In the dynamic realm of software development, APIs (Application Programming Interfaces) are essential for seamless communication between different software components. However, ensuring the correctness, reliability, and performance of APIs is a complex challenge. 

API automation testing has become a critical aspect of modern software development, guaranteeing that APIs function as intended and maintain compatibility with various systems. Cypress, widely recognized for its robust end-to-end testing capabilities, also offers powerful tools for API automation. This article explores best practices for API automation using Cypress, equipping you with actionable strategies to enhance the reliability of your APIs and streamline your testing processes. 

The Growing Importance of API Testing 

According to SmartBear's State of API 2020 Report, 84% of organizations emphasize the critical role of API quality in ensuring business success. This highlights the growing significance of APIs as foundational components of modern software ecosystems. 

To meet these high expectations, adhering to proven API automation practices is vital. Below are best practices that can help you leverage Cypress effectively for API testing. 

Best Practices for API Automation Using Cypress 

1. Keep Tests Atomic and Independent 

Creating atomic and independent tests ensures reliability and simplifies debugging. Each test should focus on a specific API functionality, running independently of other tests. This reduces failures caused by test interdependencies and makes it easier to isolate and resolve issues. 

2. Use Fixtures to Mock API Responses 

Fixtures are pre-defined data files that Cypress uses to mock API responses. Mocking API responses with fixtures provides several benefits: 

Controlled Testing Environment: Simulate various scenarios without relying on external servers that might be unavailable or inconsistent. 

Predictable Test Behavior: Ensure consistent test outcomes by using predefined, static data. 

Faster Test Execution: Avoid unnecessary external API calls, speeding up the testing process. 

3. Leverage Environment Variables for Configurations 

Using environment variables to store sensitive information like API endpoints and authentication keys enhances both security and flexibility: 

Improved Security: Keep sensitive data outside the test scripts to prevent accidental exposure. 

Centralized Configuration Management: Modify API configurations without editing test scripts individually. 

Environment Flexibility: Define separate configurations for development, testing, and production environments. 

4. Validate Data with the Yup Library 

The Yup library provides a powerful schema builder for validating API request and response data: 

Enhanced Data Validation: Enforce rules for data types, required fields, and formats. 

Early Error Detection: Catch errors before sending invalid data to the API. 

Improved Code Readability: Keep test code clean by separating validation logic from assertions. 

5. Create Custom Commands with Cypress.Commands 

Cypress allows you to define reusable custom commands to simplify test scripts: 

Code Reusability: Encapsulate repetitive logic to avoid duplication. 

Improved Readability: Replace verbose API interactions with concise, intuitive commands. 

Simplified Maintenance: Update logic in one place, affecting all tests that use the command. 

6. Cover Both Positive and Negative Tests 

A robust API test suite includes both positive and negative scenarios: 

Positive Tests: Confirm that APIs behave as expected with valid inputs. Verify response codes, headers, and body content. 

Negative Tests: Assess API resilience to invalid inputs. Simulate unauthorized access, incorrect formats, or missing fields to ensure the API returns proper error messages. 

7. Debugging Techniques 

Cypress offers several features to simplify debugging: 

cy.intercept(): Intercept and inspect API requests and responses to gain insight into API behavior. 

Error Handling: Use try...catch blocks to gracefully handle unexpected errors and provide meaningful logs. 

Detailed Logging: Log key details like request URLs, payloads, and errors to trace execution flows and diagnose issues. 

8. Use cy.intercept() for Request Control 

The cy.intercept() command enables you to intercept, modify, or simulate network requests and responses. This is particularly useful for testing how applications handle various API scenarios. 

9. Implement Robust Error Handling 

Effective error handling prevents test failures and provides meaningful feedback: 

Graceful Error Handling: Use try...catch blocks to catch unexpected errors and log relevant details. 

Clear Feedback: Ensure error messages include actionable information to facilitate troubleshooting. 

10. Adopt Comprehensive Logging 

Logging is a crucial part of debugging and understanding test behavior: 

Structured Logs: Log relevant details such as request URLs, headers, payloads, and responses. 

Cypress Logging: Use the cy.log() command to embed log messages in test scripts. 

Custom Logging: Create reusable logging functions for consistency across tests. 

Conclusion 

By leveraging Cypress for API automation, you can significantly enhance the quality, reliability, and performance of your APIs while streamlining testing workflows. Implementing best practices—such as keeping tests atomic, using fixtures for mocking, validating data with the Yup library, and adopting comprehensive error handling—ensures your APIs remain robust and resilient in real-world scenarios.

With these strategies in place, development teams can confidently deliver exceptional software experiences, exceeding user expectations and ensuring seamless integration across systems.

If you need expert assistance, please consider an API testing service like Testrig Technologies. Their tailored solutions and in-depth expertise ensure the delivery of bug-free, high-performance applications that drive business success and provide a superior user experience.

[atplblog]

Price: [price_with_discount] (as of [price_update_date] - Details) [ad_1] Introducing the Smartbear Multifunctional 7-in-1 Cleaning Kit, a versatile solution for maintaining cleanliness across your essential gadgets and devices. This comprehensive kit is designed to ensure pristine hygiene for your , keyboards, mobile phones, laptops, and computers, all conveniently bundled in a stylish pink protective pouch. Featuring a microfiber cloth specially crafted for delicate surfaces, this kit effectively removes dust, smudges, and fingerprints without leaving behind any scratches or residue. The compact size and lightweight construction make it ideal for on-the-go use, allowing you to keep your devices spotless wherever you are. Equipped with seven essential cleaning tools, including brushes and swabs of varying sizes, this kit offers precise cleaning for even the smallest crevices and corners of your gadgets. Whether you're tackling dirt buildup in headphone jacks or dust accumulation between keyboard keys, the Smartbear Cleaning Kit ensures thorough and efficient results every time. With its durable construction and thoughtful design, this multifunctional cleaning kit is a must-have accessory for anyone who values the cleanliness and longevity of their electronic devices. Say goodbye to smudges and dirt, and hello to sparkling clean gadgets with the Smartbear Multifunctional 7-in-1 Airpod Cleaning Kit. Comprehensive 7-in-1 cleaning kit designed for maintaining cleanliness across various electronic devices Includes a microfiber cloth ideal for delicate surfaces, effectively removing dust, smudges, and fingerprints Versatile kit suitable for cleaning , keyboards, mobile phones, laptops, and computers Compact and lightweight design for convenient on-the-go use Features a protective pouch in stylish pink, keeping all cleaning tools organized and easily accessible [ad_2]

[ericvanderburg]

SmartBear Boosts Testing Efficiency and Software Quality with Integrated Load Testing in TestComplete

http://securitytc.com/TDw7hl

[thedatagroupnewsservice]

ICYMI: No-code Test Automation Featuring SmartBear HaloAI Now Available on Atlassian Marketplace http://dlvr.it/T9Pjfy

[nuclear-stress-test-services]

Top 10 Mobile Testing Tools for 2024: Features and Comparisons

Introduction: Mobile app development has become a cornerstone of the tech industry, with an ever-growing demand for high-quality, robust applications. Ensuring that these apps function seamlessly across various devices and operating systems is critical. This is where mobile testing tools come into play. As we step into 2024, let's explore the top 10 mobile testing tools, highlighting their features and providing a comparative analysis to help developers and QA professionals make informed decisions.

1. Appium: The Versatile Open-Source Tool Appium remains a favorite among developers due to its flexibility and open-source nature. It supports multiple programming languages like Java, Ruby, Python, and JavaScript, and can test both Android and iOS applications. One of its key features is the ability to write tests against multiple mobile platforms using the same API, making it a versatile tool for cross-platform testing.

2. Espresso: Google's Solution for Android Testing Espresso, developed by Google, is tailored specifically for Android app testing. It stands out for its simplicity and powerful capabilities, allowing developers to write concise and reliable UI tests. Its integration with Android Studio provides a seamless workflow, making it an ideal choice for Android app developers.

3. XCUITest: Apple's Native Testing Framework For iOS app testing, XCUITest is Apple's native testing framework. It is integrated with Xcode and provides a robust solution for testing iOS applications. Its deep integration with the iOS ecosystem ensures high performance and reliability, making it a top choice for iOS developers.

4. Selenium: The Web Testing Veteran While primarily known for web testing, Selenium also offers capabilities for mobile testing through Selenium WebDriver. It supports various programming languages and is highly extensible. Its ability to automate browsers makes it a versatile tool for testing web applications on mobile devices.

5. TestComplete: Comprehensive Automation Tool TestComplete by SmartBear is a comprehensive automation tool that supports a wide range of applications, including mobile, web, and desktop. It provides robust testing capabilities with its record-and-replay feature, scripting options, and seamless integration with CI/CD pipelines. Its support for both Android and iOS platforms makes it a strong contender.

6. Kobiton: Real Device Testing Kobiton offers real device testing, providing access to a cloud-based platform with a wide range of real devices. This ensures accurate and reliable testing across different device models and operating systems. Kobiton's robust features include automated and manual testing, real-time device interaction, and seamless integration with popular CI/CD tools.

7. Perfecto: Cloud-Based Testing Platform Perfecto provides a cloud-based testing platform that offers both real device and virtual device testing. It excels in providing extensive support for various mobile environments and devices. Perfecto's key features include automated testing, performance testing, and advanced debugging capabilities, making it a comprehensive tool for mobile app testing.

8. Calabash: Cucumber-Based Testing Calabash is an open-source tool that allows developers to write and execute automated acceptance tests for mobile applications. It supports both Android and iOS platforms and uses Cucumber, enabling tests to be written in a natural language style. This makes it accessible for non-technical stakeholders to understand and contribute to the testing process.

9. Ranorex Studio: End-to-End Testing Ranorex Studio offers end-to-end testing solutions with its support for mobile, web, and desktop applications. It provides powerful automation capabilities with its user-friendly interface and robust features like cross-browser testing, data-driven testing, and seamless integration with CI/CD pipelines. Its comprehensive reporting and analysis tools enhance its utility.

10. Applitools: Visual Testing and Monitoring Applitools focuses on visual testing and monitoring, providing AI-powered visual validation to ensure pixel-perfect applications. It supports both mobile and web applications and integrates with popular testing frameworks and CI/CD tools. Applitools' unique approach to visual testing helps catch UI discrepancies that traditional testing tools might miss.

Comparative Analysis: When choosing a mobile testing tool, consider the specific needs of your project. Appium and Selenium offer flexibility and cross-platform capabilities, making them ideal for projects requiring extensive cross-browser and cross-device testing. Tools like Espresso and XCUITest, tailored for Android and iOS respectively, provide deep integration and robust performance for platform-specific testing. For those seeking real device testing, Kobiton and Perfecto offer extensive device clouds. Tools like TestComplete and Ranorex Studio provide comprehensive automation solutions, while Applitools adds a unique visual testing dimension to ensure UI consistency.

Conclusion: The mobile testing landscape in 2024 offers a variety of tools, each with unique features tailored to different testing needs. Whether you're looking for open-source flexibility, platform-specific robustness, or cloud-based real device testing, there's a tool that fits your requirements. By understanding the features and strengths of these top 10 mobile testing tools, developers and QA professionals can enhance their testing strategies, ensuring high-quality mobile applications that deliver exceptional user experiences. Read more

[businessindustry]

Automated Testing Software Market Global Industry Analysis by Trends - 2032

The Reports and Insights, a leading market research company, has recently releases report titled “Automated Testing Software Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2024-2032.” The study provides a detailed analysis of the industry, including the global Automated Testing Software Market share, size, trends, and growth forecasts. The report also includes competitor and regional analysis and highlights the latest advancements in the market.

Report Highlights:

How big is the Automated Testing Software Market?

The automated testing software market size reached US$ 5.1 Billion in 2023. Looking forward, Reports and Insights expects the market to reach US$ 10.9 Billion by 2032, exhibiting a growth rate (CAGR) of 8.8% during 2024-2032.

What are Automated Testing Software?                                                                                                                                                                            

Automated testing software comprises tools and frameworks created to automate the running of tests for software applications. It enables developers and quality assurance teams to efficiently test software functionality, performance, and security by executing pre-scripted tests. This software can mimic user interactions, detect bugs and errors, and provide comprehensive reports on test outcomes. Its use enhances testing speed and accuracy, resulting in quicker development cycles and improved software quality.

Request for a sample copy with detail analysis: https://www.reportsandinsights.com/sample-request/1735

What are the growth prospects and trends in the Automated Testing Software industry?

The automated testing software market growth is driven by various factors and trends. The market for automated testing software is experiencing rapid expansion within the software industry, propelled by the widespread adoption of agile and DevOps methodologies. This market encompasses a range of tools and platforms aimed at automating testing processes, enhancing software quality, and expediting time-to-market. Key drivers of market growth include the increasing requirement for continuous testing, the imperative to cut down testing expenses and time, and the escalating complexity of software applications. Additionally, the market is influenced by the escalating trend of digital transformation across industries, which necessitates dependable testing solutions to ensure software applications' reliability and performance. Hence, all these factors contribute to automated testing software market growth.

What is included in market segmentation?

The report has segmented the market into the following categories:

By Type of Testing:

Functional Testing

Performance Testing

Security Testing

Compatibility Testing

Usability Testing

Others

By Testing Tool:

Test Management Tools

Functional Testing Tools

Performance Testing Tools

Security Testing Tools

Codeless Testing Tools

Others

By Deployment Mode:

On-Premises

Cloud-based

By Organization Size:

Small and Medium-sized Enterprises (SMEs

Large Enterprises

By End-User Industry:

IT and Telecom

BFSI (Banking, Financial Services, and Insurance)

Healthcare

Retail

Manufacturing

Government and Public Sector

Media and Entertainment

Others

Segmentation By Region:

North America:

United States

Canada

Europe:

Germany

The U.K.

France

Spain

Italy

Russia

Poland

BENELUX

NORDIC

Rest of Europe

Asia Pacific:

China

Japan

India

South Korea

ASEAN

Australia & New Zealand

Rest of Asia Pacific

Latin America:

Brazil

Mexico

Argentina

Middle East & Africa:

Saudi Arabia

South Africa

United Arab Emirates

Israel

Who are the key players operating in the industry?

The report covers the major market players including:

IBM Corporation

SmartBear Software

Tricentis

Ranorex GmbH

TestComplete

Selenium

Appium

Sauce Labs Inc.

Parasoft Corporation

Eggplant (formerly TestPlant)

Cigniti Technologies

QualiTest Group

Broadcom Inc. (formerly CA Technologies)

Hewlett Packard Enterprise (HPE)

View Full Report: https://www.reportsandinsights.com/report/Automated Testing Software-market

If you require any specific information that is not covered currently within the scope of the report, we will provide the same as a part of the customization.

About Us:

Reports and Insights consistently mееt international benchmarks in the market research industry and maintain a kееn focus on providing only the highest quality of reports and analysis outlooks across markets, industries, domains, sectors, and verticals. We have bееn catering to varying market nееds and do not compromise on quality and research efforts in our objective to deliver only the very best to our clients globally.

Our offerings include comprehensive market intelligence in the form of research reports, production cost reports, feasibility studies, and consulting services. Our team, which includes experienced researchers and analysts from various industries, is dedicated to providing high-quality data and insights to our clientele, ranging from small and medium businesses to Fortune 1000 corporations.

Contact Us:

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[nous-infosystems]

Best Practices for Creating an Effective Test Automation Strategy

Test automation has become essential to ensuring product quality and accelerating release cycles. In software testing, a well-defined test automation strategy plays a pivotal role in ensuring efficient and reliable testing processes. Creating a well-defined test automation strategy also maximizes the benefits of automation. In this blog, you will learn a step-by-step approach to developing an effective test automation strategy for business-critical projects. But first, let us understand why organizations need a robust test automation strategy.

Why do organizations need a test automation strategy?

Test automation cannot be realized without a good test automation strategy. A well-defined automation strategy enables organizations to yield the best test results; without a robust plan, automation can lose focus. The following are some of the reasons organizations must focus on building a solid automation strategy:

Vision: A test automation strategy defines the project's vision and long-term goals. Without a proper plan of action, it might be challenging for teams to have a vision for the project. Since automation projects tend to pivot, having a clear vision can help teams stay focused, avoiding situations where teams may end up postponing or scrapping the project when faced with a glitch.

Business Value: While looking to implement new test automation tools or solutions, teams might overlook the business reasons for the implementation. Without justifying the business value for a new tool implementation or failing to demonstrate the potential Return on Investment (ROI), teams might risk disapproval or the project getting canceled. A test automation strategy helps demonstrate the potential test automation ROI for the project.

Technology: Without a well-defined test automation strategy, teams can also run the risk of choosing the wrong test automation technology for the project. With the wrong technology stack, teams may end up scrapping the entire project or building something new from scratch, causing serious technology efficiency loss.

Risk Analysis: A strategy also enables testing teams to forecast the risk involved in test automation. With a clear-defined strategy, QA teams can address the risks involved, plan workarounds, and keep alternatives ready. Without a strategy, finding a solution can become a challenge in case a risk arises.

Best Practices for Creating a Test Automation Strategy

Now that the reasons for creating a test automation strategy are laid out, let us dive into the steps to get started on one.

Define Objectives and Scope Before diving into test automation, clearly outline the objectives and scope of the test automation strategy. Identify the key goals to achieve through automation, such as reducing regression testing effort, improving test coverage, or enhancing overall product quality. Also, define the scope of the strategy, including the target platforms, browsers, and devices, and the specific types of tests to be automated. By aligning the test automation strategy with these goals and scoping it appropriately, organizations can ensure that their automation efforts are targeted and impactful.   Select the Right Tools and Frameworks Choose automation tools that align with the project requirements and technology ecosystem. Evaluate popular test automation frameworks such as TestComplete, Selenium, Appium, or Cypress based on language support, integration capabilities, community support, and ease of use. While making the selection, consider the application's technology stack and team members' skills. Additionally, integrate the chosen tools with the existing test management and continuous integration systems for seamless automation workflows.

Identify Suitable Test Cases Not all test cases are suitable for automation. Identify the scenarios that can yield the most significant benefits from automation, such as repetitive and time-consuming tasks, critical functionality, or complex business workflows. Start with a subset of test cases that cover essential functionality and gradually expand the automation suite over time. Collaborate with developers, business analysts, and other stakeholders to comprehensively understand the application's behavior and prioritize test cases accordingly.

Design a Modular and Maintainable Framework Develop a scalable and maintainable test automation framework to support the test automation strategy. Use a modular approach to encapsulate reusable functions and libraries, enabling easy maintenance and extensibility. Implement design patterns like Page Object Model (POM) or Screenplay Pattern to enhance test readability, maintainability, and reduce duplication. Consider incorporating keyword-driven or data-driven testing techniques to increase test coverage and efficiency. Regularly review and refactor the test automation framework to accommodate changes in application functionality and keep pace with evolving best practices.

Establish Test Data Management Effective management of test data is crucial for maintaining the integrity and reliability of automated tests. Establish a strategy to handle test data generation, configuration, and cleanup. Leverage techniques such as data pooling, data masking, or dynamic data generation to ensure test repeatability and avoid dependencies on specific datasets. Create separate data repositories or utilize external tools to efficiently manage and manipulate test data.

Establish Continuous Testing and Integration Integrating test automation into the continuous testing and integration pipelines is a crucial practice. Automating test execution as part of the continuous integration (CI) process ensures that tests are triggered automatically with every code change. Leverage tools and frameworks that seamlessly integrate with popular CI/CD platforms to streamline the testing workflows.

Hire a Team of Skilled Automation Engineers

A successful test automation project requires the expertise of a team of testing experts or automation engineers with proven experience in test automation. Businesses with limited resources may sometimes rely on manual testers to automate some of their processes. However, automating tests can take a lot of time. Since manual testing and automation testing are equally important, organizations should hire different people for each. If an organization lacks in-house expertise or cannot afford a whole team of specialists, they can benefit from engaging with a reliable testing services provider.

Conclusion

Building a strong test automation strategy requires careful planning and consideration of various factors. Following these steps can help organizations establish a solid foundation for their automation efforts, potentially leading to benefits like faster releases, improved test coverage, and better software quality. Tools like SmartBear testing solutions can be valuable resources to consider when building your automation strategy.

[mercyjuliet1512]

Navigating the Automation Landscape: A Comprehensive Guide to Selenium WebDriver

Selenium WebDriver stands as a cornerstone in the realm of automated testing, offering a myriad of benefits that empower developers and testers to streamline their testing processes and deliver high-quality software products. With the support of Selenium Training in Pune, mastering this versatile tool becomes not only feasible but also highly impactful. In this guide, we'll explore the key advantages of Selenium WebDriver and delve into notable alternatives, providing insights into the diverse automation landscape.

Unveiling the Power of Selenium WebDriver

1. Seamless Cross-Browser Compatibility: Selenium WebDriver boasts unparalleled compatibility with popular browsers such as Chrome, Firefox, Safari, and Internet Explorer. This cross-browser support ensures consistent test execution across different browsers, enhancing test coverage and reliability.

2. Flexibility with Multi-Language Support: A standout feature of Selenium WebDriver is its compatibility with multiple programming languages, including Java, Python, C#, Ruby, and JavaScript. This flexibility enables developers to write tests in their preferred language, fostering productivity and convenience.

3. Platform-Independent Testing: Selenium WebDriver transcends platform limitations, allowing tests to be executed seamlessly across various operating systems such as Windows, macOS, and Linux. This platform independence streamlines the testing process and facilitates collaboration across diverse environments.

4. Thriving Community Collaboration: The Selenium WebDriver community is vibrant and extensive, comprising developers and testers who actively contribute to its evolution and share valuable insights. Through forums, blogs, and online communities, users can seek support, exchange knowledge, and stay updated on the latest trends and best practices.

5. Embracing Open-Source Freedom: As an open-source tool, Selenium WebDriver offers unparalleled flexibility and customization options. Developers can freely modify and integrate it with other testing frameworks and tools, fostering innovation and adaptability in automated testing solutions.

6. Empowering Complex Interactions: Selenium WebDriver empowers testers to execute complex interactions with web elements, including clicking, typing, dragging and dropping, and handling pop-up windows. This versatility makes it ideal for testing dynamic and interactive web applications, ensuring comprehensive test coverage.

Exploring Alternatives in the Automation Landscape

1. Puppeteer: Developed by Google, Puppeteer is a Node.js library renowned for its high-level API, enabling control of headless Chrome and Chromium browsers. Its features like screenshot capture, PDF generation, and network interception make it a compelling choice for testing and web scraping.  To unlock the full potential of Selenium and master the art of web automation, consider enrolling in the Top Selenium Online Training.

2. Cypress: Cypress is a JavaScript-based testing framework tailored for modern web applications, offering features like automatic waiting, real-time reloading, and a time-traveling debugger. Its streamlined testing experience enhances efficiency and productivity for developers.

3. TestComplete: TestComplete, a commercial automated testing tool by SmartBear Software, supports a wide array of technologies and platforms, including web, desktop, and mobile applications. Its comprehensive features make it a robust choice for diverse testing needs.

4. WebDriverIO: Built on top of Selenium WebDriver, WebDriverIO is a JavaScript-based testing framework offering a synchronous API and native support for JavaScript Promises. Integrations with popular testing tools ensure efficient and reliable testing for web applications.

In conclusion, Selenium WebDriver serves as a beacon of efficiency and reliability in the automation landscape, driving innovation and excellence in software testing. With its array of benefits and notable alternatives, Selenium WebDriver continues to shape the future of automated testing, empowering teams to deliver superior software products with confidence and precision.

[metastatblog]

Software Testing Automation Market Analysis, Size, Share, Growth, Trends, and Forecasts 2023-2030

The Software Testing Automation Market represents a pivotal domain where innovative solutions converge to streamline and enhance the testing processes integral to software deployment. Software testing automation is not merely a facet of the tech industry; rather, it is a dynamic ecosystem driven by the perpetual quest for precision and reliability. At its core, the Global Software Testing Automation Market is a response to the escalating demands of software development and the need for rapid, error-free deployment in an era where digital prowess defines competitiveness.

Get a Free Sample Report:https://www.metastatinsight.com/request-sample/2526

Who are the largest manufacturers of the Software Testing Automation Market worldwide?

Broadcom Inc.

Capgemini SE

Cognizant Technology Solutions Corp.

IBM Corporation

Idera, Inc.

Katalon, Inc.

Keysight Technologies Inc.

Micro Focus International plc (OpenText)

Parasoft Corporation

QualiTest Group

SmartBear Software, Inc.

Tricentis USA Corp.

Worksoft, Inc.

The significance of the market lies in its role as a catalyst for expediting the software development life cycle. By harnessing automation tools and technologies, organizations can transcend the traditional constraints of manual testing, unlocking possibilities for increased speed, accuracy, and scalability in the testing phase. In this market, cutting-edge tools and platforms are continuously emerging, offering solutions that address the nuances of diverse software applications. From functional testing to regression testing, the Global Software Testing Automation Market spans a spectrum of methodologies and techniques, each tailored to meet the specific demands of modern software development projects.

Access Full Report @https://www.metastatinsight.com/report/software-testing-automation-market/2526

As businesses strive to roll out software updates and new features swiftly, the demand for efficient testing processes becomes increasingly pronounced. Software testing automation emerges as a linchpin in this scenario, allowing organizations to iterate and deploy with confidence, knowing that rigorous testing has been conducted seamlessly and comprehensively.

Global Software Testing Automation market is estimated to reach $44,573.6 Million by 2030; growing at a CAGR of 13.6% from 2023 to 2030.

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inquiry@metastatinsight.com

+1 214 613 5758

[y2fear]

SmartBear reveals new and upcoming integrations with its API development platfrom SwaggerHub