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Deep Understanding about What is the testing method used for IoT

What is the testing method used for IoT Food, Shelter, clothing would be the necessities of life if you asked from any individual. But that was actually before a century. Since then, human beings' essentials have been evolved in lots of changes to make life simple, better, more comfortable, and smarter. We have stopped using traditional gates to close the entry to our gardens. We have stopped using switches to regulate lights. We have started monitoring our health smartly, Tracking movements more efficiently, and the list goes on. The reason for all these changes can be described under Internet f things. (IoT). What is the (IoT)? The IoT is a network of physical things/devices ranging from ordinary household appliances to sophisticated industrial objects embedded with sensors, microchips, and software, etc., to collect and exchange data with other devices and systems over the Internet. The most common four components of an IoT system are - Sensors - Applications - Networks - Backend (Data Centre) What is IOT testing? IoT testing is testing used to check IoT devices. Nowadys there is an increasing need to deliver better and faster service to the customer. IoT testing plays a prominent role in the current world due to the enormous demand to access, create, use, and share data from the larger number of interconnected IoT devices. The testing helps to finalize performances against the business and user requirements. Types of IoT Testing   There are mainly five IOT testing methods. - Usability - Security - Performance - Compatibility - Connectivity Usability Usability testing is a type of non-functional testing. This testing includes testing the device for usability, depending on the device's use and depends on customer perception. This testing is determined to recognize how people like to have their device/application, which is not easy. The Usability testing is necessary to discover problems in the design, find opportunities to improve the design, and to learn about user's behaviors and preferences. Usually, this testing is not executed by the development team but by real-life users. Security In the modern world, lots of companies use applications to complete their business needs. Web-based payroll systems, ERP systems, and banking applications are being used and sold as products to the people. This means online applications have gained their users' trust in the most dynamic feature, which is Security. If an online system cannot protect its data, no one will think of using it ever again. Therefore, security testing in IoT is one of the vital testings. Many users are accessing a large amount of data in the IoT environment; hence IOT Security testing is important to validate users via authentication and have data privacy. Further this includes encryptions/ decryptions etc. Performance Performance testing is tested to determine the speed, responsiveness, and stability of a device/application. The particular system or the application should be scalable enough to handle the workload of the specific user. Typical parameters to performance testing include processing speed, data transfer rate, network bandwidth, workload efficiency, reliability, etc. Compatibility Compatibility testing is non-functional testing. This is conduct to ensure customer's satisfaction regarding the application/device. This test determines whether the product is proficient enough to run in different browsers, databases, hardware, operating systems, etc. An application could also be impacted due to internet speed, version, resolutions, etc. Hence running a compatibility test is very important in all possible manners to reduce failures. Connectivity IoT connectivity is the connection between all the points IOT, such as devices, sensors, applications, and other systems. If the connectivity fails, the whole system runs malfunctioning. Therefore, a system has to available all the time. Hence connectivity is also one of the main factors affecting IoT. MRSELENIUM Read the full article

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Deep Dive with System Verification & Validation

Deep Dive with System Verification & Validation The terms verification and validation are frequently used in software engineering to mean two different types of analysis. These are two other procedures used to check whether a product or a service meets specific requirements and specifications to meet customer needs. The most straightforward definitions for verification and validation can be stated as below; - Verification – Are we building the right system? - Validation – Are we building the system, right? - According to the PMBOK guide, a standard adopted by the Institute of Electrical and Electronics Engineers (IEEE) defines the verification and validation as below. - "Validation. The assurance that a software product, service, or system meets the needs of the client and other identified stakeholders. It also involves acceptance and suitability with external customers. Contrast with verificationverification." - "VerificationVerification. The evaluation of whether or not a product, service, or system complies with a requirement, regulation, specification, or imposed condition. It is often an internal process. Contrast with Validation." In other words, validation checks whether the product, service, or system meets the customer's actual need. In contrast, verification is concerned with whether the product, service, or system is well-engineered, error-free, etc.  Verification will help decide whether the product is of high quality, but it will not guarantee that it is useful. The difference between these two terms is mostly to do with the specification. Validation is the procedure of checking whether the specification lies with customer needs, whereas verification is the process of testing that software meets the required specifications. Verification Verification involves all the undertakings associated with making a high-quality product or service. It includes testing, inspection, design analysis, specification analysis, and so on in a development phase verification process involved in performing a particular test to simulate a part or entire product, service, or system, then conducting an analysis of the test. In the post-development stage, the verification procedure involves regular conduction tests to ensure that the product, service, or system continues to meet initially designed requirements or specifications. Verification can happen throughout the development, scale-up, or production. Verification is often an internal process a very objective. On the other hand, validation is very subjective and an external process. It involves making subjective assessments of how well the product, service, or system addresses the real world's need. Validation comprises activities such as modeling, prototype, and user evaluations. In a new development flow or verification flow, the validation process involves modeling either flow and simulations to predict faults and failures that might invalidate the product or incomplete verification or development in the product, service, or system. In the traditional software development lifecycle (SDLC), verification was often considered and carried out the verification process in each phase. Instead of validation process was done just in the beginning and in the project's ending: requirement analysis and acceptance testing. Traditionally, it assumed that customer requirements can be identified entirely at the beginning of the project and will not change with the development of the product. But in practice, customer's requirements vary throughout the project. Therefore, both Validation and Verification are needed throughout the software development lifecycle. The chart below will help to understand validation and verification much easily.   Validation Verification Definition as per IEEE – STD – 610 "An activity that ensures that an end product stakeholder's true needs and expectations are met." "A test of a system to prove that it meets all its specified requirements at a particular stage of its development." Process of Ensuring that we develop the product correctly to meet user's need Ensuring that we develop the product according to specifications. Activity Type High level Low level Target Actual product Application, Software architecture, Database design, etc. Methodologies Black box testing, white box testing, non-functional testing, etc. Reviews, Walkthroughs, Inspections, Desk-checking, etc. https://mrselenium.com/   Read the full article

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How to perform CODE is written with API Testing

How to perform CODE is written with API Testing API TESTING was a software testing type that validates Application Programming Interfaces (APIs). API Testing aims to see the functionality, reliability, performance, and security of the programming interfaces. In API Testing, rather than using standard user inputs(keyboard) and outputs, you employ software to transmit calls to the API, get a result, and write the system's response. The API tests are very different from GUI Tests and won't consider the design and next realize of an application. It mainly condenses on the business logic layer of the software architecture. Well, not so fast, and The language and syntax of APIs severely limit their abilities. There are four sorts of actions an API can take: GET: requests data from a server — are often status or specifics (like last_name) POST: sends changes from the client to the server; consider this as adding information to the server, like making a replacement entry PUT: revises or adds to existing information DELETE: deletes existing information When you combine the endpoints with these actions, you'll search or update any available information over an API. You'll get to check the API documentation to seek out out the way to code these actions, as they're all different. While we're talking about language and syntax, let's cover the ways you'll make an invitation on a server: HTTP: hypertext transfer protocol. This is often how you bought to our site in the first place — by typing a URL within the search bar in your browser. This is often a very easy thanks to access data, but it won't come to you in a pretty format if you request tons of data. We'll enter this further in only a second. Text formats: XML, JSON. These are the most languages for accessing data over an API. Once you receive your data, you'll get to go through the XML or JSON code to know what the server gave you. How to Test API API automation testing should cover a minimum of the following testing methods aside from the normal SDLC process Discovery testing: The test group need manually fulfill the set of calls documented and within the API, like verifying that a selected resource exposed by the API is often listed, created, and deleted as appropriate Security testing: This testing includes what sort of authentication is required and whether sensitive data is encrypted over HTTP or both Automated testing: API testing needs to culminate within the creation of a group of scripts and a tool that will be wont to execute the API regularly. Documentation: The test team has got to confirm that the documentation is adequate and provides enough information to interact with the API. Documentation should be a neighborhood of the ultimate deliverable. Best Practices of API Testing: -API Test cases should be group by test category -On top of every test, you ought to include the declarations of the APIs being called. -Parameters selection should be explicitly mentioned within the test suit itself -Prioritize API function calls in order that it'll be easy for testers to check -Each test suit should be as self-contained and independent from dependencies as possible -Avoid "test chaining" in your development -Special care must take while handling one-time call functions like - Delete, CloseWindow, etc... -Call sequencing should be performed and strategically -To ensure then complete test coverage and create API test cases for all possible input combinations of the API. Types of Bugs that API testing detects -Fails to handle error conditions gracefully -Unused flags -Missing or duplicate functionality -Reliability Issues. and show Difficulty in connecting and getting a   response from API. -Security Issues -Multi-threading issues -Performance Issues. API reaction time is extremely high. -Improper errors/warning to a caller -Incorrect handling of valid argument values -Response Data isn't structured correctly (JSON or XML) Challenges of API Testing Challenges of API testing includes: -Web API testing is a Parameter Combination, Parameter Selection, and Call Sequencing. -There is no GUI available to check the appliance, which makes it difficult to offer input values. -Validating and Verifying the output during a different system is small difficult for testers. -Parameters selection with categorization is required to be known to the testers. -Exception handling function must be tested. -Coding knowledge is important for testers. Conclusion: API consists of a group of classes/functions/procedures which represent the business logic layer. If API isn't tested properly, it's going to cause problems not only in the API application but also within the calling application. it's an important test in software engineering. Read the full article

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Agile Test Driven Development [TDD]

Test Driven Development Test Driven Development (TDD) is a software development program throughout which test cases are developed to define and validate what the code will do. In simple terms, test cases for every functionality are created and tested first and if the test fails then the new code is written so as to pass the test and making the code simple and bug-free. Test-Driven Development starts with designing and developing tests for each small functionality of an application. TDD instructs developers to write down new code as long as an automatic test has failed. This avoids duplication of code. the complete sort of TDD is Test-driven development. Benefits of TDD: -Much less debug time -Code proven to satisfy requirements -Tests become Safety Net -Near zero defects -Shorter development cycles How to perform TDD Test: Following steps define the way to perform TDD test, -Add a test. -Run all tests and view if any new test fails. -Write some code. -Run tests and Refactor code. -Repeat. Some clarifications about TDD: - TDD is neither about "Testing" nor about "Design". - TDD doesn't expect to "write a number of the tests, then develop a system that passes the tests. - TDD doesn't mean "do many Testing." What is acceptance TDD and Developer TDD There are two levels of TDD - Acceptance TDD (ATDD): With ATDD you write one acceptance test. This test fulfills the need for the specification or satisfies the behavior of the system. Read the full article

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Efficient API Testing Tools Walk Through

API (Application Programming Interface) was a computing interface which enables communication and data interchange between two individual software systems. Software that executes an API includes several functions/subroutines that another software can perform. API defines requests which will be made, the way to make requests, data formats which will be used, etc. between two software systems. API testing tools are as follows: - Postman - Apigee - SoapUI - Katalon Studio - JMeter - Pyresttest - Karate DSL - Assertible - Rest-Assured - Paw - RapidAPI - Tricentis Tosca - RestSharp - Airborne Let’s discuss the testing tools Postman To begin with a Chrome browser plugin, Postman now extends its solution with the native version for Mac and Windows. Postman may be a good selection for API testing for those that don't want to affect coding in an integrated development environment using an equivalent language because of the developers. Features: Helps in automated testing. Assists in exploratory testing. It allows Swagger and RAML (RESTful API Modeling Language) formats. It supports knowledge sharing within the team. Best For The best tool for API testing. It's rich in features, available for free of charge, and has specialized reviews from its users. Apigee Apigee may be a cross-cloud API management platform. It produces security and governance policies for all APIs. Read the full article

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Deep Dive Interactions between API & Application

Deep Dive Interactions between API & Application Interactions between Application programming interface & Application application programming interfaces and the applications both serve as platforms for interactions between systems or applications. Interestingly, many of us once and again tend to get confused between the two overlapping terms, and it’s prevalent to use these terms in exchange. However, the verity is that these two are different concepts and, in this blog, you’ll discover the difference between the two, based on the advantages, features, and basics about each one. Application programming interface An Application Programming Interface, was used to represent a set of definitions and protocols that enable one application to interconnect and communicate with another application. Today, the term  application programming interface was used to refer to Web application programming interfaces. Advantages The following are the advantages of  application programming interface: -Through  application programming interface rather than people, computer machines can manage the work, as it enables automation. -It was work with HTTP verbs GET, PUT, POST, and DELETE and supports the CRUD operations. -Application programming interfaces can be accessed by the app components, and the delivery of services and information is more flexible. -Using application programming interfaces, any user or company can be customized the content and services that they use the most. Read the full article

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Deep Dive Interactions between API & Application

Deep Dive Interactions between API & Application Interactions between Application programming interface & Application application programming interfaces and the applications both serve as platforms for interactions between systems or applications. Interestingly, many of us once and again tend to get confused between the two overlapping terms, and it’s prevalent to use these terms in exchange. However, the verity is that these two are different concepts and, in this blog, you’ll discover the difference between the two, based on the advantages, features, and basics about each one. Application programming interface An Application Programming Interface, was used to represent a set of definitions and protocols that enable one application to interconnect and communicate with another application. Today, the term  application programming interface was used to refer to Web application programming interfaces. Advantages The following are the advantages of  application programming interface: -Through  application programming interface rather than people, computer machines can manage the work, as it enables automation. -It was work with HTTP verbs GET, PUT, POST, and DELETE and supports the CRUD operations. -Application programming interfaces can be accessed by the app components, and the delivery of services and information is more flexible. -Using application programming interfaces, any user or company can be customized the content and services that they use the most. Read the full article

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Agile Software Development Deep Dive

Agile Software Development What do you mean by Agile? Agile means the ability to make and respond to changes. It is also a way of dealing with and succeeding in a dynamic environment. Simply agile is thinking through the changes that are going on in the dynamic environment that we are in today and identifying uncertainties, and figuring out a way to adapt those uncertainties. This approach prioritizes incremental, feedback-driven changes to develop software. History of Agile Software Development? Before the Agile Software Development method, developers used to follow the Traditional Software Development method (waterfall method). This method development team spent lots of time and effort upfront, gathering details, and planning development based on lots of uncertain information. And this method used a linear approach where all the stages of the software development lifecycle must be completed in sequential order. Developers felt this waterfall method of software development constricting, regulated, and very slow-moving. With time, this feeling amplified, and software developers wanted a flexible, user-friendly, fast development method that allows room for errors, bugs, setbacks, and feedback from users. In the year 2001, a team of 17 individuals came up with the Agile Software Development method.  After a few days, they documented their beliefs on how software development should be run, named Agile Manifesto. What is Agile Software Development? Agile Read the full article

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Agile Software Development Deep Dive

Agile Software Development What do you mean by Agile? Agile means the ability to make and respond to changes. It is also a way of dealing with and succeeding in a dynamic environment. Simply agile is thinking through the changes that are going on in the dynamic environment that we are in today and identifying uncertainties, and figuring out a way to adapt those uncertainties. This approach prioritizes incremental, feedback-driven changes to develop software. History of Agile Software Development? Before the Agile Software Development method, developers used to follow the Traditional Software Development method (waterfall method). This method development team spent lots of time and effort upfront, gathering details, and planning development based on lots of uncertain information. And this method used a linear approach where all the stages of the software development lifecycle must be completed in sequential order. Developers felt this waterfall method of software development constricting, regulated, and very slow-moving. With time, this feeling amplified, and software developers wanted a flexible, user-friendly, fast development method that allows room for errors, bugs, setbacks, and feedback from users. In the year 2001, a team of 17 individuals came up with the Agile Software Development method.  After a few days, they documented their beliefs on how software development should be run, named Agile Manifesto. What is Agile Software Development? Agile Read the full article

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Digging into JMeter for Load Testing

Digging into JMeter for Load Testing JMeter Load Testing It is a testing process which can be done using a load testing tool named as Apache JMeter. Apache Jmeter is an open source desktop application based on Java. JMeter for load testing is a tool that checks whether the web application under test can satisfy load requirements or not. It also helps to analyze overall server under heavy load. Load testing is a type of performance testing. Stress testing is another type of performance testing. Most people confused and can’t differentiate between load testing and stress testing. I want to clear these both types. These both are types of performance testing or you can say these both are subsets of performance testing. In these both types, we check performance of a system. But in load testing, we test performance of a system under an expected load. In stress testing, we give an unexpected load to check that how system behaves under extreme load and how it recovers. JMeter testing tool offers following benefits in performance testing: - JMeter is employed to check the performance of both dynamic and static resources such as JavaScript, HTML, JSP, Servlets, and AJAX. - JMeter can be used to test maximum number of concurrent users that your website can handle. - It provides graphical analyses of performance. In this article, I will perform load testing on www.google.com using JMeter for 1000 users. Read the full article

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Deep Dive with Sanity Testing

Deep Dive with Sanity Testing Sanity-Testing is a subset of regression testing. Sanity-testing is performed to ensure that the code changes that are made are working as properly. Sanity testing is a stoppage to check whether testing for the build can proceed or not. The focus of the team during the sanity testing process is to validate the functionality of the application and not detailed testing. Sanity-testing is generally performed on build where the production deployment is required immediately like a critical bug fix. Functionality of Sanity-Testing: The major functionality of sanity-testing is to determine that the changes or the proposed functionality are working as expected. If the sanity test fails, the software product is rejected by the testing team to save time and money. It is performed only after the software product has passed the smoke test and Quality Assurance team has accepted for further testing. Features of Sanity-Testing: - Subset of Regression Testing: Sanity-testing is a subset of regression testing and focuses on the smaller section of the application. - Unscripted: Most of the time sanity-testing is not scripted. - Not documented: Usually sanity-testing is undocumented. - Narrow and deep: Sanity testing is a narrow and deep approach of testing where limited functionalities are covered deeply. - Performed by testers: Sanity-testing is normally performed by testers. Read the full article

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Walk Through with main challenges in API testing

Walk Through with main challenges in API testing 9 Best API Testing Challenges An Application Programming Interface (API) instruction protocols, rules, routines, logic, and tools for establishing communication between different systems and applications. An API forms the centre layer of a three-layered application pyramid, consisting of a knowledge layer, a server layer, and a presentation layer. While the info layer cares with data storage and therefore the presentation layers are concerned with the interface, the server layer consists of business logic that defines the way for users to interact with various functions, features, and knowledge. Thorough the testing practices help QA and development teams not only create code that works but create code that works efficiently. The subsequent nine challenges in testing APIs are critical: Initial Setup of Application Programming Interface Testing Manual testing helps confirm whether something works. Automated testing is essential with APIs to measure how well they perform struggling. Getting the testing of an infrastructure up and running is usually one among the only challenging parts of the process–not because it's tough, but because it is often a considerable motivation-killer. Before you manage to motivate your team to urge through the method, however, it pays off over the long-term. Updating Read the full article

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Walk Through with Understanding 10 Best API testing Tools

Walk Through with Understanding 10 Best API testing Tools Application Programming Interface API may be a computing interface which enables communication and data interchange between two individual software systems. Software that executes an API includes several functions/subroutines that another software can perform. API defines requests which will be made, the way to make requests, data formats which will be used, etc. between two software systems. The 10 best API testing tools are: Katalon Studio Katalon Studio may be a free test automation tool for API, Web, Desktop App, and Mobile applications. Moreover, the potential of mixing UI and API/Web services for multiple environments (Windows, Mac OS, and Linux) has been considered a distinct advantage of Katalon Studio among the highest API tools. Feature highlights: - It support both SOAP and Rest All-in-one buy API, WebUI, Desktop App, and Mobile testing and, therefore, the combined capabilities among those requests with various types of commands such as GET, POST, PUT, DELETE with parameterized capability. - It can Support the data-driven approach. - It Can be used for automated exploratory testing. - Support CI/CD integration. - Support AssertJ, one among the foremost potent assertion library, to make a fluent assertion with BDD style useful for both non-techies and pros via Manual and Groovy Scripting modes. Website: https://www.katalon.com SoapUI SoapUI Read the full article

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Walk Through with Understanding 10 Best API testing Tools

Walk Through with Understanding 10 Best API testing Tools Application Programming Interface API may be a computing interface which enables communication and data interchange between two individual software systems. Software that executes an API includes several functions/subroutines that another software can perform. API defines requests which will be made, the way to make requests, data formats which will be used, etc. between two software systems. The 10 best API testing tools are: Katalon Studio Katalon Studio may be a free test automation tool for API, Web, Desktop App, and Mobile applications. Moreover, the potential of mixing UI and API/Web services for multiple environments (Windows, Mac OS, and Linux) has been considered a distinct advantage of Katalon Studio among the highest API tools. Feature highlights: - It support both SOAP and Rest All-in-one buy API, WebUI, Desktop App, and Mobile testing and, therefore, the combined capabilities among those requests with various types of commands such as GET, POST, PUT, DELETE with parameterized capability. - It can Support the data-driven approach. - It Can be used for automated exploratory testing. - Support CI/CD integration. - Support AssertJ, one among the foremost potent assertion library, to make a fluent assertion with BDD style useful for both non-techies and pros via Manual and Groovy Scripting modes. Website: https://www.katalon.com SoapUI SoapUI Read the full article

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Walk Through With Understanding What Is An API Testing

Walk Through With Understanding What Is An API Testing API (Application Programming Interface) may be a computing interface which enables communication and data interchange between two individual software systems. Software that executes an API includes several functions/subroutines that another software can perform. API defines requests which will be made, the way to make requests, data formats which will be used, etc. between two software systems. What is API Testing? API TESTING may be a software testing type that validates Application Programming Interfaces (APIs). API Testing aims to see the functionality, reliability, performance, and security of the programming interfaces. In API Testing, rather than using standard user inputs(keyboard) and outputs, you employ software to transmit calls to the API, get a result, and write the system's response. The API tests are very different from GUI Tests and won't consider the design and next realize of an application. It mainly condenses on the business logic layer of the software architecture. Automated API Testing: Automating API testing is necessary for functional, load, regression, and integration testing. API automation streamlines integration and regression testing whenever a replacement change is formed. It accepts the testing of business functions separately from the interface. Read the full article

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Deep Dive with JMeter

Deep Dive with JMeter Introduction to JMeter JMeter is an open source software. It was designed to test functional behavior and measure performance. It was developed by Stefano Mazzocchi. JMeter is used to analyze and measure the performance of web application and many other services. Performance Testing is a testing technique in which we test a web application against heavy load, multiple and concurrent user traffic. It is used to know the efficiency of a web server. JMeter is basically used for testing Web Application or FTP application. Nowadays, it can be also used for a functional test, database server test. Let’s take an example to understand the use of JMeter. For example, you have to test performance of www.google.com for 100 users. It’s not an easy task to arrange 100 people with PC. Let’s say you arrange 100 users with PC. But, what you will do if you have to test it for 100000 users. It’s impossible. So, here you need a performance tool like JMeter which helps you to test the behavior of a website under some load. Advantages: - Open source license: It is totally free. It also allows developers to use the source code for their development. - Friendly GUI: JMeter is extremely easy to use and understand. It doesn't take time to get familiar with it. - Platform independent: It can run on multiple platforms because JMeter is 100% pure Java based desktop application. - Visualize Test Result: Read the full article

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Walk Through with main challenges in API testing

Walk Through with main challenges in API testing challenges in Application Programming Interface testing An Application Programming Interface (API) instruction protocols, rules, routines, logic, and tools for establishing communication between different systems and applications. An API forms the centre layer of a three-layered application pyramid, consisting of a knowledge layer, a server layer, and a presentation layer. While the info layer cares with data storage and therefore the presentation layers are concerned with the interface, the server layer consists of business logic that defines the way for users to interact with various functions, features, and knowledge. Thorough the testing practices help QA and development teams not only create code that works but create code that works efficiently. The subsequent nine challenges in testing APIs are critical: Initial Setup of Application Programming Interface Testing Manual testing helps confirm whether something works. Automated testing is essential with APIs to measure how well they perform struggling. Getting the testing of an infrastructure up and running is usually one among the only challenging parts of the process–not because it's tough, but because it is often a considerable motivation-killer. Before you manage to motivate your team to urge through the method, however, it pays off over the long-term. Updating Read the full article