#regressiontesting

[briskwinits]

Ensure a defect-free software application, irrespective of frequent changes, by using our regression testing services.

For more, visit: https://briskwinit.com/regression-testing/

[sudarshannarwade]

What is Regression Testing?

Regression Testing is done to ensure that the product works fine with new functionality, bug fixes, or any changes to the existing feature. Previously executed test cases are re-executed to verify the impact of the change. read more

[businessviewpointmag]

Software Development Life Cycle (SDLC): A Comprehensive Guide

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In the ever-evolving landscape of technology, the Software Development Life Cycle (SDLC) has emerged as a crucial framework for building high-quality software efficiently. For businesses and developers in India, understanding the intricacies of SDLC can lead to more successful projects, reduced costs, and improved product quality. This article delves into the various stages of the Software Development Life Cycle (SDLC), highlighting their significance and the best practices that can be adopted.

What is the Software Development Life Cycle (SDLC)?

The Software Development Life Cycle (SDLC) is a structured process that outlines the stages involved in software development from inception to deployment and maintenance. It serves as a roadmap for developers, guiding them through the complexities of creating software applications. The SDLC comprises several phases, each with specific objectives and deliverables.

1. Planning and Requirement Analysis

The first phase of the Software Development Life Cycle (SDLC) is planning and requirement analysis. During this stage, stakeholders, including clients and project managers, collaborate to gather and analyze the requirements of the software. This step is crucial, as it sets the foundation for the entire project.

In the Indian context, where diverse user needs must be addressed, thorough requirement analysis can prevent misunderstandings and scope creep later in the development process. The outcome of this phase is a detailed requirement specification document that outlines the functionalities and constraints of the software.

2. Design

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Once the requirements are clearly defined, the next step in the Software Development Life Cycle (SDLC) is the design phase. This stage involves creating a blueprint for the software system, including architecture, user interfaces, and data structures.

In India, where user experience plays a pivotal role in software adoption, designing intuitive and user-friendly interfaces is vital. The design phase may include both high-level design (HLD) and low-level design (LLD) documents, which serve as a guide for developers in the next phase.

3. Development

Following the design phase, the actual development of the software takes place. This is where developers write the code based on the specifications and designs established in the earlier phases of the Software Development Life Cycle (SDLC).

In India, with a vast pool of skilled developers, this stage often employs various programming languages and frameworks suited to the project’s requirements. Collaboration tools and version control systems are commonly utilized to ensure seamless communication among team members and maintain code integrity.

4. Testing

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Testing is a critical phase in the Software Development Life Cycle (SDLC) that ensures the software functions as intended and meets the specified requirements. Various testing methods, such as unit testing, integration testing, system testing, and acceptance testing, are conducted to identify and rectify defects.

In the Indian software industry, where competition is fierce, robust testing practices can significantly enhance product quality and user satisfaction. Automated testing tools are increasingly being adopted to streamline this phase and reduce time-to-market.

5. Deployment

Once the software has been thoroughly tested, it is time for deployment. This phase involves releasing the software to the end-users. In India, organizations often opt for a phased or full deployment strategy, depending on the scale and nature of the project.

During this stage, developers must also consider factors like user training and support to ensure a smooth transition for users. Effective deployment strategies can lead to higher user adoption rates and a better overall experience.

6. Maintenance and Support

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The final phase of the Software Development Life Cycle (SDLC) is maintenance and support. After deployment, software must be continually monitored and maintained to address any issues that arise and implement necessary updates or enhancements.

In the Indian context, where technology and user needs evolve rapidly, ongoing maintenance is essential to keep software relevant and functional. This phase may involve bug fixes, performance optimization, and feature updates based on user feedback.

Best Practices for Effective SDLC Implementation

To maximize the benefits of the Software Development Life Cycle (SDLC), organizations in India can adopt several best practices:

Involve Stakeholders Early: Engage stakeholders in the planning and requirement analysis phase to ensure their needs are accurately captured.

Adopt Agile Methodologies: Implement Agile principles to enhance flexibility and responsiveness to changing requirements throughout the SDLC.

Emphasize Documentation: Maintain comprehensive documentation at each phase of the SDLC to facilitate communication and knowledge sharing among team members.

Utilize Automation Tools: Incorporate automation tools for testing and deployment to improve efficiency and reduce human error.

Foster Continuous Learning: Encourage team members to stay updated on the latest technologies and trends in software development to maintain a competitive edge.

Conclusion

The Software Development Life Cycle (SDLC) is an indispensable framework that guides software development projects from start to finish. For businesses and developers in India, understanding and implementing the various phases of SDLC can lead to enhanced product quality, reduced development costs, and increased user satisfaction. By adhering to best practices and embracing a structured approach, organizations can navigate the complexities of software development and deliver successful projects that meet the needs of their users.

In today’s fast-paced technological environment, leveraging the Software Development Life Cycle (SDLC) effectively will be a key differentiator for Indian software companies, enabling them to thrive and innovate in a competitive market.

Did you find this article helpful? Visit more of our blogs! Business Viewpoint Magazine

[mentortech]

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[webomates]

What is Automated Regression Testing? & Best Practices

What is Automated Regression Testing?

Automated regression testing is a software testing process. It repeats previously developed test cases to ensure that recent changes in test cases or enhancements to the software have not negatively affected its existing functionality and efficiency.

In other words, there is always a risk of damage to existing features when new code is added or changes which are made to a software application. Regression testing helps to tackle this risk by systematically retesting the software parts.

Automation in regression testing means using automated test tools or scripts to run test cases instead of manually. This process increases productivity and accuracy. As it allows repeated testing without the need for manual interference. Automated regression testing is particularly useful in projects that require frequent updates or ongoing integration/deployment processes. In this manual testing alone may not be the best option due to time consumption and the number of tests required in regression testing.

Why choose automatic regression testing?

Regression testing is one of the important ways to ensure that recent changes to your software have not negatively impacted existing services and software performance but manual regression testing can be time-consuming, error-prone, and costly. While automation testing can significantly reduce testing time and testing costs. Moreover, it will improve the efficiency and accuracy of the test.

Best practices for automating regression tests

Comprehensive Test Coverage: During the software testing process, you should prioritize the basic functionality and features of regression testing. It will greatly improve your independent testing and help you focus on the areas of greatest impact.

Modular Test Design: You should divide your test case into smaller reusable modules. This modular approach can increase the maintainability and scalability of the trial and facilitate efficient trial design and execution.

Version Control Integration: Regression testing should be integrated into version control systems such as Webomates to facilitate integration with test management. This will ensure that your test is always up to date with the latest regulatory changes.

Continuous Integration (CI) Pipeline: Add regression testing to your CI pipeline to identify problems early in the development lifecycle of software. It integrates easily with popular CI/CD tools and enables automatic testing as part of your workflow.

Regularly maintain testing: Update and maintain your automated test case regularly to keep up with changes to the application that is tested. A good interface simplifies testing and maintenance tasks. It will ensure that your testing remains robust and reliable over time.

Automated Visual Regression Testing

Visual regression testing is essential to detect visual changes during software updates. It offers advanced testing capabilities. Also, it will allow you to compare visuals of your application across different platforms and applications. With pixel-perfect accuracy and a stable comparison system, you can detect optical anomalies with accuracy and reliability.

Unlock the Power of Automation with Webomates

Whether you are a software developer, tester, or quality assurance professional, with Webomates you can empower your testing efforts and you can confidently deliver superior software. With our comprehensive automation solutions and best practices for regression testing, you can speed up release cycles, and reduce errors. For more information click here Automated regression testing

[digitalbugs11]

10 Steps to Mastering How to Conduct Effective Software Testing

Introduction: In the ever-evolving landscape of software development, ensuring the quality and reliability of software products is paramount. Effective software testing is not just about finding bugs; it’s about delivering a seamless user experience, enhancing product performance, and instilling confidence in your users. In this comprehensive guide, we’ll delve into the intricacies of software…

[anusha-g]

What is the importance of test data in automation testing?

Test data is crucial in automation testing for several reasons:

Repeatability and Consistency: Automation tests need consistent and repeatable data to ensure that test cases produce the same results each time they are executed. Having predefined test data allows testers to achieve this consistency.

Coverage: Test data helps ensure that various scenarios are covered during testing. By providing different sets of data, testers can validate different paths and conditions within the application, improving the overall test coverage.

Boundary Testing: Test data often includes boundary values that help in testing the extremes of input ranges. This is important for identifying potential issues at the edges of acceptable input, such as minimum and maximum values.

Error Handling: Automation tests need to verify how the system handles different types of data, including erroneous or invalid input. Test data can include intentionally incorrect or unexpected values to test error handling and recovery mechanisms.

Performance Testing: In some cases, test data is used to simulate real-world scenarios and loads, helping in performance testing. For example, data representing peak loads can be used to evaluate system performance under stress.

Regression Testing: When updates or changes are made to the application, having a set of predefined test data allows for easy regression testing. Testers can quickly rerun tests with the same data to ensure that new changes do not introduce unexpected behavior or regressions.

Data-Driven Testing: Automation frameworks often support data-driven testing, where test scripts are executed with different sets of input data. Test data drives these tests, allowing for efficient testing of multiple scenarios without duplicating test code.

Security Testing: Test data can also include sensitive information like passwords, user credentials, or personal data. Automation tests can verify the security of the system by testing how it handles and protects such sensitive data.

[yethiconsulting]

Regression Testing

Automation-led solution spanning across technology platforms for catalyzing business transformation.

Regression testing is an integral part of the daily test cycle and is usually performed after verification of changes or adding new functionality. Our expert team at Yethi can help to reduce the technical hassles and time of reiterating the same tests over and again with tailor-made automation testing solution.

Our regression testing solution helps organizations in achieving greater business agility by providing automated regression suite coupled with industry specific repository to manage the rapid pace of technological advancement.

[avisys]

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[nitor-infotech]

Regression testing  

Regression testing is performed to ensure that recent code changes, such as bug fixes, enhancements, or new features, have not introduced new defects or negatively impacted existing functionality.

Here are some examples of regression testing scenarios: 

Bug Fix Verification: After fixing a bug, Regression testing is done to confirm that the issue is resolved and that no new issues have been introduced by the fix. 

Feature Enhancement: When a new feature or enhancement is added to an application, regression testing checks that the existing functionality still works as expected. 

Code Refactoring: After refactoring code to improve its structure or readability, regression testing helps ensure that the functionality remains unchanged. 

Software Updates: When external libraries, frameworks, or components are updated, regression testing ensures that the application remains compatible and functions correctly with the new versions. 

Configuration Changes: Modifying configuration settings, such as database connection parameters or API endpoints, may require regression testing to ensure that the software still operates with the updated configurations. 

Security Patching: After applying security patches or updates to address vulnerabilities, regression testing verifies that the patched software remains secure and that no new security issues have been introduced. 

Integration with Third-Party Systems: When integrating an application with third-party systems or services, regression testing ensures that data exchange and communication remain intact. 

Mobile App Updates: Mobile app regression testing is essential when releasing updates on app stores. It checks that the app functions correctly on various device models, operating system versions, and screen sizes. 

Compatibility Testing: Ensuring compatibility with different web browsers (e.g., Chrome, Firefox, Safari) or operating systems (e.g., Windows, macOS, Android, iOS) requires ongoing regression testing. 

API Updates: When APIs change, either due to version updates or modifications in response structures, regression testing ensures that client applications still receive the expected data and functionality. 

Read our blog to understand the working of Regression testing.  

[briskwinits]

Ensure a defect-free software application, irrespective of frequent changes, by using our regression testing services.

For more, visit: https://briskwinit.com/regression-testing/

[woodjessica123-blog]

Regression Testing Types and Techniques

It is a testing method wherein new bugs are uncovered in the existing functionalities of the software product or application. The previously completed tests are re-run and then the results are compared with the expected outcomes.

[kairostechnologies]

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Find the article below and embark on an eye-opening exploration of the fascinating world of AI in software testing.

[frentmeister]

Heuristiken zur Erkennung von "einmaligen" Tests?

Bei der Entscheidung, ob ich einer Regressionssuite etwas hinzufüge oder nicht, würde ich eine Reihe von Aspekten berücksichtigen. Vieles von dem, was ich in Betracht ziehen würde, wäre allerdings sehr produktspezifisch; zu verstehen, wie die Kunden das Produkt verwenden, wie das Upgrade-Verhalten aussieht und so weiter, wäre hier notwendig. - Wie hoch ist das Risiko, dass der Fehler, den der Test aufdecken soll, übersehen wird? Je nachdem, auf welcher Ebene der Test stattfindet (Einheitstest, Integrationstest, Validierungstest usw.), kann dies schwer abzuschätzen sein, aber je näher ihr an dem seid, was der Endbenutzer sehen wird, desto einfacher ist es wahrscheinlich, das Risiko einzuschätzen. - Wo in der Programmhierarchie befindet sich die Codeänderung, die getestet werden soll? Bei miserablem Spaghetti-Code ist das vielleicht schwer zu erkennen, aber je mehr Dinge von einer Funktion abhängen, desto weniger Dinge müsst ihr (wahrscheinlich) im Zusammenhang mit dieser Funktion testen, da ihr Ausfall eine Reihe anderer Komponenten des Betriebssystems zerstören könnte. - Wie viele Dinge müssen schiefgehen, damit der Fehler aufgedeckt wird? Hier würde ich dazu tendieren, Dinge, bei denen mehr Dinge schiefgehen können, in der Regressionssuite zu belassen, als Dinge, die sich leichter aufdecken lassen, weil es wahrscheinlicher ist, dass man die einfachen Fehler in unverbundenen Tests findet, als die komplizierteren Fehler. (Dies setzt voraus, dass ihr Tester habt, denen Fehler auffallen, die nicht in der Dokumentation des Testszenarios enthalten sind). - Wie lange ist der fragliche Fehler schon im Code, und wodurch wurde er aufgedeckt? Dies ist schwer zu quantifizieren, ohne mehr darüber zu wissen, was getestet wird, aber wenn ihr etwas habt, das speziell durch einen Sonderfall aufgedeckt wurde, würde ich es nicht unbedingt zu einem Regressionssuit hinzufügen, aber ich würde es zu meiner Liste der "dummen Dinge, die Endbenutzer tun, die mir nie in den Sinn gekommen wären" hinzufügen, die ich in Zukunft beim Schreiben von Tests berücksichtigen sollte. - Wie subtil wäre ein Problem in einem bestimmten Bereich? Je subtiler das Problem ist, desto mehr Tests solltet ihr darum herum durchführen. - Wie oft wird eine Funktion in der Praxis vorkommen? In dem von Ihnen genannten Beispiel, der Datenbankaktualisierung, muss diese Funktion vielleicht nur einmal getestet werden, wenn ihr sicher sein könnt, dass jeder den neuen Code erhält, sobald er freigegeben wird, bevor ihr eine neue Version veröffentlichen. Wenn ihr jedoch jemanden habt, der in drei Jahren eine neue Version des Programms erhält und derzeit eine Version benutzt, die zwei Jahre veraltet ist, dann könnte es ein Problem sein, das Upgrade-Szenario nicht in Ihren Regressionssuit aufzunehmen. (Ich bin mir nicht sicher, wie ihr die Migrationstests jetzt durchführt, daher kann dies etwas sein, worüber ihr euch Gedanken machen müsst, oder auch nicht). Ich verstehe die Bedeutung von guten "Regressionstests", um sicherzustellen, dass behobene Fehler nicht erneut auftreten. Aber ich denke, es ist möglich, zu weit zu gehen und am Ende mit einer massiven "Regressionstest-Suite" für jeden behobenen Fehler, jede geänderte Funktion, sogar jede entfernte Funktion zu landen... ihr versteht, worauf ich hinaus will. Gibt es Heuristiken oder Techniken, um zu identifizieren, wann ein Test in die langfristige Regressionssuite gehört, im Gegensatz dazu, wann es besser wäre, einen "Einmal"- oder "Wegwerf"-Test zu schreiben, der für die nächste Version ausgeführt und dann verworfen wird? Idealerweise möchten wir dies zum Zeitpunkt der Erstellung der Tests identifizieren, aber auch Tipps zur Identifizierung dessen, was im Laufe der Zeit aussortiert werden kann, sind hilfreich. Die Hauptsorge besteht darin, den Zeitaufwand für jeden Release-Test zu minimieren. Wir haben eine große Legacy-Codebasis, die alte Technologien verwendet, die nicht sehr geeignet für automatisiertes Testen sind, was bedeutet, dass ein großer Teil unserer Regressionstests manuell durchgeführt wird. Wir möchten unsere manuelle Testbelastung für jeden Release nicht mit Tests erhöhen, die keinen langfristigen Wert bieten. Wir befinden uns auch in einer regulierten Umgebung, daher benötigen wir eine Möglichkeit, zu dokumentieren, was wir getestet haben, und ich denke, es ist sinnvoll, einen guten Test zu entwerfen, wenn ihr etwas ändert, anstatt nur ad hoc zu testen. Aber einige Dinge werden realistischerweise nicht zwei Jahre später plötzlich fehlschlagen, wenn wir jetzt zeigen, dass sie behoben sind. Einige Beispiele, bei denen mein "Bauchgefühl" sagt, dass sie nur für die erste Version nützlich sind: - Änderung der Form einer grafischen Steuerungsanzeige und Sicherstellen, dass alle Stellen, an denen eine solche Anzeige angezeigt wird, die neue Form verwenden (d.h., wir haben uns nicht wiederholt und den Code für die Anzeige dupliziert - dies ist ein Beispiel aus unserer Legacy-Codebasis, in der wir häufig kopierten Code und andere Wiederholungen gefunden haben). - Für ein Softwareprodukt, das Hardware steuert, haben wir die Unterstützung für einige Add-On-Geräte entfernt, die von der Hardware unterstützt wurden und in einer Datenbank gespeichert sind. Wir haben getestet, dass ein Upgrade der Datenbank von der Version, die die Geräte unterstützt hat, zur Version, die sie nicht mehr unterstützt, angemessen funktioniert und dass die Geräte in der neuen Version nicht mehr vorhanden sind. - Behebung eines "offensichtlichen" Fehlers, bei dem ein Dialogfeld nicht ordnungsgemäß aufgeräumt wird, wenn abgebrochen wird, usw. Um die manuelle Regressionssuite davor zu bewahren, übermäßig groß zu werden: - Testwartung und -bereinigung: Überprüft regelmäßig die vorhandene Regressionssuite und identifiziert Tests, die nicht mehr relevant sind, redundant sind oder nur geringen Mehrwert bieten. Entfernen oder überarbeitet solche Tests, um Duplizierungen zu minimieren und den Fokus der Suite zu optimieren. - Testpriorisierung: Priorisiert die Tests basierend auf ihrer Bedeutung, der Abdeckung von Risiken und den Nutzungsmustern. Konzentrieren Sie sich auf kritische Funktionen, Bereiche mit hohem Risiko und häufig verwendete Funktionen. Durch die Priorisierung von Tests können begrenzte manuelle Testressourcen effektiv eingesetzt werden. - Risikobasiertes Testen: Wendet risikobasierte Testtechniken an, um Bereiche mit hohem Risiko zu identifizieren und die Testbemühungen entsprechend zu verteilen. Diese Vorgehensweise stellt sicher, dass die kritischsten und anfälligsten Teile des Systems angemessen berücksichtigt werden, während weniger kritische Bereiche einer leichteren Prüfung unterzogen werden. - Automatisierungsmöglichkeiten: Untersucht die Möglichkeiten zur Automatisierung bestimmter Aspekte des Regressionstests. Automatisierte Tests können den manuellen Testaufwand erheblich reduzieren und eine umfassendere Abdeckung ermöglichen, ohne dass dabei erheblicher Zeitaufwand entsteht. Konzentriert euch auf die Automatisierung von wiederholten oder zeitaufwändigen Tests. - Testgetriebene Entwicklung: Fördert einen testgetriebenen Entwicklungsansatz, bei dem Tests vor der Implementierung neuer Funktionen oder der Behebung von Fehlern geschrieben werden. Diese Praxis fördert die Erstellung gezielter, gut konzipierter Tests, die weniger dazu neigen, die Regressionssuite aufzublähen. Beachtet, dass es ein iterativer Prozess ist, die richtige Balance zwischen gründlichem Regressionstesten und effizientem manuellem Testen zu finden. Überprüft und passt die Regressionssuite regelmäßig anhand von Feedback, Testergebnissen und sich ändernden Prioritäten an. Read the full article

[zentopiahealing]