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Top 20 QA Testing Methodologies and Techniques in 2024
Last updated on April 8th, 2024 at 07:11 am
The field of software development is continuously changing and evolving; in the same breath, so are the quality assurance testing methodologies and techniques that guarantee the quality, performance, and reliability of software products. As we venture into the year 2024, it’s important to understand and explore the leading QA testing methodologies that are revolutionizing the field of software development and exemplifying excellence in software quality. Whether you plan to stick to the lifetime approaches or try out innovative ways of QA, below are the top 20 QA testing techniques and methodologies for 2024.
QA Testing Techniques and Methodologies
1. Agile Testing
One of the fundamental methodologies, agile testing would still be pervasive in 2024, reconstructing the process of software development through a more iterative approach while fostering cooperation and feedback. Hence, QA teams interact with developers and stakeholders to provide high-quality software in an expeditious cycle of regularity.
2. DevOps Testing
DevOps testing is a straightforwardly rare kind of quality assurance. It combines the usual processes with the DevOps pipeline, emphasizing automation, continuous integration, and swift response times. The outcome is quick, more reliable software released with the least friction between development and operations.
3. Shift-Left Testing
Shift-left testing focuses testing on the early stages of the development lifecycle, including the requirement stage. This means that the QA team can identify and resolve defects during the development process, which would cost more time and money if put off until later.
4. Shift-Right Testing
Shift-right testing Shift-right testing entails testing the product in production environments to collect real-time feedback from end-users. QA teams are then equipped to detect any issue with the performance, usability, and user experience in the live setting.
5. Exploratory Testing
Scanario-based testing fosters testers to use their expertise and portrayal of a user to develop different test utilization situations, in which they identify plausible user needs. Since this is entirely set on testers’ experiences and perspectives, the potential limitations are that the tester may not be skilled in the field, project, or product. 2 Therefore, user interface heuristic testing allows exploratory testing by being open-minded and flowing freely while noting details, assertions, and inquiries.
6. Risk-Based Testing
Risk-based testing involves the prioritization of testing efforts concerning the potential or possible risks to the software. By concentrating on the high-risk sections, the QA teams can distribute their resources more effectively and tackle the most critical concerns first.
7. Behavior-Driven Development (BDD)
Behavior-driven development develops based on the definition of a program’s behavior through mutually-oriented situations with a natural language composition. These situations utilize Gherkin syntax and they also operate as documents that can be used to test the given conditions.
8. Test-Driven Development (TDD)
By encouraging developers to write tests first before the code, test-driven development advocates ensure that the software meets the requirements and performs as expected. TDD fosters disciplined development and modular, testable code.
9. Continuous Testing
Continuous testing fast-tracks automated test suites to the CI/CD pipelines, resulting in faster feedback for code changes. This will enable the QA team to have confidence in the stability and reliability of their software launches by conducting automated tests at every level of the growth cycle.
10. Model-Based Testing
Model-based testing – with the help of this approach, abstract models of the software are created, and further, test cases are generated automatically. It allows for more test coverage as well as more intricate interactions between components of the software.
11. Crowd Testing
Crowd testing involves testing performed by a group of people of different nationalities who possess various devices, platforms, and environmental parameters. This approach provides metrics for real-world software usage.
12. Shift-Up Testing
Shift-up testing is the practice of testing more than only what has traditionally been considered as software. It includes the testing of business processes, user journeys, and end-to-end scenarios. It helps to ensure the software satisfies users’ and stakeholders’ needs and expectations.
13. Accessibility Testing
This is done to ascertain that software products are suitable for use by people with disabilities, such as vision, hearing, movement, and cognitive deficiency. QA teams determine and remove any barriers to access by measuring the software against the set standards and guidelines.
14. Security Testing
Security testing aims to find any vulnerabilities and weaknesses that an attacker could exploit. QA teams perform various tests, including penetration or pen tests, code reviews, and vulnerability scanning to test an application’s security posture.
15. Performance Testing
Performance testing measures how fast, responsive, and how well your software can scale in scenarios with varying levels of loads. Load testing, stress testing, and capacity planning are just a few techniques that QA teams employ to achieve performance requirements.
16. Usability Testing
Usability testing involves an evaluation of how easy it is to use the software product and its overall user experience. QA teams typically source feedback from real end-users by monitoring their progress, questioning the users, and surveying them to see where they found a need for improvement in the end-product.
17. Regression Testing
Regression testing is testing that the most recent code changes do not create new defects or disruptions of existing features. At the same time, the prioritization of regression testing is service-level testing, during which software features implemented in previous revisions and modifications are checked.
18. Compliance Testing
Compliance testing checks software companies’ compliance with industry standards, regulations, and legal frameworks. Audits and assessments are done by QA teams to verify that companies comply with GDPR, HIPAA, PCI-DSS, and other regulations.
19. AI-Powered Testing
AI and machine learning algorithms can automate and optimize almost all testing processes, starting with the creation of tests, execution, and ending with analyzing the results. With this technology, QA teams will faster and more efficiently identify patterns, predict defects, and, in general, fine-tune all testing efforts.
20. Hybrid Testing
Hybrid testing is achieved by integrating diverse testing methodologies and techniques into the desired method. QA teams design the testing at that early stage to ensure the nature of testing where it is applied and the restrictions or objectives of the project-focused approach.
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In conclusion,
The top 20 QA testing methodologies and techniques in 2024 reflect the diverse and evolving nature of software testing. From traditional approaches like Agile and DevOps to innovative techniques
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