6 Steps To Improve The Software QA Process - Hashe Computer Solutions (Pvt) Ltd.

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QA process

When it comes to improving the QA process, good practice rolled out blindly can lead to difficulties. Therefore, before implementing any change, it is important to conduct a thorough audit of the QA process, carefully reviewing the factors that make up the existing software quality assurance process, assessing the potential limitations that may impede the implementation of the changes. May occur, as well as the risks, may be considered. Be motivated to develop strategies for change and mitigation. Also, make sure to make additional changes and permanently track the impact of a particular practice on QA status.

In this blog, we’ve summarized six best practices that can help us improve the QA process for our customers. You can adapt them to the software development lifecycle to solve your quality problems and make your QA process more efficient.

1. Involve the QA team in the Sprint/iteration plan

When it comes to improving product backlogs, quality insurance team members can be beneficial as they are generally good at understanding business needs from the perspective of end-users. At the same time, they are well aware of the technical dependencies of an application. Therefore, to eliminate unclear and inconsistent requirements and improve the end-user experience, you should include QA Process team members in the description and prioritization of backout items and make them available.

2. Identify possible regression as soon as possible

Regression testing can take up to 70% of the test effort. Therefore, improving regression management is a key step towards a shorter release cycle. We advise planning a possible regression at the beginning of a sprint. Identify the functionality of the software, which is likely to be influenced by each new need/user story in the spirited blog. Once you and your QA Process team have gained an understanding of software modules that can experience regression, make sure that the QA team prepares test design documents covering these modules and Updates them.

3. Identify the need for test automation

Test automation software can speed up the testing process and significantly improve the quality of software. However, if the effort spent on designing, developing, and supporting test automation scripts. They are related environments are less than the effort spent on implementing the manual test. The test automation measure will only pay off. Another prerequisite for test automation success is the careful selection of automation candidates. Although you can easily automate test cases that are executed repeatedly and do not change much with each repetition, there are many more that can be automated in complex or recurring test cases.

4. Develop test data management strategies

If you work on software that has a significant reliance on data, for example, BI application, we recommend that your QA Process team develop a test data management strategy as soon as possible.

To do this, formulate the data requirements for the QA team. Identify a better approach to data generation testing – based on the required data set volume, data format, and boundary values.

Cloning data from the production: This method is relatively simple to implement, but usually requires more time due to a large amount of data.

Sorting data from the production: This method costs less than the previous two, but requires skilled resources to ensure the integrity of the data.

5. Update test design documents regularly

So, at the start of each Sprint, ask your QA Process team to evaluate how the proposed changes to the system affected existing test design documents.

6. Take a shift-left approach to test

Move software testing activities closer to the start of Sprint. As it helps identify bugs when they require very little time and effort to fix. To realize the left approach, involve the development team in the quality assurance process Having them regularly review the code and check the unit. Then, let the testing team handle and perform manually. Also, the automated testing activities at the API and UI level of the application.

Conclusion

A mature process of quality assurance as per project requirements guarantees timely release and high-quality software. However, redesigning a QA process requires considerable QA skills, and it takes time and effort. We help you to improve the QA process and perform QA process audits and redesign.