29 Nov 5 Key Indicators to Evaluate If Your Own Business’s QA Testing Strategy Is Effective
Software QA testing, without a doubt, is the backbone of the SDLC process. Besides reducing risks, a comprehensive and thorough approach to testing can help you identify problems which effectively reduces the time to fix, the time to market, and therefore, the overall cost. Before you ship your product to the market and into the hands of the users, it is critical that you step back and objectively evaluate the effectiveness of your QA testing strategy.
Which brings us to an important question – What really is an effective QA testing strategy?
For starters, an effective QA strategy is one that can be measured. The key, however, is identifying what to measure and what to ignore. Equally important, if not more so, is measuring the efficacy of the entire testing process. In this post, we look at 5 key indicators to evaluate if your own business’s QA testing strategy is effective.
1. Test Planning and Execution Productivity
These measures help you evaluate the effectiveness of your test planning and execution strategy. The test planning productivity parameter is the ratio of the number of test cases designed to the total effort for their design and documentation.
Similarly, the test execution productivity is simply the ratio of Number of Test Steps (Or test cases executed) to the Total Effort for Test Execution.
An effective QA testing strategy has high Test Planning and Execution Productivity values so as to ensure the planning and execution of a higher number of tests per tester per unit of time.
2. Defect Leakage
This metric measures the percentage of defects that were not identified during System Testing (ST) but were recognized in the production environment. In other words, this is a measure of defects found after the software is deployed.
3. Error Discovery rate
This is the ratio of the total number of defects found to the total number of test cases executed, and measures the number of defects identified per test case. The higher this number, the higher the coverage of the test case.
4. Defect Rejection Rate
This is the ratio of total defects rejected by the development team to the total defects identified by the testing team. This metric helps us understand how well the testing team understood requirements and how many rejected defects are due to a lack of understanding of the requirements. This parameter can also be measured using the bug acceptance rate. A lower defect rejection rate, and in turn, a higher bug acceptance rate shows that the testing requirements were clearly understood and integrated into the QA testing strategy.
5. Percentage of Automation
Generally speaking, the more automated tests there are in place – the more likely it is that you’ll identify critical defects introduced to your software while ensuring minimal human resource overheads and manual efforts. Ideally, you can focus on improving this parameter as the QA team evolves and matures. However, a target of 20% of test cases being automated is a good starting point. It is important to note here that an effective test strategy is one where not only are the tests automated but also the testing process itself. This process of automation improves the rate of execution of the test plan while reducing the time and effort spent on regression testing.
As part of the software development and testing processes, it is necessary to define deliverables and milestones such as a comprehensive testing plan, testing cases, and metrics for your product. We hope that this list of 5 Key Performance Indicators helps you decide what is important to monitor within your QA strategy.
It is interesting to note how a range of factors that can affect these parameters. For instance, effective project management and domain expertise can ensure that the test planning and execution efficiency are optimally achieved. In order to achieve higher error discovery rates and lower defect rejection rates, one cannot question the importance of trained and competent professionals who are not only technically proficient but also equipped with adequate domain knowledge and exposure to automate efficiently and handle unforeseen test scenarios.
To increases the efficacy and maturity of the QA process, it is important that your QA strategy should be well documented and structured, and uses frameworks and tools for tracking and managing defects, as well as for the creation and execution of test cases. Hiring an expert outsourced QA testing agency can be a strategically important business decision so that you can focus your energies on the core product while leaving the rest to the experts.
While considering an outsourced QA partner, you need to ensure that your partner has the understanding and the resources to implement an effective and comprehensive QA testing strategy for you that you can track and measure.
QAOnCloud’s services are tailored specifically to help businesses achieve goals faster while ensuring the fastest onboarding, guaranteed cost reduction, and improved product performance. Write to us to know more about our software testing services and how they can help you.