8 Key KPIs for Measuring Software QA Success
Introduction
In software development, ensuring high-quality products is paramount for user satisfaction, business success, and long-term growth. In this article, we will attempt, from the standpoint of a specialist with practical experience in the field of manual testing, to uncover the topic of the importance not of the quality assurance process itself, but of the evaluation of this process directly.
Why do we need key performance indicators of the software quality assessment process?
Evaluation of the testing process is a sequential and systematically performed ongoing assessment of the testing process carried out with the aim of identifying the weaknesses of the testing process itself and its executors, organized on the project, for subsequent measures to improve and to ensure an acceptable level of quality corresponding to company standards and industry best practices. A side effect of the testing process is the identification of the positive aspects of the processes and the introduction of identified positive practices in other projects and the company as a whole.
Which indicators are the easiest to evaluate? Of course, numbers. Key indicators are an expression of certain aspects of the quality assurance process and its impact on the application development process expressed in numbers.
Conducting an evaluation allows us to obtain valuable information about how effectively the project's quality assurance process functions and to identify opportunities for optimization. Evaluation of testing processes is the ideal solution, allowing us to get an idea of how to precisely adjust the process to achieve maximum efficiency and testing success.
It should be noted that the value of information about key performance indicators increases when the process evaluation is carried out systematically and regularly. Thus, information is transformed into data and it can already be analyzed in more detail and not only get a snapshot of the process at the current moment, but also identify long-term trends and general dependencies.
Why is testing process evaluation necessary?
The need for process evaluation arises due to the constantly changing application during its life cycle and the growing demand for quality, efficiency, and compliance with requirements. By conducting a regular evaluation of the testing process, a company can solve the following questions:
Prevention and/or minimization of risks.
Timely evaluation allows for active monitoring of the process and its prompt correction, identifying the prerequisites for the occurrence of negative trends and taking measures to prevent the occurrence of negative consequences.
Increasing productivity
Process evaluation allows you to identify bottlenecks and areas of low efficiency, which allows you to optimize the testing process, reduce the number of errors in the developed/implemented application and increase the overall productivity of testing.
Improving the decision-making process.
Having a clear understanding of testing processes, a company can make data-driven decisions and more effectively allocate resources. Process evaluation is similar to creating a map that shows the best path to quality improvement. This helps make informed decisions by applying the best ways to achieve the goals set, depending on the chosen testing strategy.
Achieving customer satisfaction.
By refining processes, a company can ensure consistent alignment with customer expectations, leading to increased satisfaction and loyalty. Process evaluation ensures that what the company and its quality assurance team do makes customers happy.
What key testing process metrics exist?
Currently, from my point of view, there is no single, universally accepted classification of metrics for the testing process. This area of activity is very actively developing and is in a state of constant change and development. However, I would like to highlight 8 key metrics that, in my opinion, companies and quality assurance teams can apply in their activities.
Number of created tests.
This KPI measures the efficiency of test case design by tracking the number created within a set timeframe. It also assesses the quality of these test cases in terms of their alignment with requirements and their potential for reuse.
Requirement coverage.
This assessment is used to evaluate the number of tests created to control this or that requirement and in general to assess whether all requirements are covered by tests.
Passed tests.
To understand how well our tests are written, we look at how many errors they find. If tests find many errors, then they are well written. If tests miss many errors, then they need to be reviewed and changed.
Rejected defects.
This KPI shows how often defects found by testers are not confirmed by developers. A high indicator can lead to delays in development and a decrease in product quality.
Verified requirements.
This KPI tracks how well requirements are aligned with stakeholders. This helps prevent misunderstandings and minimize risks associated with the incorrect interpretation of requirements.
Executed test cases.
This indicator demonstrates testing activity on each build. A larger number of executed tests allows for faster detection and elimination of defects.
Test execution time.
This KPI helps to assess how much time it will take to test new functionality. This is important for planning product release dates.
Critical defects.
This indicator helps to assess the risk associated with critical errors in the application. It is important to minimize the number of such defects to avoid serious problems such as system failures or data leaks.
When is it not advisable to use KPIs in testing?
The use of KPIs in testing is not always justified. For example, at the initial stages of projects, for products with a short life cycle or with a limited budget, the collection and analysis of quality data may be ineffective.
If your product has just started being tested. If you are launching your product for the first time, and testing has just begun, there will not be much data to measure. At this time, it is important to establish a testing process, rather than measure its effectiveness.
If you do not plan a long testing cycle. If you are creating a product that will not change for a long time after launch, and testing will be a one-time process, measuring the effectiveness of the process will not be useful, since you will not have new testing cycles for improvement.
If you have a limited budget. Like any activity, measuring key performance indicators for testing requires time, effort, and, consequently, costs. Therefore, instead of measuring KPIs, the main focus with a limited testing budget should be on the application of a cost-effective testing process.
Conclusion
The evaluation of the testing process lies in achieving a deep understanding of how our testing activities contribute to the overall success of the project. By employing a data-driven approach and regularly analyzing our key performance indicators, we can continuously improve our testing processes, deliver higher quality software. Jet BI can help you implement smarter, data-driven testing strategies that drive better results.
