As the old saying goes: “Don’t judge a book by its cover”. Considering today’s reality, we can make it up-to-date by adding “but do judge by its quality”. Due to the amount of propositions, that trait has become one of the most valuable within many industries, including technology.
To develop a decent product, it’s vital to put in a lot of effort. If we want our software project to be successful, we ought to measure all the critical aspects from the beginning to the end. Those include the project’s cost, quality, effectiveness, and, of course, the processes.
Software quality assurance metrics allow the dev team to do all that within the testing procedure. It helps them to estimate the effectiveness of the testing process and improve it for better. This article will provide you with information about some of the essential QA metrics for successful software development.
Importance of QA Metrics for Testing Process
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Before all else, let’s find out what those QA metrics are and why we need them that much. Quality assurance metrics, more known as QA metrics, are specific measurements used by software developers to estimate and track the progress, quality, and efficiency of a testing process.
Unfortunately, the QA metric isn’t a magic wand that can make development flawless simply by being there. They are rather a useful tool that can allow you to look at the production process from a new and even better angle. Having all the information about the current state of the testing process at your fingertips will help understand different aspects of it. For instance, the duration and cost of testing, the amount of tested software, spotted and omitted defects, etc.
Therefore, you can detect not-so-obvious bugs, gaps or other issues, prevent them from appearing in the future, increase the productivity of the QA team and improve the final product to a certain level of quality. You would say it’s rather useful for a team lead to be aware of all the weak spots of the software engineering process so they can keep it in mind and plan further steps.
All the insights we achieve from such QA testing metrics can help improve a company’s testing procedure. And that will increase the efficiency of the company and ensure the quality of its completed products. For that reason, software QA metrics are vital for the testing process. They provide all the dependable data to understand the quality of our development strategy. Thus, we can check whether the project’s succeeding or failing to meet our expectations.
The Big Reveal: What Problems Can QA Testing Metrics Detect?
It’s not a secret that the sooner we discover a problem in an agile development project, the better for our project and nervous system. So far we are aware that quality assurance metrics help track QA team’s productivity. But what other information can we obtain during the testing stage that might put the project in danger?
The most common hazard that can lead to failure is the lack of adequate communication. The most common hazard that can lead to failure is the lack of adequate communication. QA metrics require defining and articulating all the testing goals. Thus, they are capable of averting such situations between both dev and QA teams.
Poor process planning
The most common hazard that can lead to failure is the lack of adequate communication. QA metrics are capable of averting such situations between both dev and QA teams. And that is because metrics require all the testing goals to be defined and articulated.
Under-the-wire changes in product requirements
Nobody’s safe from force majeure situations, especially in agile development projects. Even the tiniest shifts in a codebase require complete retesting to assure the product’s quality and operation. Here come QA measures that include such factors and help create a specific schedule, considering possible last-minute changes.
The Main Types of QA Metrics to Consider
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Different metrics are used for quality assurance measurement, making it harder to choose only the most important ones. Seriously, how do you know what metrics your organization needs? Well, we got you! Two main types of QA testing metrics will help you obtain information about estimated software quality: absolute QA metrics and derived QA metrics. Now, let’s get acquainted with both of them and work out why they are vital.
Absolute QA Metrics
These test effectiveness metrics are based on the various measurements gathered during the development and performance of the test. Absolute QA metrics are helpful to infer other derivative metrics. They are tracked throughout the whole software testing life cycle: whether it’s a specific phase of the testing process or the ending of it. They include:
- A total number of completed test cases
- A number of passed/failed/blocked test cases
- A number of identified/accepted/rejected/deferred defects
- A number of critical/high/medium/low defects
- A number of determined and actual test hours
- A number of defects found during retesting
Derived QA Metrics
To better understand the testing process, its effectiveness and the quality of under-test products, absolute QA metrics, unfortunately, aren’t enough. That’s where we use derived QA metrics. They are certain formulas, that will help to process the achieved information. The most commonly used are:
- Test effort metrics will provide all the information about the total number of tests designed, tests run, tests reviewed. They also will calculate the duration of the testing process and its efficiency. Thus, we can plan the future steps and receive the data that will be compared to the final test results. For instance, to get the number of tests in a specific period of time, you need to divide the number of tests run by the total time. That makes sense, right? And so on:
- Test effectiveness measures the quality and value of the test set. They calculate a percentage of the difference between the total number of defects found by a specific test and the total number of defects found for the project. Thus, the bigger percentage we get, the more effective our test is. The formula goes:
- Test coverage ensures that we are testing everything we need to, without missing anything important. This type of software quality assurance metric can show two things. How much of the product we have already tested and how many requirements we have already checked.
- Test economy are metrics that some would consider the most vital: it feels safer when you have both allocated and actual costs already calculated. The total cost of product testing depends on many resources, such as human resources, appliances, and infrastructure. Those QA performance metrics include: total allocated and amount of used cost for testing, budget variance (the difference between the allocated and used costs), schedule variance (the difference between the planned and actual time taken for testing) and average cost of bug fixing.
- Test team metrics will help you examine the amount of work assigned to each team member. In this way, you can look at inner processes and determine who needs help with tasks and who can help complete them. Hence, everyone involved in the testing procedure is aware of the current state of the process. Some key test team examples are: the amount of defects returned/opened bugs for retest/test cases allocated/test cases executed per team member.
- Defect distribution metrics can help to track and debug not all defects but the most pivotal ones. We can allocate them by different criteria, such as priority, severity, type of testing, tester type, functional area, the cause, tester accessibility, etc.
We really shouldn’t sit back and relax when it comes to software development quality metrics. Having quality assurance metrics as a part of the testing procedure will surely help us improve not only the testing alone: It also influences the software development lifecycle itself. QA testing metrics come in handy when we want to improve the performance, accuracy, quality, and effectiveness of our testing routine, which we desire to achieve all the time.
At Inoxoft we know like no other about the importance of a product’s quality and what role it plays in the company’s name and future development. Thus, our QA engineers are competent and skilled at managing test cases and designing test scripts, considering the final goal our clients would like to achieve. We won’t hesitate to report on defects, communicate problems in a dev team and find solutions to debug as soon as possible.
Consider Inoxoft to Improve Your Project’s QA Testing
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Inoxoft is an experienced software testing company that specializes in automation testing services for web/mobile applications, builds software for iOS/Android platforms and uses technologies such as .Net, React, Python, Node.js, and React Native. We are confident about delivering the best quality products to our clients’ projects and are completely committed to their success. Seeing people, who already worked with us, coming back, is a valuable and encouraging indicator of our delivery quality.
Don’t forget to add Inoxoft to your list of reliable outsource partners, who offer reasonable prices, always suggest optimizing costs spent on development, and create a product that meets all expectations and matches business needs.
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