Today, with each passing year, the technology industry is becoming more and more competitive. Organizations and companies all around the world struggle to remain afloat. Their motive is to adhere to the strategies that improve the quality of their products and services.
According to Quettra, the average app loses over 95% of new users after 90 days and the only reason behind such a massive downfall in the users is due to poor check on Quality. On the other hand, the information from a similar source declared that it is normal to lose 80 percent of clients, the brands that manage to pertain with quality goals show better retention results.
Here comes the role of quality assurance, the process which refers to the techniques and practices supposed to ensure the highest possible quality for an organization or service. In Software Testing, QA implies the procedure of identifying any sorts of bugs/errors/defects in software before disseminating or delivering it to the target audience. It let us know about the functionality/usability/reliability/ maintainability and efficiency of software. In simple words, QA encompasses activities to prevent the defects from being created in the first place.
Now, with knowing a little about QA, we are left with the term metrics. Quality Assurance metrics are the indicators that quantitatively help to evaluate the quality and efficiency of the software development and testing lifecycle.
Without these metrics, software quality cannot be measured, explained, or demonstrated in any meaningful way. Several metrics must be defined and monitored during the development process to determine how well a product performs.
Why Do We Need Quality Assurance (QA) Metrics?
- It’s always said, ”’You can’t improve what you can measure’ . So, QA Metrics are used to estimate the progress and outcome of test results.
- Through Quality Assurance Metrics, it’s easy to track the status of QA activities, measure team efficiency and optimize processes.
- QA processes become efficient with the help of QA Metrics. It also helps to make us understand the type of improvement required.
- QA Metrics allows us to decide for the next phase of activities, processes, or even the technology change.
- When we track QA Metrics, we tend to understand where the teamsquality strategy is succeeding and where it is falling short.
Know About The Types Of Quality Assurance (QA) Metrics
According to BrowserStackThe most effective way to track the efficacy of QA activities is to use the correct metrics.’ Therefore, it becomes necessary for testers to stick with all the essential QA metrics when need to enhance the output.
To begin, there are basically two types of metrics Absolute and Derivative. Both of these are capable of evaluating a test process or the quality of a product tested. Let’s have a look at various quality assurance metrics examples and how they can be gathered or computed.
Absolute Metrics
Absolute Metrics are completely based on data obtained during the software development and execution of test cases that are traced throughout the Software Testing Lifecycle (STLC). They are also called Base Metrics and measurements since they contain information that can be counted. These metrics indicate how well the testing process is progressing or how close it is to completion at a given point in time. Some of them include:
- Total number of test cases written/executed;
- Number of test cases passed/failed/blocked/pending;
- Defects found/accepted/rejected/deferred;
- Number of bugs detected after release
- Planned and actual test hours;
- Defects found during retesting/regression.
Derivative Metrics
These metrics are also called calculated metrics, as they are calculated by applying specific formulas to absolute metrics. The data which is found is further valuable for Team leads, test managers, and stakeholders. Here are some of the common derivative metrics used in Quality Assurance Testing
- Test Tracking: It includes the percentage of tests that pass, fail, or are blocked that can be used to assess the quantity of testing that has been completed or is still to be completed. These metrics ensure that all testing tasks are completed efficiently.
- Test Effort: With the help of these metrics, the team can estimate future projects. It provides a comparison between what was anticipated before the testing process began and the actual effort put up by the testing team.
- Test Effectiveness: This type of metric monitors and analyses a test set’s capacity to find and fix bugs and defects. Remember that the effectiveness cannot be 100% but still, always review the tests to aim for a higher value.
- Test Coverage: This metric shows how much of the application has been tested or how many requirements have been already checked. In layman language, it is a metric for determining whether testing activities have been completed, and further, it can be used as a criterion to conclude the testing.
- Test Economic Metrics: the way the cost of testing a website or app is made is influenced by several factors. This includes tools, resources, and the number of people participating. This metric includes the testing team comparing the projected cost of testing with the actual cost.
- Test Team Metrics: These metrics are helpful as it determines how much work each member of the team is assigned and also, whether they require any clarification. This metric acts as a catalyst in problem-solving as team members are encouraged to share the project information without blaming anyone.
- Test Execution: As the word, ”’execution’ itself suggests, this metric gives us an overview of how many tests have been run and are still pending.
- Defect Finding Rate Tracking: This metric represents the percentage of tests that fail compared to the total number of tests run.
The Quality Assurance Metrics An Organisation Should Adopt
QA Metrics can be so valuable for modern software organizations. However, not all of the metrics are equally valuable. Some are amazingly helpful and some are less. Let’s now discuss some of the metrics worth adopting by an organization.
- Mean Time to detect: The sooner you discover a problem, the sooner you will be able to fix that problem. This metric refers to the meantime taken by the organization to detect issues. It is quite relevant as when an issue is resolved earlier it ensures the reliability and functionality of the software.
- Mean Time to Repair: Just sounding like a sequel to the first-mentioned metrics i.e. MTTD, MTTR (Mean Time To Repair) refers to the meantime an organization takes to repair problems that cause system outages. What makes this so vital? When systems are down, everything goes in vain thereby this metric helps to ensure that everything runs smoothly!
- Test Reliability: It sometimes sounds like a subjective metric, but it is truly not. It refers to the number of test cases that aren’t providing useful feedback due to them being unreliable.
- Test Coverage: Often mistaken as code coverage metric, however, Test coverage is a much broader metric. It means your tests, (not only unit tests) but the tests of various types can cover the facets of your product.
- Escaped defects found: This metric refers to the number of defects found in production or you can say that these are the issues that have ”’escaped’ the QA strategy and slipped into the client’s hand.it let us know the room for improvements in any case.
Conclusion
As we have cited the immense value that Quality Assurance (QA) metrics play, we can’t overlook its importance. QA metrics are meant to enhance the software testing process tremendously. These metrics are critical in the software development and testing lifecycles since they help ensure the accuracy of the numerous tests run by your team. This way the organization also gets a guarantee of the quality of the product when aiming sustainability.
All in all, it’s pretty obvious that by adopting and implementing these QA metrics one can improve the efficiency and reliability of the testing activities. Also, consider an experienced quality assurance company that makes sure to implement these metrics to deliver exceptionally good results, adding to the user experience, sales, market response, and overall brand impression.
