Measuring software quality is important. As programmer Tom DeMarco proclaims in his book, “You cannot control what you cannot measure”. In this Diceus article, Oksana Hatsenko clarifies the purpose and benefits of software quality metrics and types of application.
Determining Software Quality with Metrics
The purpose of measuring software quality is to understand if the team is going in the right direction. People usually prioritize continually developing the product without setting aside a time to test the developed codes. You should always choose metrics that will provide valuable insights into the ongoing development. The benefits of software quality metrics are as below:
- They help managers to measure the value of the product.
- Developers often have issues with time estimation. They can utilize the software quality metrics to showcase the pain points.
- Top management and project managers understand the result of their decisions and rectify project course and decision-making process.
7 Types of Metrics for Application:
Agility: These software quality metrics help improve the development process. Lead time is the overall time taken by your team to ideate, build, and deliver the product. Cycle time is part of the lead time, from taking up the assignment to completing it. Team velocity measures the time taken by the team to complete items each sprint.
Productivity: These metrics measure the productivity of software teams. Active days measures the time a programmer takes to only develop a code. The scope of tasks calculates the annual code volume per programmer. The productivity metric tells how effective the codes are. Code churn describes the codes that a developer created, altered, or rejected. The time between failure and repair measures the time taken to identify mistakes and repair them. Apps crash rate displays the number of times your apps have crashed after launch.
Security Response Quality: A product with good software quality will respond to security issues faster. These metrics calculate the time taken to act upon such issues.
The Size Factor: Kilo lines of code (KLOC) metrics indicate the number of bugs, errors, and costs for every 1,000 lines of code.
Functionality: This type of software quality metrics calculates how useful the product is as per business functionality. They discuss user inputs, error reports, messages, user inputs, etc.
Quality Analysis: QA leads calculate primary metrics like test cases executed and test cases written to track the project progress. This further enhances the entire software development lifecycle (SDLC).
Customer Experience: Customer surveys help measure this type of software quality metrics. The answer options can range from very satisfied to very dissatisfied.
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