When we want to see how well our software projects are doing, there are several important metrics we can use. These metrics help us understand how good our coding is, how well we're managing projects, and how high quality our software is. Here are some key areas to look at:
Code Complexity: This looks at how complicated the code is. We aim to keep this number (called cyclomatic complexity) under 10 for easier maintenance. A study from 2019 showed that as the complexity goes up, the chances of bugs also go up by about 25%.
Code Churn: This shows how much of a developer's code has been recently changed. If more than 20% has changed, it might mean there are some problems. It's good to keep an eye on this during the project.
Static Code Analysis Results: This is when we use tools like SonarQube to check the code. They provide important numbers like how much technical debt we have and how easy the code is to maintain. If the maintainability score is under 60, the code can be really hard to change without causing new bugs.
Velocity: This is super important in Agile methods. It counts how much work a team finishes in a set period, called a sprint, often using story points. Most teams can finish 10-30 story points in a sprint, and low velocity might show problems with how strategies are being used.
Lines of Code (LOC): This tells us how many lines of code developers are writing. While it can be misleading, it gives us a basic idea of output. An experienced developer might write about 10-20 lines of good code each hour. Watching both LOC and how well coding rules are followed can show productivity trends.
Defect Density: This measures how many bugs there are based on the size of the software (often measured in thousand lines of code, or KLOC). In general, having less than 1.0 defects per KLOC is seen as acceptable in the industry.
Escaped Defects: These are bugs found after the software has been released. If a lot of defects are showing up post-launch, it might mean we need to rethink how we implement our strategies. A report from 2020 found that almost 40% of defects were escaped defects, suggesting that our testing may need improvement.
Customer Satisfaction Score (CSAT): This is gathered from surveys where users score their satisfaction from 1-5. If the score is below 4, there might be problems with the quality of the work done.
System Usability Scale (SUS): This is a set of questions that helps measure how user-friendly the software is, especially after it has been launched. A SUS score above 68 is usually considered average; anything below that means users might have significant issues.
By using these metrics to evaluate our strategies, software teams can better understand what works well and what needs some fixing. This leads to better quality software and a smoother development process.
When we want to see how well our software projects are doing, there are several important metrics we can use. These metrics help us understand how good our coding is, how well we're managing projects, and how high quality our software is. Here are some key areas to look at:
Code Complexity: This looks at how complicated the code is. We aim to keep this number (called cyclomatic complexity) under 10 for easier maintenance. A study from 2019 showed that as the complexity goes up, the chances of bugs also go up by about 25%.
Code Churn: This shows how much of a developer's code has been recently changed. If more than 20% has changed, it might mean there are some problems. It's good to keep an eye on this during the project.
Static Code Analysis Results: This is when we use tools like SonarQube to check the code. They provide important numbers like how much technical debt we have and how easy the code is to maintain. If the maintainability score is under 60, the code can be really hard to change without causing new bugs.
Velocity: This is super important in Agile methods. It counts how much work a team finishes in a set period, called a sprint, often using story points. Most teams can finish 10-30 story points in a sprint, and low velocity might show problems with how strategies are being used.
Lines of Code (LOC): This tells us how many lines of code developers are writing. While it can be misleading, it gives us a basic idea of output. An experienced developer might write about 10-20 lines of good code each hour. Watching both LOC and how well coding rules are followed can show productivity trends.
Defect Density: This measures how many bugs there are based on the size of the software (often measured in thousand lines of code, or KLOC). In general, having less than 1.0 defects per KLOC is seen as acceptable in the industry.
Escaped Defects: These are bugs found after the software has been released. If a lot of defects are showing up post-launch, it might mean we need to rethink how we implement our strategies. A report from 2020 found that almost 40% of defects were escaped defects, suggesting that our testing may need improvement.
Customer Satisfaction Score (CSAT): This is gathered from surveys where users score their satisfaction from 1-5. If the score is below 4, there might be problems with the quality of the work done.
System Usability Scale (SUS): This is a set of questions that helps measure how user-friendly the software is, especially after it has been launched. A SUS score above 68 is usually considered average; anything below that means users might have significant issues.
By using these metrics to evaluate our strategies, software teams can better understand what works well and what needs some fixing. This leads to better quality software and a smoother development process.