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Software Development KPIs


Different productivity apps track the following KPIs. KPIs improve workflow management, anticipate the rate of future development, and keep stakeholders informed about the state of software development projects. They lower development costs because you won't need additional management or edit rounds. They give you the knowledge you need to assess the performance and overall health of your company, allowing you to make the necessary corrections to your execution to meet your strategic objectives. You can get results more quickly by being aware of and measuring the appropriate KPIs.




1. Velocity:

  • Velocity refers to how much work your team can complete during a sprint. In agile development, a sprint is a set period where specific tasks are to be performed.

  • There are a variety of ways to measure velocity. The most popular measurement is story points which measure the amount of effort that goes into a software product.

  • Using velocity, you can estimate how realistic the team’s goals are.

2. Sprint Burndown:

  • Sprint burndown is a more narrow metric that measures how much work is completed during a sprint.

  • Sprint burndown is different from velocity which is an estimation based on multiple averages.

  • Using sprint burndown as a software metric helps teams adjust their performance when the measurement doesn’t hold to predictions.

3. Release Burndown:

  • Release burndown takes note of release progress. This metric is larger in scope than sprint burndown. And the metric is useful because it can guide teams in managing the release of a product.

  • Software development teams can utilize a release burndown chart to find out whether they’re behind, ahead, or exactly on schedule.

4. Cycle Time:

  • Cycle time is a software KPI that measures how much time is spent working on a certain task. Development teams use cycle time charts to gauge the efficiency of the software development process.

  • Measuring cycle time can bring many advantages. First, you have a metric that can objectively quantify your team’s performance.

  • The same metric will give you an estimation of how fast your team will complete future tasks.

5. Cumulative Flow:

  • Cumulative flow demonstrates what state your software tasks, or tickets, are in by employing a visual diagram.

  • Different colors on the diagram would represent different stages like ‘Approved’, ‘In Progress’, ‘Backlog’, and more. These colors are arranged in bands with the width of the band correlating to cycle time.

6. Flow Efficiency:

  • Flow efficiency measures the ratio between your active time and your total time.

  • Often work in progress doesn’t mean work in progress but time standing still. There may be waiting periods where developers cannot immediately move from one task or project to another.

  • You can calculate flow efficiency by dividing the time you actively spend working by your total cycle time.

7. Code Coverage:

  • Code coverage is a software KPI software development teams use to measure code quality.

  • This particular software metric is critical for software development life cycles that prioritize continuous delivery and test-driven development (TDD).

  • Also called test coverage, this metric determines how much of your source code executes when it is being tested.

8. Code Stability:

  • Code stability is difficult to measure. Stable code means that there are few changes to the software product that could potentially harm the software.

  • Some developers decide to chart the frequency of code changes. Others think of stability in terms of what percentage of deployed code results in downtime.

9. Code Simplicity:

  • Code simplicity is a more general software engineering KPI and there are multiple metrics you can use to measure it.

  • Cyclomatic complexity, for one, is a quantitative measure of the number of independent paths your code must take. Fewer paths are a good sign.

  • Generally, simpler code is easier to test and maintain.

10. Code Churn:

  • Code churn can be a measure of code stability as it refers to how often code changes over time.

  • If you need to rewrite code often to accommodate a new feature, then the software system involves high maintenance and is thus high risk.


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