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Software Developers metrics and KPIs

What are Software Developers metrics?

Crafting the perfect Software Developers metrics can feel overwhelming, particularly when you're juggling daily responsibilities. That's why we've put together a collection of examples to spark your inspiration.

Copy these examples into your preferred app, or you can also use Tability to keep yourself accountable.

Find Software Developers metrics with AI

While we have some examples available, it's likely that you'll have specific scenarios that aren't covered here. You can use our free AI metrics generator below to generate your own strategies.

Examples of Software Developers metrics and KPIs

Metrics for Quality and Reliability

  • 1. Defect Density

    Measures the number of defects per unit size of the software, usually per thousand lines of code

    What good looks like for this metric: 1-10 defects per KLOC

    Ideas to improve this metric
    • Implement code reviews
    • Increase automated testing
    • Enhance developer training
    • Use static code analysis tools
    • Adopt Test-Driven Development (TDD)

  • 2. Mean Time to Failure (MTTF)

    Measures the average time between failures for a system or component during operation

    What good looks like for this metric: Varies widely by industry and system type, generally higher is better

    Ideas to improve this metric
    • Conduct regular maintenance routines
    • Implement rigorous testing cycles
    • Enhance monitoring and alerting systems
    • Utilise redundancy and failover mechanisms
    • Improve codebase documentation

  • 3. Customer-Reported Incidents

    Counts the number of issues or bugs reported by customers within a given period

    What good looks like for this metric: Varies depending on product and customer base, generally lower is better

    Ideas to improve this metric
    • Engage in proactive customer support
    • Release regular updates and patches
    • Conduct user feedback sessions
    • Improve user documentation
    • Monitor and analyse incident trends

  • 4. Code Coverage

    Indicates the percentage of the source code covered by automated tests

    What good looks like for this metric: 70-90% code coverage

    Ideas to improve this metric
    • Increase unit testing
    • Use automated testing tools
    • Adopt continuous integration practices
    • Refactor legacy code
    • Integrate end-to-end testing

  • 5. Release Frequency

    Measures how often new releases are deployed to production

    What good looks like for this metric: Depends on product and development cycle; frequently updated software is often more reliable

    Ideas to improve this metric
    • Adopt continuous delivery
    • Automate deployment processes
    • Improve release planning
    • Reduce deployment complexity
    • Engage in regular sprint retrospectives
defect-densitycode-coveragesoftware-developersquality-assurance-engineersdevelopment-teamsupport-team
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Tracking your Software Developers metrics

Having a plan is one thing, sticking to it is another.

Setting good strategies is only the first challenge. The hard part is to avoid distractions and make sure that you commit to the plan. A simple weekly ritual will greatly increase the chances of success.

A tool like Tability can also help you by combining AI and goal-setting to keep you on track.

Tability Insights DashboardTability's check-ins will save you hours and increase transparency

More metrics recently published

We have more examples to help you below.

Planning resources

OKRs are a great way to translate strategies into measurable goals. Here are a list of resources to help you adopt the OKR framework:

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