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What’s the Best Way to Measure Developer Productivity?

Are you wondering how to measure developer productivity? Is it even possible? In today’s competitive business environment, stakeholders, executives, and project managers want to measure as much as possible. It is undoubtedly challenging to measure how productive a developer is with traditional metrics. However, there are other creative ways to measure a developer’s productivity. In this article at Reseller News, Issac Sacollck shares some practical ways to do that.

How to Measure

The traditional measurement system was based on code lines, features, or projects a developer would create. However, those metrics failed to consider the quality of work delivered or how well it met clients’ specifications. To improve upon this measure, organizations are now focusing more on developer productivity metrics.

Code Analysis and Quality

Code quality is a trickier metric to measure. Coding standards and practices should be in place before attempting to measure the quality of code. As a development manager or senior developer, you must decide on the common set of standards and practices. Additionally, document areas that do not adhere to the team’s coding standards.


When measuring bugs in software applications, consider:

  • The severity of the bug (high, medium, or low)
  • The number of bugs introduced in the application

Set a threshold in terms of the number of ‘acceptable’ bugs in the application.  Measure the number of bugs in each iteration. This will help you identify who introduced the bug and the defect into the application.

Application Performance

Developers must build applications with performance in mind. Measure how long a use case takes to execute on the front end for users. Furthermore, measure how timings stack up against service level agreements (SLAs).

“Ultimately, the team should first measure business outcomes and then qualify them with metrics that illustrate targeted behaviors. These KPIs are far more meaningful than focusing on a bunch of low-level metrics,” says Sacollck. To read the original article, click on

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