Metrics that Effectively Manage Development Projects

Software measurement is the foundation for sound software engineering. With relevant metrics, project managers can understand how productive and efficient a team is at various tasks. Additionally, they can also identify the bottlenecks at an early stage of project execution. Choosing the right metrics demands considerable thought and care to support the specific questions a business needs to answer. In this article at Built In, the author shares some crucial metrics that every engineering manager must track.

What to Measure?

Quality of Software

According to ISO/IEC 25010, modern software quality is described with eight main attributes—meeting requirements, maintainability, compatibility, security, usability, reliability, performance, and portability. As a project manager, track each of the attributes to get an accurate picture of software quality.

User Satisfaction

Measuring the targeted audience’s satisfaction is also of utmost importance. Measure the message clarity, function understandability, interface element clarity, and attractiveness of interactions.

Process Quality

You must understand the efficiency of the established development process before tracking costs, timelines, and performances. Remember, each software development model and framework will have different success indicators. For instance, traditional software development methods require you to measure the percentage of scope complete. At the same time, agile and lean methodology demands you to measure general lead time, team velocity, and cycle time.

Code Quality

You must measure the quality of code developers provide. Set KPIs that measure the technical part of the projects, such as code duplication, unnecessary dependencies, test coverage, defect density, and algorithmic complexity.

How to Use Metrics

Some metrics will not need complex calculations. A direct adaptation of measures will effectively work. For instance, identifying the input data required for the measurement and deciding where to take the input data does not require you to create a formula. Project management tools, source control management systems, application performance management tools are excellent data sources. Furthermore, you must:

  • Appoint a person for tracking the metrics.
  • Decide with whom the result must be shared.
  • Come up with the mitigation plan when metrics show unsatisfactory results.
  • Regularly adjust ‘not working’ metrics

Remember, it is impossible to come up with an ideal set of metrics in the first run. Instead, it evolves along the course of the project by trial and error.

To read the original article, click on

Related Articles

Back to top button

We use cookies on our website

We use cookies to give you the best user experience. Please confirm, if you accept our tracking cookies. You can also decline the tracking, so you can continue to visit our website without any data sent to third party services.