Developer Productivity Measurement: The Full List of 2024 Research Papers & Resources

This page enumerates the most-cited research data, concepts, and tactics to measure developer progress. Its purpose is to educate Engineering Managers, so they are empowered with data-backed knowledge. Armed with modern, relevant developer productivity research, Managers can build a workplace that fosters consistent, productive engineering.

  1. Original first-party research
  2. Competitive research
  3. Developer feature explainers
  4. Developer measurement analysis and comparison

See also the detailed technical documentation for all features and reports offered by GitClear.

Research: Instrumenting developer productivity to compare best metrics

No single metric can tell the full story of developer productivity. This section presents research exploring which metrics perform best in which situations, and how to combine them to get a more complete picture.

More than 1.2m lines of code are analyzed over 5 years time to assess the quantitative impact of AI Assistants on code quality.
More than 2,700 issues are analyzed to assess the relation between Story Points (dev effort) and Diff Delta.
15+ minute to read
Compare the amount of Diff Delta across projects & companies of varying composition.
15+ minute to read
More than 30 million lines of code are analyzed to show how LOC correlates with developer productivity.
Less than 5 minute read
Over 40,000 data points used to statistically compare Diff Delta™, Commit Count, Cycle Time, more
10-15 minute read
The wealth of readily available git stats is unprecedented. But, you get what you pay for
10-15 minute read
Diff Delta™ is GitClear's empirically-validated appraisal of how much durable change occurred per commit.
5-10 minute read

What are the best Developer Analytics tools to instrument productivity?

Different tools specialize on different elements of ensuring an effective engineering culture. This section presents research to compare the relative strengths of each tool.

Compare underlying sources used to calculate metrics, and how they differ.
15+ minute to read
Metrics you can share with developers, at a fraction of the cost.
5-10 minute read
How do the pricing and features compare among 2023's top-shelf Developer Analytics products?
Less than 5 minute read

Developer Features available on GitClear

Research the tools that GitClear provides to developers to better understand how their code is impacting the business.

A 3 minute video introduction to Diff Delta and Commit Groups
Less than 5 minute read
Understand GitClear's Diff Delta metric through pctures. Learn how Commit Groups layers on top to save PR review time.
10-15 minute read
Show off your work on your GitHub profile with a dynamic README. It's free and takes minutes to set up.
Less than 5 minute read
When progress isn't clear, it's easy to get dispirited. Commit Activity Browser means developer progress visceral
Less than 5 minute read
You don't have to spend hours researching tech debt. GitClear can point straight to the least flexible code
10-15 minute read

Developer measurement: Analysis, comparison and practical advice

GitClear is committed to providing the most comprehensive and up-to-date guides to state-of-the art tools & measurement.

The most comprehensive guide to measuring software developer coding activity in 2024
15+ minute to read
The old saying goes: 'If you can't measure it, you can't manage it.' But are you measuring the wrong thing?
15+ minute to read
Data as an ally to stimulate developer happiness, not a weapon to punish them.
5-10 minute read
For as long as there have been computer programmers, there have been stupid metrics used to measure them.
5-10 minute read

If you'd like to get a detailed list of all available GitClear reports & features, check out our product documentation.