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255 - Ghost Engineers with Yegor Denisov-Blanch and Simon Obstbaum

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Manage episode 481488165 series 2543897
Content provided by Jason Swett. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jason Swett or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

In this episode I talk with Yegor Denisov-Blanch and Simon Obstbaum about their Stanford research on developer productivity. They share findings about "ghost engineers" (9.5% of developers who do minimal work), discuss challenges in measuring engineering output versus productivity, and explain their data-driven approach to software engineering assessment. The conversation explores how different developers contribute varying value, how life circumstances impact work motivation, and their methodology examining source code and Git metadata. The researchers highlight the importance of quantifying engineering contributions and have collected data from over 50,000 engineers in their ongoing study.

  continue reading

Chapters

1. Introduction and Newsletter Plug (00:00:00)

2. The Ghost Engineer Research (00:03:40)

3. Making Data-Driven Decisions (00:08:22)

4. Understanding Ghost Engineers (00:14:24)

5. Measuring Developer Productivity (00:24:07)

6. Code Analysis and Output Metrics (00:35:58)

7. Research Methodology and Scale (00:43:37)

8. Conclusion and Key Takeaways (00:52:31)

261 episodes

Artwork
iconShare
 
Manage episode 481488165 series 2543897
Content provided by Jason Swett. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jason Swett or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

In this episode I talk with Yegor Denisov-Blanch and Simon Obstbaum about their Stanford research on developer productivity. They share findings about "ghost engineers" (9.5% of developers who do minimal work), discuss challenges in measuring engineering output versus productivity, and explain their data-driven approach to software engineering assessment. The conversation explores how different developers contribute varying value, how life circumstances impact work motivation, and their methodology examining source code and Git metadata. The researchers highlight the importance of quantifying engineering contributions and have collected data from over 50,000 engineers in their ongoing study.

  continue reading

Chapters

1. Introduction and Newsletter Plug (00:00:00)

2. The Ghost Engineer Research (00:03:40)

3. Making Data-Driven Decisions (00:08:22)

4. Understanding Ghost Engineers (00:14:24)

5. Measuring Developer Productivity (00:24:07)

6. Code Analysis and Output Metrics (00:35:58)

7. Research Methodology and Scale (00:43:37)

8. Conclusion and Key Takeaways (00:52:31)

261 episodes

All episodes

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