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Code as a Crime Scene: Diving into Code Forensics, Hotspot and Risk Analysis with Adam Tornhill

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Manage episode 243260546 series 1897294
Content provided by PurePerformance. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by PurePerformance 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://player.fm/legal.
Are you analyzing the dependency between change frequency, technical complexity, and growth and length of code change hotspots? You should as it helps you with tackling technical debt and risk assessment the right way!
In this podcast Adam Tornhill (@AdamTornhill) explains how he is applying data science and forensic approaches on data we all have in our organization such as: GIT commit history, ticket stats, static & dynamic code analysis, monitoring data … He is giving us insights in detecting code hotspots and how we can use leverage this data in areas such as risk assessment, the social side of code changes as well as explaining to business why working on technical debt is going to improve time to market.
Also make sure to check out CodeScene: A powerful visualization tool that uses Predictive Analytics to find social patterns and hidden risks in your code
Adam Tornhill on Twitter
https://twitter.com/AdamTornhill
Adam Tornhill's blog
https://www.adamtornhill.com/
CodeScene
https://www.empear.com
  continue reading

298 episodes

Artwork
iconShare
 
Manage episode 243260546 series 1897294
Content provided by PurePerformance. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by PurePerformance 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://player.fm/legal.
Are you analyzing the dependency between change frequency, technical complexity, and growth and length of code change hotspots? You should as it helps you with tackling technical debt and risk assessment the right way!
In this podcast Adam Tornhill (@AdamTornhill) explains how he is applying data science and forensic approaches on data we all have in our organization such as: GIT commit history, ticket stats, static & dynamic code analysis, monitoring data … He is giving us insights in detecting code hotspots and how we can use leverage this data in areas such as risk assessment, the social side of code changes as well as explaining to business why working on technical debt is going to improve time to market.
Also make sure to check out CodeScene: A powerful visualization tool that uses Predictive Analytics to find social patterns and hidden risks in your code
Adam Tornhill on Twitter
https://twitter.com/AdamTornhill
Adam Tornhill's blog
https://www.adamtornhill.com/
CodeScene
https://www.empear.com
  continue reading

298 episodes

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