Analytics for software development

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Analytics for software development

  1. Analytics for Software Development Thomas Zimmermann Microsoft Research ICSM 2010, Timisoara http://thomas-zimmermann.com Twitter: @tomzimmermann © Microsoft Corporation
  2. Researcher (since 2008) Assistant Professor (2007-2008) Microsoft Research University PhD of Calgary Saarland University Mining Empirical University Software Software of Passau Repositories Engineering © Microsoft Corporation
  3. Mining Software Repositories Software Analytics Empirical Software Engineering © Microsoft Corporation
  4. Mining Software Repositories Software Development Analytics Empirical Software Engineering © Microsoft Corporation
  5. Analytics “Use of analysis, data, and systematic reasoning to make decisions” Financial services Retail Manufacturing Health care Energy And more… © Microsoft Corporation
  6. Analytics Past Present Future What What is What will Information happened? happening now? happen? (Reporting) (Alerts) (Extrapolation) What’s the How and why What’s the next best/worst that Insight did it happen? best action? can happen? (Modeling) (Recommendation) (Prediction) From Davenport et al. “Analytics at Work”. © Microsoft Corporation
  7. Web analytics © Microsoft Corporation
  8. Mining Software Repositories Software Development Analytics Empirical Software Engineering © Microsoft Corporation
  9. Understanding data is hard! The peak at A is correct! So Why is the peak at B? what? B Researcher A Developer © Microsoft Corporation
  10. Each project is different! Has to learn about Knows how to analysis to understand analyze data and act on results Researcher Makes assumptions Knows project about project very well Developer © Microsoft Corporation
  11. Software development analyst Knows enough about data analysis Knows enough about project to make the right assumptions © Microsoft Corporation
  12. Stakeholders have different needs Researcher Developer Tester Dev Lead Test Lead Manager © Microsoft Corporation
  13. Stakeholders have different needs Researcher Developer Tester Dev Lead Test Lead Manager © Microsoft Corporation
  14. A single tool is not enough Surveys Qualitative data Measurements Benchmarking © Microsoft Corporation
  15. Make data actionable and accessible © Microsoft Corporation
  16. #1: Data collection Data focused Integration Scenario focused © Microsoft Corporation
  17. #2: Data quality © Microsoft Corporation
  18. #3: Privacy © Microsoft Corporation
  19. #4: Understand user needs © Microsoft Corporation
  20. #4: Understand user needs Developers: well studied (ICSM: 26 papers) © Microsoft Corporation
  21. #4: Understand user needs Managers: not many studies (ICSM: 7 papers) Developers: well studied (ICSM: 26 papers) © Microsoft Corporation
  22. #4: Understand user needs Managers: not many studies (ICSM: 7 papers) Communication: not many studies (ICSM: 5 papers) Developers: well studied (ICSM: 26 papers) © Microsoft Corporation
  23. #5: User experience © Microsoft Corporation
  24. Make data actionable and accessible Data collection Data quality Privacy Education Understand user needs User experience http://msrconf.org © Microsoft Corporation

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