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Vision and reflection on Mining Software Repositories research in 2024

A
AyushiRastogi48

The document outlines the evolving landscape of research in mining software repositories (MSR), emphasizing the importance of creating data that addresses current and future challenges. It highlights the need for balance in approaches to software development and analysis, particularly considering human and societal factors. Additionally, it discusses the opportunities and limitations of data access in studying software engineering problems, advocating for the inclusion of diverse perspectives in research.

Science
Related topics:
Software Engineering
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Then, Now, and Next Constants in Changing MSR Research Landscape Ayushi Rastogi Assistant Professor, University of Groningen 1 Photo by Chris Lawton on Unsplash MSR’24 Vision and Reflection
Create data for problems of today and future. 2 Same purpose through different lens. Road ahead is about balance.
Create data for problems of today and future. 2 Same purpose through different lens. Road ahead is about balance.
Create data for problems of today and future. 2 Same purpose through different lens. Road ahead is about balance.
What shaped my experiences? 3
4
4
5 Ass. Prof, U Groningen Netherlands 2011 2014 2021 2018 2017 Postdoc, UC Irvine USA Postdoc, TU Delft Netherlands MSR Redmond intern USA Ph.D. , IIIT-Delhi India 2024
5 Empirical studies Improving developer productivity Ass. Prof, U Groningen Netherlands 2011 2014 2021 2018 2017 Postdoc, UC Irvine USA Postdoc, TU Delft Netherlands MSR Redmond intern USA Ph.D. , IIIT-Delhi India 2024
5 Empirical studies Improving developer productivity Software industry Human and social factors Ass. Prof, U Groningen Netherlands 2011 2014 2021 2018 2017 Postdoc, UC Irvine USA Postdoc, TU Delft Netherlands MSR Redmond intern USA Ph.D. , IIIT-Delhi India 2024
5 Empirical studies Improving developer productivity Software industry Human and social factors Societal relevance Fairness problems at work Ass. Prof, U Groningen Netherlands 2011 2014 2021 2018 2017 Postdoc, UC Irvine USA Postdoc, TU Delft Netherlands MSR Redmond intern USA Ph.D. , IIIT-Delhi India 2024
5 Empirical studies Improving developer productivity Software industry Human and social factors Societal relevance Fairness problems at work Software-defined SIG, ING Ass. Prof, U Groningen Netherlands 2011 2014 2021 2018 2017 Postdoc, UC Irvine USA Postdoc, TU Delft Netherlands MSR Redmond intern USA Ph.D. , IIIT-Delhi India 2024
5 Empirical studies Improving developer productivity Software industry Human and social factors Societal relevance Fairness problems at work Software-defined SIG, ING Meta, Google, Snap, Amazon SMEs Belsimpel, AFAS Ass. Prof, U Groningen Netherlands 2011 2014 2021 2018 2017 Postdoc, UC Irvine USA Postdoc, TU Delft Netherlands MSR Redmond intern USA Ph.D. , IIIT-Delhi India 2024
Community + Collaborators + Mentors 6
Mining + Software Repository 7
Data Purpose Approach 8
Data / Software Repositories 9
10 Data as signals and proxies for solving industry and societal problems.
10 Data as signals and proxies for solving industry and societal problems. measure developer productivity code review speed personality release cycle explainability disparity in code evaluation competing projects 2011 2014 2021 2018 2017 2024
11 Data continues to grow in size and forms 2011 2014 2021 2018 2017 2024
11 Data continues to grow in size and forms pre-GitHub era 2011 2014 2021 2018 2017 2024
11 Data continues to grow in size and forms pre-GitHub era 2011 2014 2021 2018 2017 2024
11 Data continues to grow in size and forms pre-GitHub era 2011 2014 2021 2018 2017 2024 GitHub/GHTorrent era
11 Data continues to grow in size and forms pre-GitHub era 2011 2014 2021 2018 2017 2024 Geographical location and code review decision GitHub/GHTorrent era Rastogi et. al Relationship between geographical location and evaluation of developer contribution. ESEM’18
11 Data continues to grow in size and forms pre-GitHub era 2011 2014 2021 2018 2017 2024 Geographical location and code review decision An unprecedented opportunity GitHub/GHTorrent era Rastogi et. al Relationship between geographical location and evaluation of developer contribution. ESEM’18
12 Looked at existing data Looked for data in unchartered spaces 2011 2014 2021 2018 2017 2024
12 Looked at existing data Looked for data in unchartered spaces 2011 2014 2021 2018 2017 2024 MSR Most Influential Paper awards
12 Looked at existing data Looked for data in unchartered spaces 2011 2014 2021 2018 2017 2024 MSR Most Influential Paper awards 2021
12 Looked at existing data Looked for data in unchartered spaces 2011 2014 2021 2018 2017 2024 MSR Most Influential Paper awards 2021 MSR’22 brainstorming
12 Looked at existing data Looked for data in unchartered spaces 2011 2014 2021 2018 2017 2024 MSR Most Influential Paper awards 2022 2021 MSR’22 brainstorming
12 Looked at existing data Looked for data in unchartered spaces Looked into problems for which data exists 2011 2014 2021 2018 2017 2024 MSR Most Influential Paper awards 2022 2021 MSR’22 brainstorming
Why we cannot study some problems? 13
14 Interesting data closed in industry vaults 2011 2014 2021 2018 2017 2024
14 Interesting data closed in industry vaults MSR Redmond Software-defined SIG, ING 2011 2014 2021 2018 2017 2024 Meta, Google, Snap, Amazon SMEs Belsimpel, AFAS
14 Interesting data closed in industry vaults Access to data determines what opportunity is available and to whom MSR Redmond Software-defined SIG, ING 2011 2014 2021 2018 2017 2024 Meta, Google, Snap, Amazon SMEs Belsimpel, AFAS
15 No data for some problems
15 No data for some problems 17 April, SEIP 18 April, SEIP
15 No data for some problems Niche problems get limited traction 17 April, SEIP 18 April, SEIP
What does the data enable? 16
17 Data: see the problem, propose and test solutions code review speed Inclusion on gender geography 2011 2014 2021 2018 2017 2024 Kudrjavets et. al. Waiting times Mining code review data to understand waiting times between acceptance and merging: An empirical analysis. MSR’22. Prana et. al. Including everyone, everywhere: Understanding opportunities and challenges of geographic gender-inclusion in OSS. TSE’21.
17 Data: see the problem, propose and test solutions Where do we apply the solution? code review speed Inclusion on gender geography 2011 2014 2021 2018 2017 2024 Kudrjavets et. al. Waiting times Mining code review data to understand waiting times between acceptance and merging: An empirical analysis. MSR’22. Prana et. al. Including everyone, everywhere: Understanding opportunities and challenges of geographic gender-inclusion in OSS. TSE’21.
Create data for problems of today and future. 18 What is our next GHTorrent? Know its limits. How to assess solutions that are difficult to apply in practice?
Mining / Purpose and Approach 19
Technology/Context 20
21 Changing software development 2011 2014 2021 2018 2017 2024
21 Changing software development 2011 2014 2021 2018 2017 2024 Agile Continuous Integration Co-Pilot
21 Changing software development New perspectives for known purposes 2011 2014 2021 2018 2017 2024 Agile Continuous Integration Co-Pilot
22 Changing analysis 2011 2014 2021 2018 2017 2024
22 Changing analysis 2011 2014 2021 2018 2017 2024 Logistic Regression Machine Learning Deep Learning Large Language Models
22 Changing analysis Repeating ourselves in different/better ways 2011 2014 2021 2018 2017 2024 Logistic Regression Machine Learning Deep Learning Large Language Models
Same purpose through different lens. 23 Change is an opportunity to gauge its impact.
24 for software, industry, society, environment 2011 2014 2021 2018 2017 2024
24 for software, industry, society, environment 2011 2014 2021 2018 2017 2024 Quality Productivity Fairness Energy
24 for software, industry, society, environment 2011 2014 2021 2018 2017 2024 Quality Productivity Fairness Energy
24 for software, industry, society, environment Move to intersectionality and balance 2011 2014 2021 2018 2017 2024 Quality Productivity Fairness Energy
Road ahead is about balance. 25
Road ahead is about balance. 25 Chen et. al. Leveraging test plan quality to improve code review efficacy. FSE’22 19 April, JF
Create data for problems of today and future. 26 Same purpose through different lens. Road ahead is about balance.
Create data for problems of today and future. 26 Same purpose through different lens. Road ahead is about balance.
Create data for problems of today and future. 26 Same purpose through different lens. Road ahead is about balance.
No dull moment for SE research amid technology shift in development and analysis. 27 E: a.rastogi@rug.nl X: @Ayushi_Rastogi Photo by Chris Lawton on Unsplash

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Vision and reflection on Mining Software Repositories research in 2024

  • 1. Then, Now, and Next Constants in Changing MSR Research Landscape Ayushi Rastogi Assistant Professor, University of Groningen 1 Photo by Chris Lawton on Unsplash MSR’24 Vision and Reflection
  • 2. Create data for problems of today and future. 2 Same purpose through different lens. Road ahead is about balance.
  • 3. Create data for problems of today and future. 2 Same purpose through different lens. Road ahead is about balance.
  • 4. Create data for problems of today and future. 2 Same purpose through different lens. Road ahead is about balance.
  • 5. What shaped my experiences? 3
  • 6. 4
  • 7. 4
  • 8. 5 Ass. Prof, U Groningen Netherlands 2011 2014 2021 2018 2017 Postdoc, UC Irvine USA Postdoc, TU Delft Netherlands MSR Redmond intern USA Ph.D. , IIIT-Delhi India 2024
  • 9. 5 Empirical studies Improving developer productivity Ass. Prof, U Groningen Netherlands 2011 2014 2021 2018 2017 Postdoc, UC Irvine USA Postdoc, TU Delft Netherlands MSR Redmond intern USA Ph.D. , IIIT-Delhi India 2024
  • 10. 5 Empirical studies Improving developer productivity Software industry Human and social factors Ass. Prof, U Groningen Netherlands 2011 2014 2021 2018 2017 Postdoc, UC Irvine USA Postdoc, TU Delft Netherlands MSR Redmond intern USA Ph.D. , IIIT-Delhi India 2024
  • 11. 5 Empirical studies Improving developer productivity Software industry Human and social factors Societal relevance Fairness problems at work Ass. Prof, U Groningen Netherlands 2011 2014 2021 2018 2017 Postdoc, UC Irvine USA Postdoc, TU Delft Netherlands MSR Redmond intern USA Ph.D. , IIIT-Delhi India 2024
  • 12. 5 Empirical studies Improving developer productivity Software industry Human and social factors Societal relevance Fairness problems at work Software-defined SIG, ING Ass. Prof, U Groningen Netherlands 2011 2014 2021 2018 2017 Postdoc, UC Irvine USA Postdoc, TU Delft Netherlands MSR Redmond intern USA Ph.D. , IIIT-Delhi India 2024
  • 13. 5 Empirical studies Improving developer productivity Software industry Human and social factors Societal relevance Fairness problems at work Software-defined SIG, ING Meta, Google, Snap, Amazon SMEs Belsimpel, AFAS Ass. Prof, U Groningen Netherlands 2011 2014 2021 2018 2017 Postdoc, UC Irvine USA Postdoc, TU Delft Netherlands MSR Redmond intern USA Ph.D. , IIIT-Delhi India 2024
  • 15. Mining + Software Repository 7
  • 17. Data / Software Repositories 9
  • 18. 10 Data as signals and proxies for solving industry and societal problems.
  • 19. 10 Data as signals and proxies for solving industry and societal problems. measure developer productivity code review speed personality release cycle explainability disparity in code evaluation competing projects 2011 2014 2021 2018 2017 2024
  • 20. 11 Data continues to grow in size and forms 2011 2014 2021 2018 2017 2024
  • 21. 11 Data continues to grow in size and forms pre-GitHub era 2011 2014 2021 2018 2017 2024
  • 22. 11 Data continues to grow in size and forms pre-GitHub era 2011 2014 2021 2018 2017 2024
  • 23. 11 Data continues to grow in size and forms pre-GitHub era 2011 2014 2021 2018 2017 2024 GitHub/GHTorrent era
  • 24. 11 Data continues to grow in size and forms pre-GitHub era 2011 2014 2021 2018 2017 2024 Geographical location and code review decision GitHub/GHTorrent era Rastogi et. al Relationship between geographical location and evaluation of developer contribution. ESEM’18
  • 25. 11 Data continues to grow in size and forms pre-GitHub era 2011 2014 2021 2018 2017 2024 Geographical location and code review decision An unprecedented opportunity GitHub/GHTorrent era Rastogi et. al Relationship between geographical location and evaluation of developer contribution. ESEM’18
  • 26. 12 Looked at existing data Looked for data in unchartered spaces 2011 2014 2021 2018 2017 2024
  • 27. 12 Looked at existing data Looked for data in unchartered spaces 2011 2014 2021 2018 2017 2024 MSR Most Influential Paper awards
  • 28. 12 Looked at existing data Looked for data in unchartered spaces 2011 2014 2021 2018 2017 2024 MSR Most Influential Paper awards 2021
  • 29. 12 Looked at existing data Looked for data in unchartered spaces 2011 2014 2021 2018 2017 2024 MSR Most Influential Paper awards 2021 MSR’22 brainstorming
  • 30. 12 Looked at existing data Looked for data in unchartered spaces 2011 2014 2021 2018 2017 2024 MSR Most Influential Paper awards 2022 2021 MSR’22 brainstorming
  • 31. 12 Looked at existing data Looked for data in unchartered spaces Looked into problems for which data exists 2011 2014 2021 2018 2017 2024 MSR Most Influential Paper awards 2022 2021 MSR’22 brainstorming
  • 32. Why we cannot study some problems? 13
  • 33. 14 Interesting data closed in industry vaults 2011 2014 2021 2018 2017 2024
  • 34. 14 Interesting data closed in industry vaults MSR Redmond Software-defined SIG, ING 2011 2014 2021 2018 2017 2024 Meta, Google, Snap, Amazon SMEs Belsimpel, AFAS
  • 35. 14 Interesting data closed in industry vaults Access to data determines what opportunity is available and to whom MSR Redmond Software-defined SIG, ING 2011 2014 2021 2018 2017 2024 Meta, Google, Snap, Amazon SMEs Belsimpel, AFAS
  • 36. 15 No data for some problems
  • 37. 15 No data for some problems 17 April, SEIP 18 April, SEIP
  • 38. 15 No data for some problems Niche problems get limited traction 17 April, SEIP 18 April, SEIP
  • 39. What does the data enable? 16
  • 40. 17 Data: see the problem, propose and test solutions code review speed Inclusion on gender geography 2011 2014 2021 2018 2017 2024 Kudrjavets et. al. Waiting times Mining code review data to understand waiting times between acceptance and merging: An empirical analysis. MSR’22. Prana et. al. Including everyone, everywhere: Understanding opportunities and challenges of geographic gender-inclusion in OSS. TSE’21.
  • 41. 17 Data: see the problem, propose and test solutions Where do we apply the solution? code review speed Inclusion on gender geography 2011 2014 2021 2018 2017 2024 Kudrjavets et. al. Waiting times Mining code review data to understand waiting times between acceptance and merging: An empirical analysis. MSR’22. Prana et. al. Including everyone, everywhere: Understanding opportunities and challenges of geographic gender-inclusion in OSS. TSE’21.
  • 42. Create data for problems of today and future. 18 What is our next GHTorrent? Know its limits. How to assess solutions that are difficult to apply in practice?
  • 43. Mining / Purpose and Approach 19
  • 45. 21 Changing software development 2011 2014 2021 2018 2017 2024
  • 46. 21 Changing software development 2011 2014 2021 2018 2017 2024 Agile Continuous Integration Co-Pilot
  • 47. 21 Changing software development New perspectives for known purposes 2011 2014 2021 2018 2017 2024 Agile Continuous Integration Co-Pilot
  • 48. 22 Changing analysis 2011 2014 2021 2018 2017 2024
  • 49. 22 Changing analysis 2011 2014 2021 2018 2017 2024 Logistic Regression Machine Learning Deep Learning Large Language Models
  • 50. 22 Changing analysis Repeating ourselves in different/better ways 2011 2014 2021 2018 2017 2024 Logistic Regression Machine Learning Deep Learning Large Language Models
  • 51. Same purpose through different lens. 23 Change is an opportunity to gauge its impact.
  • 52. 24 for software, industry, society, environment 2011 2014 2021 2018 2017 2024
  • 53. 24 for software, industry, society, environment 2011 2014 2021 2018 2017 2024 Quality Productivity Fairness Energy
  • 54. 24 for software, industry, society, environment 2011 2014 2021 2018 2017 2024 Quality Productivity Fairness Energy
  • 55. 24 for software, industry, society, environment Move to intersectionality and balance 2011 2014 2021 2018 2017 2024 Quality Productivity Fairness Energy
  • 56. Road ahead is about balance. 25
  • 57. Road ahead is about balance. 25 Chen et. al. Leveraging test plan quality to improve code review efficacy. FSE’22 19 April, JF
  • 58. Create data for problems of today and future. 26 Same purpose through different lens. Road ahead is about balance.
  • 59. Create data for problems of today and future. 26 Same purpose through different lens. Road ahead is about balance.
  • 60. Create data for problems of today and future. 26 Same purpose through different lens. Road ahead is about balance.
  • 61. No dull moment for SE research amid technology shift in development and analysis. 27 E: a.rastogi@rug.nl X: @Ayushi_Rastogi Photo by Chris Lawton on Unsplash