[My personal, biased view of the] Software Engineering's Greatest Hits

Transcript

1. Software Engineering’s Greatest Hits Gustavo Pinto My personal, biased view of the @gustavopinto gpinto@ufpa.br gustavopinto.org
3. Scientific Software Development @gustavopinto
4. Scientific Software Development @gustavopinto
5. Scientific Software Development @gustavopinto
6. Research questions for • How do scientific software developers learn programming? • How do scientific software developers find bugs? fix bugs? • Do scientific software developers follow coding best practices? Scientific Software Development @gustavopinto
7. Preliminary results for They learn programming by themselves Scientific Software Development @gustavopinto
8. Preliminary results for Sci devs work mostly alone They learn programming by themselves Scientific Software Development @gustavopinto
9. Preliminary results for Sci devs work mostly alone They learn programming by themselves Scientific Software Development Undergrad students do not last much @gustavopinto
10. Diversity in Software Engineering @gustavopinto
11. Diversity in Software Engineering @gustavopinto
12. Diversity in Software Engineering @gustavopinto
13. Diversity in Software Engineering @gustavopinto She has more chance to have a PR accepted if she is not recognized as a woman
14. Diversity in Software Engineering @gustavopinto She has more chance to have a PR accepted if she is not recognized as a woman
15. Diversity in Software Engineering Research questions for • Are contributors from North Americans more likely to be accepted than contributions from Africans? • Do women or LGBTQ+ members receive less support from open source mentors? • Are students more likely to drop off in open source projects? @gustavopinto
16. Diversity in Software Engineering Preliminary results for Volunteers face 26x more rejections than employees Patches from employees are processed 5x fasters than volunteers @gustavopinto
17. Diversity in Software Engineering Preliminary results for Volunteers face 26x more rejections than employees Africans have little to no popular OSS projects Patches from employees are processed 5x fasters than volunteers @gustavopinto
18. Knowledge Transfer in Software Engineering @gustavopinto
19. Software Eng. Researchers Software Industry Knowledge Transfer in Software Engineering @gustavopinto
20. Software Eng. Researchers Software Industry Knowledge Transfer in Software Engineering @gustavopinto
21. Research questions for • How could we improve practitioners’ decision- making based on empirical evidence? • Hoe could we conduct research more aligned with practitioners needs’? • How could we convince practitioners to consume software engineering research? Knowledge Transfer in Software Engineering @gustavopinto
22. Knowledge Transfer in Software Engineering Preliminary results for Practitioners consider evidence briefing as reliable and easy to find information @gustavopinto
23. Knowledge Transfer in Software Engineering Preliminary results for Practitioners consider evidence briefing as reliable and easy to find information SLRs have low connection with SE practice search strings @gustavopinto
24. Knowledge Transfer in Software Engineering Preliminary results for Practitioners consider evidence briefing as reliable and easy to find information SLRs have low connection with SE practice search strings Rapid Reviews reduce time and effort, and are more focused on practitioners’ issues @gustavopinto
25. From Quasi to Casual Contributors K. Nakakoji, Y. Yamamoto, Y. Nishinaka, K. Kishida, and Y. Ye. Evolution patterns of open-source software systems and communities. In Proceedings of the International Workshop on Principles of Software Evolution, 2002, The “onion” patch @gustavopinto
26. From Quasi to Casual Contributors The “onion” patch Core developers @gustavopinto
27. From Quasi to Casual Contributors The “onion” patch Core developers Active developers @gustavopinto
28. From Quasi to Casual Contributors The “onion” patch Core developers Active developers Peripheral developers @gustavopinto
29. From Quasi to Casual Contributors Core developers Active developers Peripheral developers @gustavopinto
30. From Quasi to Casual Contributors Core developers Active developers Peripheral developers Casual developers @gustavopinto
31. From Quasi to Casual Contributors Core developers Active developers Peripheral developers Casual developers @gustavopinto
32. From Quasi to Casual Contributors Research questions for • How common are casual or quasi contributors? • How do maintainers perceive casual or quasi contributors? • Why casual contributors do not become more active? @gustavopinto
33. From Quasi to Casual Contributors Preliminary results for ±50% of the population of OSS contributors are casual contributors @gustavopinto
34. From Quasi to Casual Contributors Preliminary results for In some projects there are more quasi than actual contributors Quasi contributors have tried many, many times @gustavopinto ±50% of the population of OSS contributors are casual contributors
35. From Quasi to Casual Contributors Preliminary results for In some projects there are more quasi than actual contributors Quasi contributors have tried many, many times Rejections could lead to demotivation @gustavopinto ±50% of the population of OSS contributors are casual contributors
36. From Quasi to Casual Contributors Preliminary results for In some projects there are more quasi than actual contributors Quasi contributors have tried many, many times Rejections could lead to demotivation @gustavopinto ±50% of the population of OSS contributors are casual contributors
37. Thanks! @gustavopinto
39. From Proprietary to Open Source Software @gustavopinto
40. From Proprietary to Open Source Software @gustavopinto
41. From Proprietary to Open Source Software @gustavopinto https://opensource.microsoft.com/
42. From Proprietary to Open Source Software @gustavopinto https://opensource.microsoft.com/ https://news.ycombinator.com/
43. From Proprietary to Open Source Software Research questions for • What software companies need to do when open sourcing a proprietary software project? • How do software companies curate open source communities? • How to assess the success of the transition to open source? @gustavopinto
44. From Proprietary to Open Source Software Preliminary results for @gustavopinto Most of the proprietary software deleted the commit history
45. From Proprietary to Open Source Software Preliminary results for @gustavopinto Most of the proprietary software deleted the commit history Some of them maintain two commit histories
46. From Proprietary to Open Source Software Preliminary results for @gustavopinto Most of the proprietary software deleted the commit history Some of them maintain two commit histories Newcomers “wave”
47. From Proprietary to Open Source Software Preliminary results for @gustavopinto Most of the proprietary software deleted the commit history Some of them maintain two commit histories Newcomers “wave” ~500 new issues in two months
48. Thanks! @gustavopinto
49. Software Engineering’s Greatest Hits Gustavo Pinto My personal, biased view of the @gustavopinto gpinto@ufpa.br gustavopinto.org