1. Towards a Research Agenda forRecommendation Systems in Requirements Engineering Walid Maalej, TU München <maalejw@cs.tum.edu> AnilKumarThurimella, Harman Becker Automotive Systems

2. 2 Outline Motivation State of the Art Enablers Applications Next Steps 1 2 3 4 5 Towards a Research Agenda for RS in RE

6. Problems in coordination, knowledge sharing

9. Proactive assistancein collaboration, management and engineering work

10. Information push instead of Information pull

11. Nature of Software Engineering projects increases potentials of RS

12. Project data have a structured or semi-structured format

13. Both engineering activities and artifacts have well defined semanticsNeeds for Support

14. 5 Outline Motivation State of the Art Enablers Applications Next Steps 1 2 3 4 5 Towards a Research Agenda for RS in RE

15. Towards a Research Agenda for RS in RE 6 Research Reaped Several Tools* * Happel & Maalej: RSSE08, Potentials And Challenges of Recommendation Systems in Software Development

16. Towards a Research Agenda for RS in RE 7 Limitations of Current Approaches No support for requirements engineering work, no use of requirements as recommendation items 3 Information provision and experience capture not supported Limited pro-activeness, personalization and use of context 2 1 Inflexible, hard-coded knowledge representation and heuristics Centralized and inflexible architecture Limitation in functionality and technology To tape the potentials of RS in RE, a systematic account is required

17. 8 Outline Motivation State of the Art Enablers Applications Next Steps 1 2 3 4 5 Towards a Research Agenda for RS in RE

19. Documentation read

20. Documents changed

22. Environments

23. Search keywords

26. RS using inverse search:Matches the corpus of information providers against a given set of queries Identify information worth sharing Index 3. inSearch 1. Query Queries 4. Share 2. Results * Maalej & Happel: PAKM08, A Lightweight Approach forKnowledgeSharing in Distributed Software Teams

27. 11 Outline Motivation State of the Art Enablers Applications Next Steps 1 2 3 4 5 Towards a Research Agenda for RS in RE

28. Towards a Research Agenda for RS in RE 12 Recommendation Landscape For RE

29. Recommendation Landscape For RE Cont. Towards a Research Agenda for RS in RE 13

30. 14 Outline Motivation State of the Art Enablers Applications Next Steps 1 2 3 4 5 Towards a Research Agenda for RS in RE

33. Detection of problem situations

35. Content comparison

37. Towards a Research Agenda for RS in RE 17 Backups

38. Towards a Research Agenda for RS in RE 18 Challenges of Context Awareness Design How can we model abstract concepts to support unique scenarios? Long-Term Context Can we objectively model a subjective topic like experience? Sessionization How can we “package” context based on the time and content? Six major research challenges Aggregation How can we support different levels of abstractions with different factors? Context Representation Can we efficiently represent data and enable simple and semantic interpretation? Context Factors What should be observed, what is a part of the context?

39. Towards a Research Agenda for RS in RE 19 Open Source Platform: TeamWeaver www.teamweaver.org

40. Towards a Research Agenda for RS in RE 20 Four States of Private and Organizational Knowledge Space There is enough knowledge w.r.t. a certain topic, both locally and in the organization A user has lots of knowledge about a topic, while there is not much knowledge in the organization many Information overload Organizational Information gap few Documents in private space Personal information gap Information shortage few many Documents in organizational space While there is lots of knowledge in the organization, the user does not have much knowledge Few knowledge exists both locally and globally

42. Documentation used

43. Documents changed

45. Environments

46. Search keywords

47. Discussion threads