1. 1 Understanding the Requirements for Developing and Designing Open Source Software Walt Scacchi Institute for Software Research and Laboratory for Computer Game Culture and Technology University of California, Irvine Irvine, CA 92697-3425 Wscacchi@ics.uci.edu http://www.ics.uci.edu/~wscacchi/Presentations/Workshop2003/OSS-Req-Design-Process

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6. 6 Overview Research methodology Open source processes for Requirements Software development informalisms Implications Conclusions

7. 7 Research methodology Prior empirical (case) studies of Open Source Software Development (OSSD) Projects –Mockus, Fielding, Herbsleb, 2000, 2002, Apache httpd server –Reis and Fortes, 2002, Mozilla Web browser –Schach et al., 2002; Holt et al., 2000, Linux Kernel –Koch and Schneider 2001; German 2002, GNOME User Interface –Jorgensen, 2001, FreeBSD operating system –Garg et al., 2002, OSSD (“progressive open source”) within HP

8. 8 Research methodology Individual case studies: significant details, but limited (and premature) generalization, little/no comparative analysis No studies that examine multiple OSSD projects in multiple domains –Such studies would offer higher degree of comparative analyses and generalization of results

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10. 10 Research methodology Comparative case studies –Multiple open software development projects Within and across multiple communities Qualitative (“grounded theory”) techniques Analyzing and modeling –development processes –work practices and roles –development artifacts and tools –community structures and process dynamics

11. 11 OSS processes for Requirements Post-hoc assertion of requirements+design after implementation Reading, sense-making, accountability Continually emerging webs of discourse Condensing and hardening discourse Global access to this discourse

12. 12 OSS processes for Requirements/Design OSS Requirements/Designs are –not explicit –not formal OSS Requirements/Designs are embedded within “informalisms” Example OSS informalisms follow

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19. 19 Traditional vs. OSS processes for Requirements Elicitation Analysis Specification and modeling Validation Communicating and managing Post-hoc assertion Reading, sense- making, accountability Continually emerging webs of discourse Condensing and hardening discourse Global access to discourse

20. 20 Software Informalisms Community communications –Threaded discussion forums –Email (list servers) –Newsgroups –IRChat/Instant messages –Community digests (“Kernel Cousins”)

21. 21 Software Informalisms Scenarios of Usage as linked Web pages

22. 22 Software Informalisms How-To guides, To-Do lists, FAQs Traditional software user documentation –Unix/Linux man pages External publications –trade articles –scholarly research papers –books (cf. O’Reilly Books)

23. 23 Software Informalisms Open Software Web Sites –Community Web sites –Community Software Web sites –Project Web sites –Source code Webs/Directories

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27. 27 Software Informalisms Software bug reports –Ad hoc report Web –Bugzilla (database tracking) Issue tracking –Issuezilla

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29. 29 Software Informalisms Software extension mechanisms –Inter-application scripting Csh, Perl, Python, Tcl, scripting Pipelines (cf. CXCDS) –Intra-application scripting (e.g., UnrealScript) –Plug-in architectures Apache server architecture

30. 30 Software Informalisms Free/OSS licenses – institutionalizing F/OSS culture (values, norms, and beliefs) –GNU Public License (GPL) –and 35 more (http://opensource.org) –“Creative Commons” Project at Stanford Law School developing public license framework

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32. 32 Implications Software informalisms are the media of software requirements/design Software informalisms are the subject of software requirements/design OSS requirements/design tasks are implied activities or capabilities (Re)reading, reviewing, and reinterpreting informalisms is a prerequisite to writing OSS.

33. 33 Implications Developing open software requirements is a community building process –not just a technical development process –OSS peer review creates a community of peers OSSD processes often iterate daily versus infrequent singular (milestone) SLC events –frequent, rapid cycle time (easier to improve) vs. infrequent, slow cycle time (hard to improve)

34. 34 Implications Determining the quality of OSS requirements/designs: –not targeted to consistency, completeness, correctness –instead focusing attention to community building, freedom of expression, ease of informalism navigation (traceability), implicit vs. explicit informalism structuring

35. 35 Conclusions Developing OSS requirements is different than requirements engineering –not better, not worse, but different and new –more social, more accessible, more convivial OSS systems don’t need and probably won’t benefit from classic software requirements engineering.

36. 36 Acknowledgements Project collaborators: –Mark Ackerman, UMichigan, Ann Arbor –Les Gasser, UIllinois, Urbana-Champaign –John Noll, Santa Clara University –Margaret Ellliot, Chris Jensen, UCI-ISR –Julia Watson, The Ohio State University Funding support: –National Science Foundation, ITR#0083075, ITR#0205679, ITR#0205724, and ITR#0350754.

37. 37 References W. Scacchi, Understanding the Requirements for Developing Open Source Software, IEE Proceedings--Software, 149(1), 24-39, 2002.Understanding the Requirements for Developing Open Source Software W. Scacchi, Open EC/B: A Case Study in Electronic Commerce and Open Source Software Development, Final Report, July 2002.Open EC/B: A Case Study in Electronic Commerce and Open Source Software Development W. Scacchi, Free/Open Source Software Development Practices in the Computer Game Community, IEEE Software, Special Issue on Open Source Software, January-February, 2004.Free/Open Source Software Development Practices in the Computer Game Community W. Scacchi, Understanding Free/Open Source Software Evolution: Applying, Breaking and Rethinking the Laws of Software Evolution, revised version to appear in N.H. Madhavji, M.M. Lehman, J.F. Ramil and D. Perry (eds.), Software Evolution, John Wiley and Sons Inc, New York, 2004.Understanding Free/Open Source Software Evolution: Applying, Breaking and Rethinking the Laws of Software Evolution