Skip to main content

Exploring Knowledge Loss in Open Source Software (OSS) Projects

  • Conference paper
  • First Online:
Software Process Improvement and Capability Determination (SPICE 2017)

Abstract

Open Source Software is a term used to identify software developed and released under an “open source” license, meaning that under certain conditions; it is openly available for use, inspection, modification, and for redistribution free of cost (or with cost based on the license agreement). Incorporation of OSS while developing software can reduce time and cost of development. The nature of the work force (volunteers and paid) in OSS projects is transient and results in high turnover leading to knowledge loss. In this work, we explore the phenomenon of knowledge loss in OSS projects. Maintenance of OSS projects requires knowledge, typically shared asynchronously using technology-mediated channels. Knowledge sought in this manner is reactive in the sense that a developer will consult these channels looking for possible solutions or supporting information. We follow the backward snowballing to study the relevant literature on knowledge loss in OSS. Our work suggests that proactive knowledge exchange mechanisms may bring some benefits to OSS projects. Further integration of knowledge management practices with the established OSS practices can minimise knowledge loss.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    GNOME is a well-known large libre project sponsored by several companies. https://www.gnome.org/foundation/.

References

  1. Feller, J., Fitzgerald, B.: Understanding Open Source Software Development. Addison-Wesley, London (2002)

    Google Scholar 

  2. Crowston, K., Howison, J., Annabi, H.: Information systems success in free and open source software development: theory and measures. Softw. Process Improv. Pract. 11, 123–148 (2006)

    Article  Google Scholar 

  3. Subramaniam, C., Sen, R., Nelson, M.L.: Determinants of open source software project success: a longitudinal study. Decis. Support Syst. 46, 576–585 (2009)

    Article  Google Scholar 

  4. Crowston, K., Wei, K., Howison, J., Wiggins, A.: Free/libre open-source software development: what we know and what we do not know. ACM Comput. Surv. 44, 7 (2012)

    Article  Google Scholar 

  5. 78% of Companies Run On Open Source Yet Lack Formal Policies|Black Duck Software. Black Duck Software, N.p. Web, 8 June 2017

    Google Scholar 

  6. Michlmayr, M.: Quality Improvement in Volunteer Free and Open Source Software Projects: Exploring the Impact of Release Management. University of Cambridge (2007)

    Google Scholar 

  7. Capiluppi, A., Gonzalez-Barahona, J.M., Herraiz, I., Robles, G.: Adapting the “staged model for software evolution” to free/libre/open source software. In: Ninth International Workshop on Principles of Software Evolution: in Conjunction with the 6th ESEC/FSE Joint Meeting, pp. 79–82. ACM, Dubrovnik (2007)

    Google Scholar 

  8. Robles, G., Gonzalez-Barahona, J.M.: Contributor turnover in libre software projects. IFIP International Federation for Information Processing, vol. 203, pp. 273–286 (2006)

    Google Scholar 

  9. Davenport, T.H., Prusak, L.: Working Knowledge: How Organizations Manage What They Know. Harvard Business Press, Boston (1998)

    Google Scholar 

  10. Zack, M.H.: Managing codified knowledge. Sloan Manage. Rev. 40, 45–58 (1999)

    Google Scholar 

  11. Nonaka, I., Toyama, R., Konno, N.: SECI, Ba and leadership: a unified model of dynamic knowledge creation. Long Range Plan. 33, 5–34 (2000)

    Article  Google Scholar 

  12. De Long, D.W., Davenport, T.: Better practices for retaining organizational knowledge: lessons from the leading edge. Employ. Relat. Today 30, 51–63 (2003)

    Article  Google Scholar 

  13. Jennex, M.E., Durcikova, A.: Assessing knowledge loss risk. In: 2013 46th Hawaii International Conference on System Sciences (HICSS), pp. 3478–3487. IEEE (2013)

    Google Scholar 

  14. Viana, D., Conte, T., Marczak, S., Ferreira, R., Souza, C.D.: Knowledge creation and loss within a software organization: an exploratory case study. In: 2015 48th Hawaii International Conference on System Sciences (HICSS), pp. 3980–3989 (2015)

    Google Scholar 

  15. Donadelli, S.M.: The impact of knowledge loss on software projects: turnover, customer found defects, and dormant files. Software Engineering, p. 85. Concordia University (2015)

    Google Scholar 

  16. Rigby, P.C., Zhu, Y.C., Donadelli, S.M., Mockus, A.: Quantifying and mitigating turnover-induced knowledge loss: case studies of Chrome and a project at Avaya. In: Proceedings of the 2016 International Conference on Software Engineering (2016)

    Google Scholar 

  17. Izquierdo-Cortazar, D., Robles, G., Ortega, F., Gonzalez-Barahona, J.M.: Using software archaeology to measure knowledge loss in software projects due to developer turnover. In: 42nd Hawaii International Conference on System Sciences, pp. 1–10. IEEE (2009)

    Google Scholar 

  18. Robles, G., Gonzalez-Barahona, J.M., Michlmayr, M.: Evolution of volunteer participation in libre software projects: evidence from Debian. In: Proceedings of the 1st International Conference on Open Source Systems, pp. 100–107 (2005)

    Google Scholar 

  19. Dingsoyr, T., Bjornson, F.O., Shull, F.: What do we know about knowledge management? Practical implications for software engineering. IEEE Softw. 26, 100–103 (2009)

    Article  Google Scholar 

  20. Wohlin, C.: Guidelines for snowballing in systematic literature studies and a replication in software engineering. In: Proceedings of the 18th International Conference on Evaluation and Assessment in Software Engineering, p. 38. ACM (2014)

    Google Scholar 

  21. Foucault, M., Palyart, M., Blanc, X., Murphy, G.C., Falleri, J.-R.: Impact of developer turnover on quality in open-source software. In: Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering, pp. 829–841. ACM, Bergamo (2015)

    Google Scholar 

  22. von Krogh, G., Spaeth, S., Haefliger, S.: Knowledge reuse in open source software: an exploratory study of 15 open source projects. In: Proceedings of the 38th Annual Hawaii International Conference on System Sciences, p. 198b. IEEE (2005)

    Google Scholar 

  23. Herraiz, I., Robles, G., Amor, J.J., Romera, T., González Barahona, J.M.: The processes of joining in global distributed software projects. In: Proceedings of the 2006 International Workshop on Global Software Development for the Practitioner, pp. 27–33. ACM, Shanghai (2006)

    Google Scholar 

  24. Zhou, M., Mockus, A.: Developer fluency: achieving true mastery in software projects. In: Proceedings of the Eighteenth ACM SIGSOFT International Symposium on Foundations of Software Engineering, pp. 137–146. ACM, Santa Fe (2010)

    Google Scholar 

  25. Herbsleb, J.D., Mockus, A.: An empirical study of speed and communication in globally distributed software development. IEEE Trans. Soft. Eng. 29, 481–494 (2003)

    Article  Google Scholar 

  26. Liu, W., Chen, C.L., Lakshminarayanan, V., Perry, D.E.: A design for evidence - based soft research. SIGSOFT Softw. Eng. Notes 30, 1–7 (2005)

    Google Scholar 

  27. Otte, T., Moreton, R., Knoell, H.D.: Applied quality assurance methods under the open source development model. In: 32nd Annual IEEE International Computer Software and Applications, COMPSAC 2008, pp. 1247–1252 (2008)

    Google Scholar 

  28. Capiluppi, A., Michlmayr, M.: From the cathedral to the bazaar: an empirical study of the lifecycle of volunteer community projects. In: Feller, J., Fitzgerald, B., Scacchi, W., Sillitti, A. (eds.) OSS 2007. ITIFIP, vol. 234, pp. 31–44. Springer, Boston, MA (2007). doi:10.1007/978-0-387-72486-7_3

    Chapter  Google Scholar 

  29. Rigby, P.C., German, D.M., Cowen, L., Storey, M.-A.: Peer review on open-source software projects: parameters, statistical models, and theory. ACM Trans. Softw. Eng. Methodol. 23, 1–33 (2014)

    Article  Google Scholar 

  30. Crowston, K., Howison, J.: The social structure of free and open source software development. First Monday 10(2) (2005)

    Google Scholar 

  31. Lee, G.K., Cole, R.E.: From a firm-based to a community-based model of knowledge creation: the case of the Linux Kernel development. Organ. Sci. 14, 633–649 (2003)

    Article  Google Scholar 

  32. Crowston, K.: Lessons from volunteering and free/libre open source software development for the future of work. In: Chiasson, M., Henfridsson, O., Karsten, H., DeGross, J.I. (eds.) Researching the Future in Information Systems, pp. 215–229. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  33. Schilling, A., Laumer, S., Weitzel, T.: Is the source strong with you? A fit perspective to predict sustained participation of FLOSS developers. In: International Conference on Information Systems 2011, ICIS 2011, pp. 1620–1630 (2011)

    Google Scholar 

  34. Michlmayr, M., Robles, G., Gonzalez-Barahona, J.M.: Volunteers in large libre software projects: a quantitative analysis over time. In: Emerging Free and Open Source Software Practices, pp. 1–24 (2007)

    Google Scholar 

  35. Xu, B.: Volunteers’ Participative Behaviors in Open Source Software Development: The Role of Extrinsic Incentive, Intrinsic Motivation and Relational Social Capital. Texas Tech University (2006)

    Google Scholar 

  36. Fitzgerald, B.: The transformation of open source software. MIS Q. 30, 587–598 (2006)

    Google Scholar 

  37. Yunwen, Y., Yamamoto, Y., Kishida, K.: Dynamic community: a new conceptual framework for supporting knowledge collaboration in software development. In: 11th Asia-Pacific Software Engineering Conference, pp. 472–481 (2004)

    Google Scholar 

  38. Mockus, A., Fielding, R.T., Herbsleb, J.: A case study of open source software development: the Apache server. In: Proceedings of the 22nd International Conference on Software Engineering, pp. 263–272. ACM, Limerick (2000)

    Google Scholar 

  39. Assimakopoulos, D., Yan, J.: Sources of knowledge acquisition for Chinese software engineers. R&D Manage. 36, 97–106 (2006)

    Article  Google Scholar 

  40. Sowe, S.K., Stamelos, I., Angelis, L.: Understanding knowledge sharing activities in free/open source software projects: an empirical study. J. Syst. Softw. 81, 431–446 (2008)

    Article  Google Scholar 

  41. Ye, Y., Kishida, K.: Toward an understanding of the motivation open source software developers. In: Proceedings of the 25th International Conference on Software Engineering, pp. 419–429. IEEE Computer Society, Portland (2003)

    Google Scholar 

  42. Endres, M.L., Endres, S.P., Chowdhury, S.K., Alam, I.: Tacit knowledge sharing, self-efficacy theory, and application to the open source community. J. Knowl. Manage. 11, 92–103 (2007)

    Article  Google Scholar 

  43. Licorish, S.A., MacDonell, S.G.: Understanding the attitudes, knowledge sharing behaviors and task performance of core developers: A longitudinal study. Inf. Softw. Technol. 56, 1578–1596 (2014)

    Article  Google Scholar 

  44. Vasilescu, B., Serebrenik, A., Devanbu, P., Filkov, V.: How social Q&A sites are changing knowledge sharing in open source software communities. In: Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work & Social Computing, pp. 342–354. ACM, Baltimore (2014)

    Google Scholar 

  45. Steinmacher, I., Silva, M.A.G., Gerosa, M.A., Redmiles, D.F.: A systematic literature review on the barriers faced by newcomers to open source software projects. Inf. Softw. Technol. 59, 67–85 (2015)

    Article  Google Scholar 

  46. von Krogh, G., Spaeth, S., Lakhani, K.R.: Community, joining, and specialization in open source software innovation: a case study. Res. Policy 32, 1217–1241 (2003)

    Article  Google Scholar 

  47. Kukko, M., Helander, N.: Knowledge sharing barriers in growing software companies. In: 45th Hawaii International Conference on System Science, pp. 3756–3765 (2012)

    Google Scholar 

  48. Mitchell, S.M., Seaman, C.B.: Software process improvement through the identification and removal of project-level knowledge flow obstacles. In: Proceedings of the 34th International Conference on Software Engineering, pp. 1265–1268. IEEE (2012)

    Google Scholar 

  49. Lindvall, M., Rus, I.: Knowledge Management for Software Organizations. In: Aurum, A., Jeffery, R., Wohlin, C., Handzic, M. (eds.) Managing Software Engineering Knowledge, pp. 73–94. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  50. Doan, Q.M., Rosenthal-Sabroux, C., Grundstein, M.: A reference model for knowledge retention within small and medium-sized enterprises. In: KMIS, pp. 306–311 (2011)

    Google Scholar 

  51. Donnellan, B., Fitzgerald, B., Lake, B., Sturdy, J.: Implementing an open source knowledge base. IEEE Softw. 22, 92–95 (2005)

    Article  Google Scholar 

  52. Sharif, K.Y., English, M., Ali, N., Exton, C., Collins, J.J., Buckley, J.: An empirically-based characterization and quantification of information seeking through mailing lists during Open Source developers’ software evolution. Inf. Softw. Technol. 57, 77–94 (2015)

    Article  Google Scholar 

  53. Schilling, A., Laumer, S., Weitzel, T.: Who will remain? An evaluation of actual person-job and person-team fit to predict developer retention in FLOSS projects. In: 45th Hawaii International Conference on System Science, pp. 3446–3455 (2012)

    Google Scholar 

  54. Ayushi, R., Ashish, S.: What community contribution pattern says about stability of software project? In: 21st Asia-Pacific Software Engineering Conference, pp. 31–34 (2014)

    Google Scholar 

Download references

Acknowledgments

This work was supported, in part, by Science Foundation Ireland grant 13/RC/2094 to Lero, the Irish Software Research Centre (www.lero.ie).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mehvish Rashid .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Rashid, M., Clarke, P.M., O’Connor, R.V. (2017). Exploring Knowledge Loss in Open Source Software (OSS) Projects. In: Mas, A., Mesquida, A., O'Connor, R., Rout, T., Dorling, A. (eds) Software Process Improvement and Capability Determination. SPICE 2017. Communications in Computer and Information Science, vol 770. Springer, Cham. https://doi.org/10.1007/978-3-319-67383-7_35

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-67383-7_35

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67382-0

  • Online ISBN: 978-3-319-67383-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics