Interactions with Open Source Software: A Pilot Study on End Users’ Perception

  • A. M. Braccini
  • C. Silvestri
  • S. Za


Interest of scientific research on Open Source software and its development process is frequent. The number of articles available and the number of tracks or workshops on this topic in most relevant IS Conferences is high. The usability of Open Source Software has been scarcely considered until few years ago, probably due to the particular role that the user has in such a development environment. In Open Source software development, users and developers are not so different. Anyhow, the diffusion of the Open Source software outside the development community contributes to sharpen the distinction among these two groups that are no longer equivalent. This circumstance has contributed to increase the interest on usability of Open Source software. Nevertheless, studies on end-users in Open Source contexts are still young. This paper introduces a pilot study on end user’s perception of Open Source software. The aim of this pilot study is to identify how the end user perceives the Open Source software (in terms of Usability, Functionality, Reliability, Efficiency and Quality in Use).


Open Source Linear Regression Model Open Source Software Software Quality Open Source Project 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Darking, M.L, Whitley, E.A. (2007). Towards an Understanding of FLOSS: Infrasctructures, Materiality and the Digital Business Econosystem. Science Studies, 20(2): 13–33.Google Scholar
  2. 2.
    von Krogh, G., Spaeth, S. (2007). The Open Source Software Phenomenon: Characterstics that Promote Research. Journal of Strategic Information systems, 16(3): 236–253.CrossRefGoogle Scholar
  3. 3.
    Mockus, A., Fielding, R.T., Herbsleb, J.D. (2002). Two case Studies of Open Source Software Development: Apache and Mozilla. ACM Transactions on software engineering methodology, 11(3): 309–346.CrossRefGoogle Scholar
  4. 4.
    Stamelos, I., Angelis, L., Oikonomou, A., Bleris, G.L. (2002). Code quality analysis in Open Source software development. Info Systems Journal, 12(1): 43–60.CrossRefGoogle Scholar
  5. 5.
    Fuggetta, A. (2003). Open Source software – an evaluation. The Journal of Systems and Software, 66(1): 77–90.Google Scholar
  6. 6.
    Stone, A. (2002). Open Source Acceptance Grows. IEEE Software, 19(2): 102.CrossRefGoogle Scholar
  7. 7.
    Gallego, M.D., Luna, P., Bueno, S. (2007). User acceptance model of Open Source Software. Computers in Human Behaviour, 24(5): 2199–2216.CrossRefGoogle Scholar
  8. 8.
    Crowstone, K., Annabi, H., Howison, J. (2003). Defining Open Source Software Project Success. In Proceeding of the Twenty-fourth International Conference on Information Systems (pp. 327–340).Google Scholar
  9. 9.
    Nichols, D.M. and Twidale, M.B. (2006). Usability processes in open source projects. Software Process: Improvement and Practice, 11(2): 149–162.CrossRefGoogle Scholar
  10. 10.
    Benson, C. (2004). Meeting the challenge of open source usability. Interfaces: 9–12 Number 59, Autumn 2004.
  11. 11.
    Benson, C., Muller-Prove, M., Mzourek, J. (2004). Professional usability in open source projects: GNOME,, NetBeans. Extended Abstracts of the Conference on Human Factors and Computing Systems. ACM Press: New York, 1083–1084.Google Scholar
  12. 12.
    Nichols, D.M., Twidale M.B. (2005). The usability of open source software. First Monday 8(1):, 15 September 2005.
  13. 13.
    Nichols, D.M., McKay, D., Twidale, M.B. (2003). Participatory usability: supporting proactive users, Proceedings of 4th ACM SIGCHI NZ Symposium on Computer-Human Interaction (CHINZ’03), SIGCI: Dunedin, 63–68.Google Scholar
  14. 14.
    Raymond, E.S. (1999). The revenge of the hackers. In Open Sources: Voices from the Open Source Revolution, StoneM, Ockman S, DiBona C (eds). O’Reilly and Associates: Sebastopol, CA, 207–219.Google Scholar
  15. 15.
    Raymond, E.S. (2001) The Cathedral and the Bazaar: Musings on Linux and Open Source by an Accidental Revolutionary, O’Reilly.Google Scholar
  16. 16.
    Challet, D., Le Du, Y. (2003), Microscopic model of software bug dynamics: Closed Source versus Open Source, International Journal of Reliability, Quality and Safety Engineering, 12(6): 521–534.CrossRefGoogle Scholar
  17. 17.
    Chelf, B. (2006). Measuring software quality – A Study of Open Source Software.
  18. 18.
    Coverity Inc. (2008). Open Source Report.
  19. 19.
    DeLone, W.H., McLean, E.R (1992). Information systems success: the quest for the dependent variable. Information Systems Research, 3(1): 60–95.CrossRefGoogle Scholar
  20. 20.
    DeLone, W.H., McLean, E.R (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of Management Information Systems, 19(4): 9–30.Google Scholar
  21. 21.
    Sang-Yong, T.L., Hee-Woong, K., Sumeet, G. (2007). Measuring open source software success. Omega, 37(2): 426–438.Google Scholar
  22. 22.
    Hair, J.F., Anderson, R.E., Tatham, R.L., Black, W.C. (1998). Multivariate data analysis. Fifth ed. Englewood Cliffs, NJ: Prentice-Hall.Google Scholar

Copyright information

© Physica-Verlag Heidelberg 2009

Authors and Affiliations

  1. 1.Università LUISS Guido CarliRomaItaly
  2. 2.Università della TusciaViterboItaly
  3. 3.Università LUISS Guido CarliRomaItaly

Personalised recommendations