Organizational congestion in large-scale software development

Karla Ballman, Lawrence G. Votta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

Many software projects seek to shorten the development interval - the time from project inception to final release. To do this effectively, we must understand the mechanisms which increase these intervals, especially in large-scale software production. A significant portion of an individual feature interval seems to consist of time lost while developers wait for meetings. We have created a simple model which relates the average waiting time to the number of meetings in developers' calendars. Generalizing from this model, we propose a change in the software inspection process. We hope this proposal will lead to further experiments building on the work reported in [2] and [8]. We present the motivations for our investigation, provide background information relevant to the general goals of our work, and briefly discuss related work. We then describe our model and the results of simulation runs. This is followed by a discussion of the implications with respect to large-scale software development. Finally, we offer our conclusions and suggest some solutions which we believe merit investigation.

Original languageEnglish (US)
Title of host publicationInternational Conference on the Software Process, Proceeding
Editors Anon
Place of PublicationLos Alamitos, CA, United States
PublisherIEEE
Pages123-134
Number of pages12
StatePublished - 1994
Externally publishedYes
EventProceedings of the 3rd International Conference on the Software Process - Reston, VA, USA
Duration: Oct 10 1994Oct 11 1994

Other

OtherProceedings of the 3rd International Conference on the Software Process
CityReston, VA, USA
Period10/10/9410/11/94

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Ballman, K., & Votta, L. G. (1994). Organizational congestion in large-scale software development. In Anon (Ed.), International Conference on the Software Process, Proceeding (pp. 123-134). IEEE.