• DocumentCode
    555291
  • Title

    Configuring global software teams: a multi-company analysis of project productivity, quality, and profits

  • Author

    Ramasubbu, Narayan ; Cataldo, Marcelo ; Balan, Rajesh Krishna ; Herbsleb, James D.

  • Author_Institution
    Singapore Manage. Univ., Singapore, Singapore
  • fYear
    2011
  • fDate
    21-28 May 2011
  • Firstpage
    261
  • Lastpage
    270
  • Abstract
    In this paper, we examined the impact of project-level configurational choices of globally distributed software teams on project productivity, quality, and profits. Our analysis used data from 362 projects of four different firms. These projects spanned a wide range of programming languages, application domain, process choices, and development sites spread over 15 countries and 5 continents. Our analysis revealed fundamental tradeoffs in choosing configurational choices that are optimized for productivity, quality, and/or profits. In particular, achieving higher levels of productivity and quality require diametrically opposed configurational choices. In addition, creating imbalances in the expertise and personnel distribution of project teams significantly helps increase profit margins. However, a profit-oriented imbalance could also significantly affect productivity and/or quality outcomes. Analyzing these complex tradeoffs, we provide actionable managerial insights that can help software firms and their clients choose configurations that achieve desired project outcomes in globally distributed software development.
  • Keywords
    DP management; distributed processing; programming languages; software engineering; application domain; development sites; global distributed software development; global distributed software teams; multicompany analysis; process choices; programming languages; project productivity; project profits; project quality; project-level configurational choices; Biological system modeling; Companies; Dispersion; Personnel; Productivity; Programming; Software; empirical analysis; globally distributed software development; quality management; software engineering economics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering (ICSE), 2011 33rd International Conference on
  • Conference_Location
    Honolulu, HI
  • ISSN
    0270-5257
  • Print_ISBN
    978-1-4503-0445-0
  • Electronic_ISBN
    0270-5257
  • Type

    conf

  • DOI
    10.1145/1985793.1985830
  • Filename
    6032465