• DocumentCode
    2150499
  • Title

    Follow-the-Sun Methodology in a Stochastic Modeling Perspective

  • Author

    Czekster, Ricardo M. ; Fernandes, Paulo ; Prikladnicki, Rafael ; Sales, Afonso ; Santos, Alan R. ; Webber, Thais

  • Author_Institution
    Pontificia Univ. Catolica do Rio Grande do Sul, Porto Alegre, Brazil
  • fYear
    2011
  • fDate
    15-18 Aug. 2011
  • Firstpage
    54
  • Lastpage
    59
  • Abstract
    Stochastic modeling of globally distributed projects has become a way to evaluate the performance of teams working in different time zones. The interest in extracting and analyzing quantitative data from geographically dispersed teams has grown throughout the years as major development companies were attracted by potential benefits. We direct our attention to Follow-The-Sun (FTS), a special case of globally distributed projects, where work is handed off every day from one development site to the next on a different time zone. The main benefit of FTS is to reduce project duration providing continuous software development. Our objective in this paper is to discuss a formal mapping of FTS characteristics to a stochastic model in order to predict performance indices of teams such as availability and risk assessment. The modeling effort aims to enhance understanding and feasibility evaluation for FTS projects.
  • Keywords
    software development management; stochastic processes; FTS project; follow-the-sun methodology; formal mapping; globally distributed project; risk assessment; software development; stochastic modeling; Analytical models; Automata; Mathematical model; Numerical models; Programming; Stochastic processes; Storage area networks; Follow-the-Sun; Global Software Development; Performance Evaluation; Stochastic Modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Software Engineering Workshop (ICGSEW), 2011 Sixth IEEE International Conference on
  • Conference_Location
    Helsinki
  • Print_ISBN
    978-1-4577-1839-7
  • Electronic_ISBN
    978-0-7695-4558-5
  • Type

    conf

  • DOI
    10.1109/ICGSE-W.2011.26
  • Filename
    6065578