• DocumentCode
    592582
  • Title

    Support for Statistic Process Control of software process

  • Author

    Goncalves, Luis ; Lima, Luiz ; Reis, R.Q. ; Nascimento, L. ; Ribeiro, Tiago

  • Author_Institution
    Programa de Pos-Grad. em Cienc. da Comput., Univ. Fed. do Para, Belem, Brazil
  • fYear
    2012
  • fDate
    1-5 Oct. 2012
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    The Statistical Process Control (SPC) has been adopted by software development organizations to improve process management and assessment. Without appropriate support tools and a process model to guide the organizations during to SPC, such practice is costly, considering the need to collect and analyze information from several process enactments. To aid in the SPC implementation, this paper proposes a standard process model and an approach for quantitative analysis of projects that was integrated to a Process-centered Software Engineering Environment.
  • Keywords
    software management; software process improvement; statistical process control; process assessment improvement; process management improvement; process-centered software engineering environment; quantitative analysis; software development organization; software process; statistic process control; Analytical models; Capability maturity model; Organizations; Process control; Software; Software measurement; Standards organizations; control chart; measurement; process performance; software process control (SPC); variatio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Informatica (CLEI), 2012 XXXVIII Conferencia Latinoamericana En
  • Conference_Location
    Medellin
  • Print_ISBN
    978-1-4673-0794-9
  • Type

    conf

  • DOI
    10.1109/CLEI.2012.6426915
  • Filename
    6426915