• DocumentCode
    1699378
  • Title

    An Application of Six Sigma with Lean Production Practices for Identifying Common Causes of Software Process Variability

  • Author

    Tonini, Antonio Carlos ; Laurindo, Fernando José Barbin ; de Mesquita Spínola, Mauro

  • Author_Institution
    Univ. of Sao Paulo, Sao Paulo
  • fYear
    2007
  • Firstpage
    2482
  • Lastpage
    2490
  • Abstract
    Six Sigma emphasizes the variability causes search. The special causes are more evident, which favors their identification, while the common causes are more difficult to be identified and solved and, for that, they request a specialists´ participation. Many software development process variability causes are common and it is not always possible to have Six Sigma specialists to identify them. An alternative might be the visibility criteria proposed by Lean Production. Instead of this criterion, software engineers are able to more easily notice the mistakes and their causes than Six Sigma specialists. This article verifies the advantages of using Lean Production practices, based on a Multiple Case Study on some software organizations that uses this methodology. The study shows that the projects were finished more quickly and they presented more effective results.
  • Keywords
    DP industry; lean production; six sigma (quality); software engineering; software houses; lean production practices; six sigma application; software development process variability; software engineers; software organizations; software process variability; Application software; Costs; Lean production; Process control; Production engineering; Programming; Quality management; Risk management; Six sigma; Statistical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management of Engineering and Technology, Portland International Center for
  • Conference_Location
    Portland, OR
  • Print_ISBN
    978-1-8908-4315-1
  • Electronic_ISBN
    978-1-8908-4315-1
  • Type

    conf

  • DOI
    10.1109/PICMET.2007.4349584
  • Filename
    4349584