• DocumentCode
    1516408
  • Title

    Calculating return on investment of training using process variation

  • Author

    Matalonga, Santiago ; San Feliu, Tomas

  • Author_Institution
    Fac. de Ing., Univ. ORT Uruguay, Montevideo, Uruguay
  • Volume
    6
  • Issue
    2
  • fYear
    2012
  • fDate
    4/1/2012 12:00:00 AM
  • Firstpage
    140
  • Lastpage
    147
  • Abstract
    Organisations have relied on training to increase the performance of their workforce. Also, software process improvement models suggest that training is an effective tool for institutionalizing a development process. Training evaluation becomes important for understanding the improvements resulting from the investments in training. Like other production process, the software development process is subject to natural and special causes of variation, and process improvement models recommend its statistical management. Return on investment (ROI) has already been proposed as an effective measure to evaluate training interventions. Nevertheless, when applying ROI in production environments, practitioners have not taken into consideration the effects of variation in production processes. This study presents a method for calculating ROI that considers process variation; the authors argue that ROI results should be understood in accordance to statistical management guidance. The proposed method has been piloted at a software factory. The results of the case study are reported. These results show how to calculate ROI by taking into account the variation in a production process.
  • Keywords
    cost-benefit analysis; investment; software development management; statistical analysis; training; organisation training; process variation; production environment; return-on-investment; software development process; software factory; software process improvement model; statistical management; training evaluation; training investment;
  • fLanguage
    English
  • Journal_Title
    Software, IET
  • Publisher
    iet
  • ISSN
    1751-8806
  • Type

    jour

  • DOI
    10.1049/iet-sen.2011.0024
  • Filename
    6200024