• DocumentCode
    685536
  • Title

    Visualizations as a Basis for Agile Software Process Improvement

  • Author

    Lehtonen, Tapio ; Eloranta, Veli-Pekka ; Leppanen, Miika ; Isohanni, Essi

  • Author_Institution
    Solita plc., Tampere, Finland
  • Volume
    1
  • fYear
    2013
  • fDate
    2-5 Dec. 2013
  • Firstpage
    495
  • Lastpage
    502
  • Abstract
    Software projects have usually a lot of software engineering data available in different kinds of repositories. This data can be mined and used for software process improvement purposes. In general, agile methodologies emphasize reflection, making problems visible, and learning from the past. As the human mind is powerful in interpreting visual representations, visualizations could help in recognizing problems and areas of improvement in an agile software development process. In this paper an action research approach was taken to carry out software process improvement in an industry project. The research resulted in a visualization of the issue management system´s data. The visualizations were a tool to identify problems in the development process and to make them visible for all stakeholders. The results show that this kind of visual approach can be used successfully to point out problems in the process. The visualizations form a basis for communication on possible software process improvement.
  • Keywords
    data visualisation; software process improvement; software prototyping; action research approach; agile methodologies; agile software development process; agile software process improvement; data mining; software engineering data; software projects; visual approach; visualizations; Computer bugs; Data visualization; Measurement; Production; Software; Testing; Visualization; SPI; agile software development; visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering Conference (APSEC), 2013 20th Asia-Pacific
  • Conference_Location
    Bangkok
  • ISSN
    1530-1362
  • Print_ISBN
    978-1-4799-2143-0
  • Type

    conf

  • DOI
    10.1109/APSEC.2013.71
  • Filename
    6805442