• DocumentCode
    251807
  • Title

    Identifying risky areas of software code in Agile/Lean software development: An industrial experience report

  • Author

    Antinyan, Vard ; Staron, Miroslaw ; Meding, Wilhelm ; Osterstrom, Per ; Wikstrom, Erik ; Wranker, Johan ; Henriksson, Aron ; Hansson, Jorgen

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Chalmers Univ. of Gothenburg, Gothenburg, Sweden
  • fYear
    2014
  • fDate
    3-6 Feb. 2014
  • Firstpage
    154
  • Lastpage
    163
  • Abstract
    Modern software development relies on incremental delivery to facilitate quick response to customers´ requests. In this dynamic environment the continuous modifications of software code can cause risks for software developers; when developing a new feature increment, the added or modified code may contain fault-prone or difficult-to-maintain elements. The outcome of these risks can be defective software or decreased development velocity. This study presents a method to identify the risky areas and assess the risk when developing software code in Lean/Agile environment. We have conducted an action research project in two large companies, Ericsson AB and Volvo Group Truck Technology. During the study we have measured a set of code properties and investigated their influence on risk. The results show that the superposition of two metrics, complexity and revisions of a source code file, can effectively enable identification and assessment of the risk. We also illustrate how this kind of assessment can be successfully used by software developers to manage risks on a weekly basis as well as release-wise. A measurement system for systematic risk assessment has been introduced to two companies.
  • Keywords
    software prototyping; Ericsson AB; Volvo group truck technology; action research project; agile/lean software development; continuous modifications; customers requests; defective software; dynamic environment; fault prone; feature increment; industrial experience report; lean/agile environment; measurement system; software code; software developers; source code file; systematic risk assessment; Complexity theory; Correlation; Organizations; Software; Software measurement; Telecommunications; agile; correlation; metric risk; software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Maintenance, Reengineering and Reverse Engineering (CSMR-WCRE), 2014 Software Evolution Week - IEEE Conference on
  • Conference_Location
    Antwerp
  • Type

    conf

  • DOI
    10.1109/CSMR-WCRE.2014.6747165
  • Filename
    6747165