• DocumentCode
    3445486
  • Title

    Experience with Variability Management in Requirement Specifications

  • Author

    Boutkova, E.

  • Author_Institution
    Group Res. & Adv. Eng., Daimler AG, Ulm, Germany
  • fYear
    2011
  • fDate
    22-26 Aug. 2011
  • Firstpage
    303
  • Lastpage
    312
  • Abstract
    The efficient reuse of requirements is a main challenge in industries that offer products with a high degree of reuse in their components, like the automotive industry. Here, an efficient and effective variability management (VM) that is highly integrated with the requirements specification process is an essential prerequisite for successful reuse of requirements. This paper presents experiences gained while introducing VM-based requirements reuse for natural language specifications at Daimler passenger car development. Here, out-of-the-box approaches were inappropriate due to poor scalability, inappropriate tool support, and the need to use decentralized variability models. As a consequence, we had to modify existing approaches to make them work in our environment. The paper briefly describes these modifications along with observations gained while implementing them in real-world specification processes.
  • Keywords
    formal specification; natural language processing; production engineering computing; Daimler passenger car development; VM based requirement; automotive industry; decentralized variability models; natural language specification; real world specification process; requirement specification; variability management; Complexity theory; Documentation; Materials; Natural languages; Sun; Unified modeling language; Vehicles; feature; feature modelling; requirement specification; variability management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Product Line Conference (SPLC), 2011 15th International
  • Conference_Location
    Munich
  • Print_ISBN
    978-1-4577-1029-2
  • Type

    conf

  • DOI
    10.1109/SPLC.2011.35
  • Filename
    6030073