A Context-Driven Approach for Guiding Agile Adoption: The AMQuICk Framework

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

3893 Downloads (Pure)

Abstract

Regarding the proven benefits of agile software development, more and more practitioners are becoming interested in agile methods and have to deal with the complexity and costs of the adoption process. In this context, agile experts argue that prior to any agile method or practice adoption, its relevance to the organization and team should be evaluated to avoid unnecessary implementation efforts and resources. The goal of this research is to investigate a context-driven approach for guiding agile methods adoption: starting from the characterization of the context properties, the approach helps to identify relevant practices and to recommend process customization using adequate rules. The focus in this paper will be on the agile context characterization using relevant, reusable and measurable elements structured in a context metamodel. A purposely simple instantiation is proposed to illustrate how customization rules would be inferred from the context characterization.
Original languageEnglish
Title of host publicationICSEA 2015, The Tenth International Conference on Software Engineering Advances
EditorsRoy Oberhauser, Luigi Lavazza, Herwig Mannaert, Stephen Clyde
Place of PublicationBarcelona, Spain
Pages228 - 233
Number of pages6
Publication statusPublished - 15 Nov 2015
EventICSEA - Barcelona, Spain
Duration: 15 Nov 201520 Nov 2015

Scientific committee

Scientific committeeICSEA
CountrySpain
CityBarcelona
Period15/11/1520/11/15

    Fingerprint

Keywords

  • Agile software development
  • agile practice selection
  • agile context
  • software process customization

Cite this

Ayed, H., Vanderose, B., & Habra, N. (2015). A Context-Driven Approach for Guiding Agile Adoption: The AMQuICk Framework. In R. Oberhauser, L. Lavazza, H. Mannaert, & S. Clyde (Eds.), ICSEA 2015, The Tenth International Conference on Software Engineering Advances (pp. 228 - 233).