• DocumentCode
    2273239
  • Title

    Challenges in enterprise software integration: An industrial study using repertory grids

  • Author

    Rognerud, Heidi J. ; Hannay, Jo E.

  • Author_Institution
    Dept. of Software Eng., Simula Res. Lab., Lysaker, Norway
  • fYear
    2009
  • fDate
    15-16 Oct. 2009
  • Firstpage
    11
  • Lastpage
    22
  • Abstract
    To identify and systematize software practitioners´ perceptions of a problem is an important first step toward analyzing and searching for a solution to the problem. This paper reports on an industrial study, in which the repertory grid technique was used to elicit practitioners´ perceptions of key challenges in the company´s software integration practices. The perceptions of a total of nine practitioners from three organizational groups (developer, QA manager, project manager) were elicited and analyzed. We found that perceptions differ markedly between groups, but that on some issues, there is a consensus across all groups. Three types of challenges were identified as critical, causes, and easy to handle, namely responsibility, requirements, and knowledge. The elicited information may be used to plan process improvement for integration projects in the company, and may also be used in building a general ontology for integration challenges and their solutions.
  • Keywords
    formal specification; formal verification; integrated software; ontologies (artificial intelligence); project management; quality assurance; software process improvement; software quality; systems analysis; QA management; enterprise software integration; industrial study; ontology; project management; repertory grid; requirements analysis; software developement; software practitioner perception elicitation; software process improvement; Companies; Computer industry; Hardware; Informatics; Laboratories; Project management; Quality management; Software engineering; Software measurement; Software systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Empirical Software Engineering and Measurement, 2009. ESEM 2009. 3rd International Symposium on
  • Conference_Location
    Lake Buena Vista, FL
  • ISSN
    1938-6451
  • Print_ISBN
    978-1-4244-4842-5
  • Electronic_ISBN
    1938-6451
  • Type

    conf

  • DOI
    10.1109/ESEM.2009.5316045
  • Filename
    5316045