• DocumentCode
    1959416
  • Title

    MIMOS, System Model-Driven Migration Project

  • Author

    Perez-Castillo, R. ; Garcia-Rodriguez de Guzman, I. ; Piattini, M.

  • Author_Institution
    Inst. de Tecnol. y Sist. de Informacion (ITSI), Univ. of Castilla-La Mancha, Ciudad Real, Spain
  • fYear
    2013
  • fDate
    5-8 March 2013
  • Firstpage
    445
  • Lastpage
    448
  • Abstract
    The volatile IT industry often tempts companies to replace legacy information systems with new ones. However, legacy systems cannot always be completely discarded because they gradually store a significant amount of valuable business knowledge as a result of progressive maintenance over time. Most migration techniques are proposed and applied in an ad hoc way. As a result, most migration techniques have a lack of automation and formalization, which makes it difficult to reuse such techniques to large, complex legacy information systems. This paper introduces MIMOS, a third-year project aimed at developing a methodological and technological modernization framework to facilitate the migration of legacy systems based on high-level design models. The work in progress during the first year mainly focused on the definition of a business process mining technique to retrieve the business knowledge embedded in source code so that it can be reused in the target system.
  • Keywords
    business data processing; data mining; software maintenance; MIMOS; business knowledge; business knowledge retrieval; business process mining technique; high-level design model; legacy information system; system model-driven migration project; volatile IT industry; Aging; Business; Computational modeling; Information systems; MIMO; Software maintenance; Migration; architecture-driven modernization; business process; legacy systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Maintenance and Reengineering (CSMR), 2013 17th European Conference on
  • Conference_Location
    Genova
  • ISSN
    1534-5351
  • Print_ISBN
    978-1-4673-5833-0
  • Type

    conf

  • DOI
    10.1109/CSMR.2013.68
  • Filename
    6498507