• DocumentCode
    1834793
  • Title

    How Can Optimization Models Support the Maintenance of Component-Based Software?

  • Author

    Cortellessa, Vittorio ; Potena, Pasqualina

  • Author_Institution
    Dipt. di Inf., Univ. dell´´Aquila, L´´Aquila
  • fYear
    2009
  • fDate
    13-15 May 2009
  • Firstpage
    97
  • Lastpage
    100
  • Abstract
    The maintenance phase of software systems is ever more increasing its incidence, in terms of effort, to the whole software lifecycle. Therefore the introduction of automated techniques that can help software maintainers to take decision on the basis of quantitative evaluation would be a suitable phenomenon.Search-based techniques offer today a very promising view on the automation of searching processes in the software engineering domain. Component-based software is a very interesting paradigm to apply such type of techniques, for example for component selection. In this paper we introduce optimization techniques to manage the problem of failures at maintenance time. In particular,we introduce two approaches that provide maintenance actions to be taken in order to overcome system failures in case of monitored and non-monitored software systems.
  • Keywords
    object-oriented programming; optimisation; software maintenance; software reliability; system monitoring; system recovery; component-based software; optimization model; quantitative evaluation; searching process; software engineering domain; software lifecycle; software maintenance; software reliability; software system monitor; system failure; Automation; Condition monitoring; Cost function; Fault detection; Performance evaluation; Software engineering; Software maintenance; Software reliability; Software systems; Testing; Component-Based Software; Optimization model; Software Cost; Software Maintenance; Software Reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Search Based Software Engineering, 2009 1st International Symposium on
  • Conference_Location
    Windsor
  • Print_ISBN
    978-0-7695-3675-0
  • Type

    conf

  • DOI
    10.1109/SSBSE.2009.22
  • Filename
    5033187