Ontology-based knowledge management system model for R3ST software maintenance environment

Eko Kuswardono Budiardjo, Elviawaty M. Zamzami, Ganjar Ramadhan, Muh Nur Musa

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Research shows that approximately 40% to 60% of the maintenance effort, devoted to understand the modified software. One of the obstacles founded in software maintenance is the lack of contained knowledge in software. This research proposes a conceptual framework in software maintenance by utilizing knowledge management process and software comprehension using ontology as formal modeling analysis to expliciting the tacit knowledge in software. The topic of software comprehension is an important part for software engineer's effort. This framework is realized by means the Requirements Recovery and Reconstruction (R3) method based Software Tools (R3ST) environment. R3ST bind to domain ontology for increasing the contextual result. It is expected that R3ST would be able to facilitate software developers in software maintenance activities.

Original languageEnglish
Title of host publicationProceedings of 2016 5th International Conference on Network, Communication and Computing, ICNCC 2016
PublisherAssociation for Computing Machinery
Pages198-202
Number of pages5
ISBN (Electronic)9781450347938
DOIs
Publication statusPublished - 17 Dec 2016
Event5th International Conference on Network, Communication and Computing, ICNCC 2016 - Kyoto, Japan
Duration: 17 Dec 201621 Dec 2016

Publication series

NameACM International Conference Proceeding Series

Conference

Conference5th International Conference on Network, Communication and Computing, ICNCC 2016
CountryJapan
CityKyoto
Period17/12/1621/12/16

Keywords

  • Knowledge Management
  • Knowledge Representation
  • Ontology
  • Requirements Recovery
  • Software Comprehension
  • Software Maintenance

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