Mining analysis patterns by structure and word similarity

Yutaro Nomoto, Atsuto Kubo, Hironori Washizaki, Yoshiaki Fukazawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Analysis patterns encapsulating recurrent analysis processes and results are reused for software analysis. Due to high cost of extracting analysis patterns from existing assets, analysis patterns are sometimes unavailable even though there are a lot of requirements and models as assets. Thus we propose a technique for extracting analysis patterns from existing requirements and corresponding analysis models described in the form of UML class diagrams. Our technique analyzes a set of requirements and corresponding analysis models in terms of structure and word similarity, and specifies commonality. By using our technique, it is possible to extract analysis patterns without high cost.

Original languageEnglish
Title of host publicationAsianPLoP 2011 - 2nd Asian Conference on Pattern Languages of Programs, Proceedings
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450321099
DOIs
Publication statusPublished - 2011 Oct 5
Event2nd Asian Conference on Pattern Languages of Programs, AsianPLoP 2011 - Tokyo, Japan
Duration: 2011 Oct 52011 Oct 7

Publication series

NameACM International Conference Proceeding Series
Volume2011-October

Other

Other2nd Asian Conference on Pattern Languages of Programs, AsianPLoP 2011
Country/TerritoryJapan
CityTokyo
Period11/10/511/10/7

Keywords

  • Analysis patterns
  • Pattern extraction
  • Thesaurus
  • UML (Unified Modeling Language)

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'Mining analysis patterns by structure and word similarity'. Together they form a unique fingerprint.

Cite this