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  • 标题:Adopted topic modeling for business process and software component conformity checking
  • 本地全文:下载
  • 作者:Adhatus Solichah Ahmadiyah ; Riyanarto Sarno ; Fony Revindasari
  • 期刊名称:TELKOMNIKA (Telecommunication Computing Electronics and Control)
  • 印刷版ISSN:2302-9293
  • 出版年度:2020
  • 卷号:18
  • 期号:6
  • 页码:2939-2947
  • DOI:10.12928/telkomnika.v18i6.13381
  • 出版社:Universitas Ahmad Dahlan
  • 摘要:Business processes and software components, especially class diagrams, have a firm connection. Considering software components support the business process in providing an excellent product and service. Besides, business process changes affect on software component design. One of them usually appears on the label or name of the software component or business process. Sometimes, a related business process and software component appears in the different label but the same meaning rather than using the same label. This situation is problematic when there are many changes to be made, in which the software component's modifying process becomes quite long. Therefore, the software maintainers should obtain an efficient procedure to shorten the modifying process. One solution is by using conformity checking, which helps the software maintainers know which software component is related to a specific business process. This paper compared two leading topic modeling techniques, namely probabilistic latent semantic analysis (PLSA) and latent Dirichlet allocation (LDA), to determine which one has a better performance for process traceability.
  • 关键词:business process; document clustering; software component; topic modeling; traceability;
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