論文

査読有り 筆頭著者
2018年

Heuristic Test Case Generation Technique Using Extended Place/Transition Nets

Studies in Computational Intelligence
  • Tomohiko Takagi
  • ,
  • Akinori Akagi
  • ,
  • Tetsuro Katayama

727
開始ページ
103
終了ページ
115
記述言語
英語
掲載種別
研究論文(学術雑誌)
出版者・発行元
Springer Verlag

This paper shows a novel heuristic test case generation technique using an extended PN (place/transition net). A guard and action are introduced to improve the representation power of a PN. Also, a weight that represents the degree of testing priority is given to each transition of a PN. Our algorithm that heuristically searches the extended PN generates a specified number of feasible test cases that focus on parts of higher testing priority.

ID情報
  • ISSN : 1860-949X
  • SCOPUS ID : 85026626707

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