論文

査読有り
2014年

A dynamic analysis technique to extract symptoms that suggest side effects in framework applications

Proceedings of the ACM Symposium on Applied Computing
  • Izuru Kume
  • ,
  • Naoya Nitta
  • ,
  • Masahide Nakamura
  • ,
  • Etsuya Shibayama

開始ページ
1176
終了ページ
1178
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1145/2554850.2555123
出版者・発行元
Association for Computing Machinery

Program debugging forces time consuming tasks to locate defects on maintainers. Many existing supporting methods assume that maintainers can identify erroneous values and objects' states at runtime. However, such assumptions do not always hold in real program debugging. In this paper, we propose a dynamic analysis technique to extract symptoms which suggest a framework misuse in the process to update a state of an object. Symptoms help maintainers by showing which state updates are likely to be unexpected, even if maintainers can not decide if the updated states are correct or not. We developed a prototype tool to extract symptoms. We evaluate our method by applying it to a bug in a practical framework application developed by a third party. Copyright 2014 ACM.

リンク情報
DOI
https://doi.org/10.1145/2554850.2555123
DBLP
https://dblp.uni-trier.de/rec/conf/sac/KumeNNS14
URL
http://doi.acm.org/10.1145/2554850.2555123
URL
http://dblp.uni-trier.de/db/conf/sac/sac2014.html#conf/sac/KumeNNS14
ID情報
  • DOI : 10.1145/2554850.2555123
  • DBLP ID : conf/sac/KumeNNS14
  • SCOPUS ID : 84905656811

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