2014年
A dynamic analysis technique to extract symptoms that suggest side effects in framework applications
Proceedings of the ACM Symposium on Applied Computing
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- 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
- ID情報
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- DOI : 10.1145/2554850.2555123
- DBLP ID : conf/sac/KumeNNS14
- SCOPUS ID : 84905656811