I. Kume, Masahide Nakamura, Naoya Nitta, Etsuya Shibayama
{"title":"Toward a dynamic analysis technique to locate framework misuses that cause unexpected side effects","authors":"I. Kume, Masahide Nakamura, Naoya Nitta, Etsuya Shibayama","doi":"10.1109/SNPD.2014.6888730","DOIUrl":null,"url":null,"abstract":"Recently many frameworks are used in software development without proper documentation, and are misused by application developers in calling framework APIs. Debugging a failure caused by a wrong API call is difficult and requires a proper supporting technique. In our preceding study we developed a dynamic analysis technique to detect possibly unexpected side effects that cause failures. In this paper, we introduce a case study to identify a wrong API call using this technique.","PeriodicalId":272932,"journal":{"name":"15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SNPD.2014.6888730","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Recently many frameworks are used in software development without proper documentation, and are misused by application developers in calling framework APIs. Debugging a failure caused by a wrong API call is difficult and requires a proper supporting technique. In our preceding study we developed a dynamic analysis technique to detect possibly unexpected side effects that cause failures. In this paper, we introduce a case study to identify a wrong API call using this technique.