I. Kume, Masahide Nakamura, Naoya Nitta, Etsuya Shibayama
{"title":"采用动态分析技术来定位导致意外副作用的框架误用","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":"{\"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}","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}
Toward a dynamic analysis technique to locate framework misuses that cause unexpected side effects
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.