Salwa Alamir, Petr Babkin, N. Navarro, Sameena Shah
{"title":"用于自动代码更新的AI","authors":"Salwa Alamir, Petr Babkin, N. Navarro, Sameena Shah","doi":"10.1145/3510457.3513073","DOIUrl":null,"url":null,"abstract":"Most modern code bases extensively rely on external libraries to provide robust functionality out of the box. When these libraries are updated they can sometimes introduce breaking changes in the process, which require extensive developer maintenance. To mitigate this we propose to use artificial intelligence to parse the text of release notes to capture code deprecations in structured form. This, in turn, enables us to develop an IDE plugin that can automatically detect deprecated library usages in live code bases and even suggest recommended fixes. We evaluated our system on over 30 internal projects within J.P. Morgan.","PeriodicalId":119790,"journal":{"name":"2022 IEEE/ACM 44th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)","volume":"121 19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"AI for Automated Code Updates\",\"authors\":\"Salwa Alamir, Petr Babkin, N. Navarro, Sameena Shah\",\"doi\":\"10.1145/3510457.3513073\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Most modern code bases extensively rely on external libraries to provide robust functionality out of the box. When these libraries are updated they can sometimes introduce breaking changes in the process, which require extensive developer maintenance. To mitigate this we propose to use artificial intelligence to parse the text of release notes to capture code deprecations in structured form. This, in turn, enables us to develop an IDE plugin that can automatically detect deprecated library usages in live code bases and even suggest recommended fixes. We evaluated our system on over 30 internal projects within J.P. Morgan.\",\"PeriodicalId\":119790,\"journal\":{\"name\":\"2022 IEEE/ACM 44th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)\",\"volume\":\"121 19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE/ACM 44th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3510457.3513073\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE/ACM 44th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3510457.3513073","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Most modern code bases extensively rely on external libraries to provide robust functionality out of the box. When these libraries are updated they can sometimes introduce breaking changes in the process, which require extensive developer maintenance. To mitigate this we propose to use artificial intelligence to parse the text of release notes to capture code deprecations in structured form. This, in turn, enables us to develop an IDE plugin that can automatically detect deprecated library usages in live code bases and even suggest recommended fixes. We evaluated our system on over 30 internal projects within J.P. Morgan.
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