软件测试的预测分析:主题论文

Proceedings of the 11th International Workshop on Search-Based Software Testing Pub Date : 2018-05-28 DOI:10.1145/3194718.3194730

Federica Sarro

{"title":"软件测试的预测分析:主题论文","authors":"Federica Sarro","doi":"10.1145/3194718.3194730","DOIUrl":null,"url":null,"abstract":"This keynote discusses the use of Predictive Analytics for Software Engineering, and in particular for Software Defect Prediction and Software Testing, by presenting the latest results achieved in these fields leveraging Artificial Intelligence, Search-based and Machine Learning methods, and by giving some directions for future work.","PeriodicalId":239708,"journal":{"name":"Proceedings of the 11th International Workshop on Search-Based Software Testing","volume":"98 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Predictive analytics for software testing: keynote paper\",\"authors\":\"Federica Sarro\",\"doi\":\"10.1145/3194718.3194730\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This keynote discusses the use of Predictive Analytics for Software Engineering, and in particular for Software Defect Prediction and Software Testing, by presenting the latest results achieved in these fields leveraging Artificial Intelligence, Search-based and Machine Learning methods, and by giving some directions for future work.\",\"PeriodicalId\":239708,\"journal\":{\"name\":\"Proceedings of the 11th International Workshop on Search-Based Software Testing\",\"volume\":\"98 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-05-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 11th International Workshop on Search-Based Software Testing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3194718.3194730\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 11th International Workshop on Search-Based Software Testing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3194718.3194730","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 5

摘要

本主题讨论了预测分析在软件工程中的应用，特别是在软件缺陷预测和软件测试方面，通过展示利用人工智能、基于搜索和机器学习方法在这些领域取得的最新成果，并给出了未来工作的一些方向。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Predictive analytics for software testing: keynote paper

This keynote discusses the use of Predictive Analytics for Software Engineering, and in particular for Software Defect Prediction and Software Testing, by presenting the latest results achieved in these fields leveraging Artificial Intelligence, Search-based and Machine Learning methods, and by giving some directions for future work.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Proceedings of the 11th International Workshop on Search-Based Software Testing

自引率

0.00%

发文量