Maxime Cordy, Xiaofei Xie, Bowen Xu, Bibi Stamatia
{"title":"MaLTeSQuE 2022研讨会总结","authors":"Maxime Cordy, Xiaofei Xie, Bowen Xu, Bibi Stamatia","doi":"10.1145/3573074.3573099","DOIUrl":null,"url":null,"abstract":"Welcome to the sixth edition of the workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE 2022), held in Singapore, November 18th, 2022, co-located with ESEC / FSE 2022 [1]. Six papers from all over the world were submitted, five of them were accepted. The program also featured two keynotes by Yuriy Brun on the promise and perils of using machine learning when engineering software and Mike Papadakis on the best practices in assessment of deep learning testing methods.","PeriodicalId":432885,"journal":{"name":"ACM SIGSOFT Software Engineering Notes","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"MaLTeSQuE 2022 Workshop Summary\",\"authors\":\"Maxime Cordy, Xiaofei Xie, Bowen Xu, Bibi Stamatia\",\"doi\":\"10.1145/3573074.3573099\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Welcome to the sixth edition of the workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE 2022), held in Singapore, November 18th, 2022, co-located with ESEC / FSE 2022 [1]. Six papers from all over the world were submitted, five of them were accepted. The program also featured two keynotes by Yuriy Brun on the promise and perils of using machine learning when engineering software and Mike Papadakis on the best practices in assessment of deep learning testing methods.\",\"PeriodicalId\":432885,\"journal\":{\"name\":\"ACM SIGSOFT Software Engineering Notes\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM SIGSOFT Software Engineering Notes\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3573074.3573099\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SIGSOFT Software Engineering Notes","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3573074.3573099","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Welcome to the sixth edition of the workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE 2022), held in Singapore, November 18th, 2022, co-located with ESEC / FSE 2022 [1]. Six papers from all over the world were submitted, five of them were accepted. The program also featured two keynotes by Yuriy Brun on the promise and perils of using machine learning when engineering software and Mike Papadakis on the best practices in assessment of deep learning testing methods.
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