bug .jar:一个大规模的、多样化的真实世界Java bug数据集

2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR) Pub Date : 2018-05-28 DOI:10.1145/3196398.3196473

Ripon K. Saha, Yingjun Lyu, Wing Lam, H. Yoshida, M. Prasad

{"title":"bug .jar:一个大规模的、多样化的真实世界Java bug数据集","authors":"Ripon K. Saha, Yingjun Lyu, Wing Lam, H. Yoshida, M. Prasad","doi":"10.1145/3196398.3196473","DOIUrl":null,"url":null,"abstract":"We present Bugs.jar, a large-scale dataset for research in automated debugging, patching, and testing of Java programs. Bugs.jar is comprised of 1,158 bugs and patches, drawn from 8 large, popular opensource Java projects, spanning 8 diverse and prominent application categories. It is an order of magnitude larger than Defects4J, the only other dataset in its class. We discuss the methodology used for constructing Bugs.jar, the representation of the dataset, several use-cases, and an illustration of three of the use-cases through the application of 3 specific tools on Bugs.jar, namely our own tool, Elixir, and two third-party tools, Ekstazi and JaCoCo.","PeriodicalId":6639,"journal":{"name":"2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR)","volume":"1 1","pages":"10-13"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"144","resultStr":"{\"title\":\"Bugs.jar: A Large-Scale, Diverse Dataset of Real-World Java Bugs\",\"authors\":\"Ripon K. Saha, Yingjun Lyu, Wing Lam, H. Yoshida, M. Prasad\",\"doi\":\"10.1145/3196398.3196473\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present Bugs.jar, a large-scale dataset for research in automated debugging, patching, and testing of Java programs. Bugs.jar is comprised of 1,158 bugs and patches, drawn from 8 large, popular opensource Java projects, spanning 8 diverse and prominent application categories. It is an order of magnitude larger than Defects4J, the only other dataset in its class. We discuss the methodology used for constructing Bugs.jar, the representation of the dataset, several use-cases, and an illustration of three of the use-cases through the application of 3 specific tools on Bugs.jar, namely our own tool, Elixir, and two third-party tools, Ekstazi and JaCoCo.\",\"PeriodicalId\":6639,\"journal\":{\"name\":\"2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR)\",\"volume\":\"1 1\",\"pages\":\"10-13\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-05-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"144\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3196398.3196473\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3196398.3196473","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 144

摘要

我们提供了Bugs.jar，这是一个大规模的数据集，用于研究Java程序的自动调试、修补和测试。jar由1158个bug和补丁组成，这些bug和补丁来自8个大型、流行的开源Java项目，涵盖8个不同且突出的应用程序类别。它比同类中唯一的另一个数据集Defects4J大一个数量级。我们讨论了构建Bugs.jar的方法、数据集的表示、几个用例，并通过在Bugs.jar上应用3个特定工具(即我们自己的工具Elixir和两个第三方工具Ekstazi和JaCoCo)来说明其中3个用例。

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

Bugs.jar: A Large-Scale, Diverse Dataset of Real-World Java Bugs

We present Bugs.jar, a large-scale dataset for research in automated debugging, patching, and testing of Java programs. Bugs.jar is comprised of 1,158 bugs and patches, drawn from 8 large, popular opensource Java projects, spanning 8 diverse and prominent application categories. It is an order of magnitude larger than Defects4J, the only other dataset in its class. We discuss the methodology used for constructing Bugs.jar, the representation of the dataset, several use-cases, and an illustration of three of the use-cases through the application of 3 specific tools on Bugs.jar, namely our own tool, Elixir, and two third-party tools, Ekstazi and JaCoCo.

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

2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR)

自引率

0.00%

发文量