Dimitris Mitropoulos, Vassilios Karakoidas, P. Louridas, Georgios Gousios, D. Spinellis
{"title":"maven生态系统的bug目录","authors":"Dimitris Mitropoulos, Vassilios Karakoidas, P. Louridas, Georgios Gousios, D. Spinellis","doi":"10.1145/2597073.2597123","DOIUrl":null,"url":null,"abstract":"Examining software ecosystems can provide the research community with data regarding artifacts, processes, and communities. We present a dataset obtained from the Maven central repository ecosystem (approximately 265GB of data) by statically analyzing the repository to detect potential software bugs. For our analysis we used FindBugs, a tool that examines Java bytecode to detect numerous types of bugs. The dataset contains the metrics results that FindBugs reports for every project version (a JAR) included in the ecosystem. For every version we also stored specific metadata such as the JAR's size, its dependencies and others. Our dataset can be used to produce interesting research results, as we show in specific examples.","PeriodicalId":6621,"journal":{"name":"2016 IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR)","volume":"21 1","pages":"372-375"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"32","resultStr":"{\"title\":\"The bug catalog of the maven ecosystem\",\"authors\":\"Dimitris Mitropoulos, Vassilios Karakoidas, P. Louridas, Georgios Gousios, D. Spinellis\",\"doi\":\"10.1145/2597073.2597123\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Examining software ecosystems can provide the research community with data regarding artifacts, processes, and communities. We present a dataset obtained from the Maven central repository ecosystem (approximately 265GB of data) by statically analyzing the repository to detect potential software bugs. For our analysis we used FindBugs, a tool that examines Java bytecode to detect numerous types of bugs. The dataset contains the metrics results that FindBugs reports for every project version (a JAR) included in the ecosystem. For every version we also stored specific metadata such as the JAR's size, its dependencies and others. Our dataset can be used to produce interesting research results, as we show in specific examples.\",\"PeriodicalId\":6621,\"journal\":{\"name\":\"2016 IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR)\",\"volume\":\"21 1\",\"pages\":\"372-375\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"32\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2597073.2597123\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2597073.2597123","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Examining software ecosystems can provide the research community with data regarding artifacts, processes, and communities. We present a dataset obtained from the Maven central repository ecosystem (approximately 265GB of data) by statically analyzing the repository to detect potential software bugs. For our analysis we used FindBugs, a tool that examines Java bytecode to detect numerous types of bugs. The dataset contains the metrics results that FindBugs reports for every project version (a JAR) included in the ecosystem. For every version we also stored specific metadata such as the JAR's size, its dependencies and others. Our dataset can be used to produce interesting research results, as we show in specific examples.