{"title":"A green miner's dataset: mining the impact of software change on energy consumption","authors":"Chenlei Zhang, Abram Hindle","doi":"10.1145/2597073.2597130","DOIUrl":null,"url":null,"abstract":"With the advent of mobile computing, the responsibility of software developers to update and ship energy efficient applications has never been more pronounced. Green mining attempts to address this responsibility by examining the impact of software change on energy consumption. One problem with green mining is that power performance data is not readily available, unlike many other forms of MSR research. Green miners have to create tests and run them across numerous versions of a software project because power performance data was either missing or never existed for that particular project. In this paper we describe multiple open green mining datasets used in prior green mining work. The dataset includes numerous power traces and parallel system call and CPU/IO/Memory traces of multiple versions of multiple products. These datasets enable those more interested in data-mining and modeling to work on green mining problems as well.","PeriodicalId":6621,"journal":{"name":"2016 IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR)","volume":"88 1","pages":"400-403"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2597073.2597130","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
With the advent of mobile computing, the responsibility of software developers to update and ship energy efficient applications has never been more pronounced. Green mining attempts to address this responsibility by examining the impact of software change on energy consumption. One problem with green mining is that power performance data is not readily available, unlike many other forms of MSR research. Green miners have to create tests and run them across numerous versions of a software project because power performance data was either missing or never existed for that particular project. In this paper we describe multiple open green mining datasets used in prior green mining work. The dataset includes numerous power traces and parallel system call and CPU/IO/Memory traces of multiple versions of multiple products. These datasets enable those more interested in data-mining and modeling to work on green mining problems as well.