Fourth International Workshop on Mining Software Repositories (MSR'07:ICSE Workshops 2007)最新文献

Mining Workspace Updates in CVS 在CVS中挖掘工作区更新

Fourth International Workshop on Mining Software Repositories (MSR'07:ICSE Workshops 2007) Pub Date : 2007-05-20 DOI: 10.1109/MSR.2007.22

Thomas Zimmermann

引用次数: 56

Visual Data Mining in Software Archives to Detect How Developers Work Together 软件档案中的可视化数据挖掘以检测开发人员如何协同工作

Fourth International Workshop on Mining Software Repositories (MSR'07:ICSE Workshops 2007) Pub Date : 2007-05-20 DOI: 10.1109/MSR.2007.34

P. Weißgerber, M. Pohl, Michael Burch

引用次数: 36

Mining CVS Repositories to Understand Open-Source Project Developer Roles 挖掘CVS存储库以理解开源项目开发人员角色

Fourth International Workshop on Mining Software Repositories (MSR'07:ICSE Workshops 2007) Pub Date : 2007-05-20 DOI: 10.1109/MSR.2007.19

Liguo Yu, S. Ramaswamy

引用次数: 58

Defect Data Analysis Based on Extended Association Rule Mining 基于扩展关联规则挖掘的缺陷数据分析

Fourth International Workshop on Mining Software Repositories (MSR'07:ICSE Workshops 2007) Pub Date : 2007-05-20 DOI: 10.1109/MSR.2007.5

Shuji Morisaki, Akito Monden, Tomoko Matsumura, Haruaki Tamada, Ken-ichi Matsumoto

{"title":"Defect Data Analysis Based on Extended Association Rule Mining","authors":"Shuji Morisaki, Akito Monden, Tomoko Matsumura, Haruaki Tamada, Ken-ichi Matsumoto","doi":"10.1109/MSR.2007.5","DOIUrl":"https://doi.org/10.1109/MSR.2007.5","url":null,"abstract":"This paper describes an empirical study to reveal rules associated with defect correction effort. We defined defect correction effort as a quantitative (ratio scale) variable, and extended conventional (nominal scale based) association rule mining to directly handle such quantitative variables. An extended rule describes the statistical characteristic of a ratio or interval scale variable in the consequent part of the rule by its mean value and standard deviation so that conditions producing distinctive statistics can be discovered As an analysis target, we collected various attributes of about 1,200 defects found in a typical medium-scale, multi-vendor (distance development) information system development project in Japan. Our findings based on extracted rules include: (l)Defects detected in coding/unit testing were easily corrected (less than 7% of mean effort) when they are related to data output or validation of input data. (2)Nevertheless, they sometimes required much more effort (lift of standard deviation was 5.845) in case of low reproducibility, (i)Defects introduced in coding/unit testing often required large correction effort (mean was 12.596 staff-hours and standard deviation was 25.716) when they were related to data handing. From these findings, we confirmed that we need to pay attention to types of defects having large mean effort as well as those having large standard deviation of effort since such defects sometimes cause excess effort.","PeriodicalId":201749,"journal":{"name":"Fourth International Workshop on Mining Software Repositories (MSR'07:ICSE Workshops 2007)","volume":"22 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120836620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 30

What Can OSS Mailing Lists Tell Us? A Preliminary Psychometric Text Analysis of the Apache Developer Mailing List OSS邮件列表能告诉我们什么?Apache开发者邮件列表的初步心理测量文本分析

Fourth International Workshop on Mining Software Repositories (MSR'07:ICSE Workshops 2007) Pub Date : 2007-05-20 DOI: 10.1109/MSR.2007.35

Peter C. Rigby, A. Hassan

{"title":"What Can OSS Mailing Lists Tell Us? A Preliminary Psychometric Text Analysis of the Apache Developer Mailing List","authors":"Peter C. Rigby, A. Hassan","doi":"10.1109/MSR.2007.35","DOIUrl":"https://doi.org/10.1109/MSR.2007.35","url":null,"abstract":"Developer mailing lists are a rich source of information about Open Source Software (OSS) development. The unstructured nature of email makes extracting information difficult. We use a psychometrically-based linguistic analysis tool, the LIWC, to examine the Apache httpd server developer mailing list. We conduct three preliminary experiments to assess the appropriateness of this tool for information extraction from mailing lists. First, using LIWC dimensions that are correlated with the big five personality traits, we assess the personality of four top developers against a baseline for the entire mailing list. The two developers that were responsible for the major Apache releases had similar personalities. Their personalities were different from the baseline and the other developers. Second, the first and last 50 emails for two top developers who have left the project are examined. The analysis shows promise in understanding why developers join and leave a project. Third, we examine word usage on the mailing list for two major Apache releases. The differences may reflect the relative success of each release.","PeriodicalId":201749,"journal":{"name":"Fourth International Workshop on Mining Software Repositories (MSR'07:ICSE Workshops 2007)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126370247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 122

Local and Global Recency Weighting Approach to Bug Prediction Bug预测的局部和全局近因加权方法

Fourth International Workshop on Mining Software Repositories (MSR'07:ICSE Workshops 2007) Pub Date : 2007-05-20 DOI: 10.1109/MSR.2007.17

Hemant Joshi, Chuanlei Zhang, S. Ramaswamy, Coskun Bayrak

引用次数: 15

Prioritizing Warning Categories by Analyzing Software History 通过分析软件历史来确定警告类别的优先级

Fourth International Workshop on Mining Software Repositories (MSR'07:ICSE Workshops 2007) Pub Date : 2007-05-20 DOI: 10.1109/MSR.2007.26

Sunghun Kim, Michael D. Ernst

引用次数: 87

Analysis of the Linux Kernel Evolution Using Code Clone Coverage 用代码克隆覆盖率分析Linux内核演化

Fourth International Workshop on Mining Software Repositories (MSR'07:ICSE Workshops 2007) Pub Date : 2007-05-20 DOI: 10.1109/MSR.2007.1

Simone Livieri, Yoshiki Higo, M. Matsushita, Katsuro Inoue

引用次数: 42

How Long Will It Take to Fix This Bug? 修复这个Bug需要多长时间?

Fourth International Workshop on Mining Software Repositories (MSR'07:ICSE Workshops 2007) Pub Date : 2007-05-20 DOI: 10.1109/MSR.2007.13

Cathrin Weiss, Rahul Premraj, Thomas Zimmermann, A. Zeller

引用次数: 392

Predicting Eclipse Bug Lifetimes 预测Eclipse Bug的生命周期

Fourth International Workshop on Mining Software Repositories (MSR'07:ICSE Workshops 2007) Pub Date : 2007-05-20 DOI: 10.1109/MSR.2007.25

Lucas D. Panjer

引用次数: 172