2012 9th IEEE Working Conference on Mining Software Repositories (MSR)最新文献

Can we predict types of code changes? An empirical analysis 我们能预测代码更改的类型吗?实证分析

2012 9th IEEE Working Conference on Mining Software Repositories (MSR) Pub Date : 2012-06-02 DOI: 10.1109/MSR.2012.6224284

E. Giger, M. Pinzger, H. Gall

引用次数: 88

An empirical investigation of changes in some software properties over time 对一些软件属性随时间变化的经验调查

2012 9th IEEE Working Conference on Mining Software Repositories (MSR) Pub Date : 2012-06-02 DOI: 10.1109/MSR.2012.6224285

J. Gil, M. Goldstein, Dany Moshkovich

{"title":"An empirical investigation of changes in some software properties over time","authors":"J. Gil, M. Goldstein, Dany Moshkovich","doi":"10.1109/MSR.2012.6224285","DOIUrl":"https://doi.org/10.1109/MSR.2012.6224285","url":null,"abstract":"Software metrics are easy to define, but not so easy to justify. It is hard to prove that a metric is valid, i.e., that measured numerical values imply anything on the vaguely defined, yet crucial software properties such as complexity and maintainability. This paper employs statistical analysis and tests to check some plausible assumptions on the behavior of software and metrics measured for this software in retrospective on its versions evolution history. Among those are the reliability assumption implicit in the application of any code metric, and the assumption that the magnitude of change, i.e., increase or decrease of its size, in a software artifact is correlated with changes to its version number. Putting a suite of 36 metrics to the trial, we confirm most of the assumptions on a large repository of software artifacts. Surprisingly, we show that a substantial portion of the reliability of some metrics can be observed even in random changes to architecture. Another surprising result is that Boolean-valued metrics tend to flip their values more often in minor software version increments than in major increments.","PeriodicalId":383774,"journal":{"name":"2012 9th IEEE Working Conference on Mining Software Repositories (MSR)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124426530","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: 4

Incorporating version histories in Information Retrieval based bug localization 在基于信息检索的bug定位中引入版本历史

2012 9th IEEE Working Conference on Mining Software Repositories (MSR) Pub Date : 2012-06-02 DOI: 10.1109/MSR.2012.6224299

Bunyamin Sisman, A. Kak

引用次数: 101

An empirical study of supplementary bug fixes 补充错误修复的实证研究

2012 9th IEEE Working Conference on Mining Software Repositories (MSR) Pub Date : 2012-06-02 DOI: 10.1109/MSR.2012.6224298

Jihun Park, Miryung Kim, Baishakhi Ray, Doo-Hwan Bae

{"title":"An empirical study of supplementary bug fixes","authors":"Jihun Park, Miryung Kim, Baishakhi Ray, Doo-Hwan Bae","doi":"10.1109/MSR.2012.6224298","DOIUrl":"https://doi.org/10.1109/MSR.2012.6224298","url":null,"abstract":"A recent study finds that errors of omission are harder for programmers to detect than errors of commission. While several change recommendation systems already exist to prevent or reduce omission errors during software development, there have been very few studies on why errors of omission occur in practice and how such errors could be prevented. In order to understand the characteristics of omission errors, this paper investigates a group of bugs that were fixed more than once in open source projects - those bugs whose initial patches were later considered incomplete and to which programmers applied supplementary patches. Our study on Eclipse JDT core, Eclipse SWT, and Mozilla shows that a significant portion of resolved bugs (22% to 33%) involves more than one fix attempt. Our manual inspection shows that the causes of omission errors are diverse, including missed porting changes, incorrect handling of conditional statements, or incomplete refactorings, etc. While many consider that missed updates to code clones often lead to omission errors, only a very small portion of supplementary patches (12% in JDT, 25% in SWT, and 9% in Mozilla) have a content similar to their initial patches. This implies that supplementary change locations cannot be predicted by code clone analysis alone. Furthermore, 14% to 15% of files in supplementary patches are beyond the scope of immediate neighbors of their initial patch locations - they did not overlap with the initial patch locations nor had direct structural dependencies on them (e.g. calls, accesses, subtyping relations, etc.). These results call for new types of omission error prevention approaches that complement existing change recommendation systems.","PeriodicalId":383774,"journal":{"name":"2012 9th IEEE Working Conference on Mining Software Repositories (MSR)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130817630","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: 71

Co-evolution of logical couplings and commits for defect estimation 用于缺陷估计的逻辑耦合和提交的协同演化

2012 9th IEEE Working Conference on Mining Software Repositories (MSR) Pub Date : 2012-06-02 DOI: 10.1109/MSR.2012.6224283

Maximilian Steff, B. Russo

引用次数: 18

Analysis of customer satisfaction survey data 顾客满意度调查数据分析

2012 9th IEEE Working Conference on Mining Software Repositories (MSR) Pub Date : 2012-06-02 DOI: 10.1109/MSR.2012.6224304

Pete Rotella, S. Chulani

{"title":"Analysis of customer satisfaction survey data","authors":"Pete Rotella, S. Chulani","doi":"10.1109/MSR.2012.6224304","DOIUrl":"https://doi.org/10.1109/MSR.2012.6224304","url":null,"abstract":"Cisco Systems, Inc., conducts a customer satisfaction survey (CSAT) each year to gauge customer sentiment regarding Cisco products, technical support, partner- and Cisco-provided technical services, order fulfillment, and a number of other aspects of the companys business. The results of the analysis of this data are used for several purposes, including ascertaining the viability of new products, determining if customer support objectives are being met, setting engineering in-process and customer experience yearly metrics goals, and assessing, indirectly, the success of engineering initiatives. Analyzing this data, which includes 110,000 yearly sets of survey responses that address over 100 product and services categories, is in many respects complicated. For example, skip logic is an integral part of the survey mechanics, and forming aggregate views of customer sentiment is statistically challenging in this data environment. In this paper, we describe several of the various analysis approaches currently used, pointing out some situations where a high level of precision is not easily achieved, and some situations in which it is possible to easily end up with erroneous results. The analysis and statistical territory covered in this paper is in parts well-known and straightforward, but other parts, which we address, are susceptible to large inaccuracies and errors. We address several of these difficulties and develop reasonable solutions for two known issues, high missing value levels and high colinearity of independent variables.","PeriodicalId":383774,"journal":{"name":"2012 9th IEEE Working Conference on Mining Software Repositories (MSR)","volume":"73 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115714788","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: 12

Who? Where? What? Examining distributed development in two large open source projects 谁?在哪里?怎么啦？研究两个大型开源项目中的分布式开发

2012 9th IEEE Working Conference on Mining Software Repositories (MSR) Pub Date : 2012-06-02 DOI: 10.1109/MSR.2012.6224286

C. Bird, Nachiappan Nagappan

引用次数: 38

Characterizing verification of bug fixes in two open source IDEs 描述两个开源ide中错误修复的验证

2012 9th IEEE Working Conference on Mining Software Repositories (MSR) Pub Date : 2012-06-02 DOI: 10.1109/MSR.2012.6224301

Rodrigo R. G. Souza, C. Chavez

引用次数: 7

Error mining: Bug detection through comparison with large code databases 错误挖掘:通过与大型代码数据库的比较来检测Bug

2012 9th IEEE Working Conference on Mining Software Repositories (MSR) Pub Date : 2012-06-02 DOI: 10.1109/MSR.2012.6224278

Alexander Breckel

引用次数: 7

Green mining: A methodology of relating software change to power consumption 绿色挖掘:一种将软件变更与能耗联系起来的方法

2012 9th IEEE Working Conference on Mining Software Repositories (MSR) Pub Date : 2012-06-02 DOI: 10.1109/MSR.2012.6224303

Abram Hindle

{"title":"Green mining: A methodology of relating software change to power consumption","authors":"Abram Hindle","doi":"10.1109/MSR.2012.6224303","DOIUrl":"https://doi.org/10.1109/MSR.2012.6224303","url":null,"abstract":"Power consumption is becoming more and more important with the increased popularity of smart-phones, tablets and laptops. The threat of reducing a customer's battery-life now hangs over the software developer who asks, “will this next change be the one that causes my software to drain a customer's battery?” One solution is to detect power consumption regressions by measuring the power usage of tests, but this is time-consuming and often noisy. An alternative is to rely on software metrics that allow us to estimate the impact that a change might have on power consumption thus relieving the developer from expensive testing. This paper presents a general methodology for investigating the impact of software change on power consumption, we relate power consumption to software changes, and then investigate the impact of static OO software metrics on power consumption. We demonstrated that software change can effect power consumption using the Firefox web-browser and the Azureus/Vuze BitTorrent client. We found evidence of a potential relationship between some software metrics and power consumption. In conclusion, we explored the effect of software change on power consumption on two projects; and we provide an initial investigation on the impact of software metrics on power consumption.","PeriodicalId":383774,"journal":{"name":"2012 9th IEEE Working Conference on Mining Software Repositories (MSR)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116786272","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: 93