2013 10th Working Conference on Mining Software Repositories (MSR)最新文献

A study of innovation diffusion through link sharing on stack overflow 栈溢出下链路共享的创新扩散研究

2013 10th Working Conference on Mining Software Repositories (MSR) Pub Date : 2013-05-18 DOI: 10.1109/MSR.2013.6624011

Carlos Gómez Teshima, B. Cleary, Leif Singer

引用次数: 47

Revisiting software development effort estimation based on early phase development activities 重访基于早期开发活动的软件开发工作量评估

2013 10th Working Conference on Mining Software Repositories (MSR) Pub Date : 2013-05-18 DOI: 10.1109/MSR.2013.6624059

Masateru Tsunoda, Koji Toda, Kyohei Fushida, Yasutaka Kamei, M. Nagappan, Naoyasu Ubayashi

{"title":"Revisiting software development effort estimation based on early phase development activities","authors":"Masateru Tsunoda, Koji Toda, Kyohei Fushida, Yasutaka Kamei, M. Nagappan, Naoyasu Ubayashi","doi":"10.1109/MSR.2013.6624059","DOIUrl":"https://doi.org/10.1109/MSR.2013.6624059","url":null,"abstract":"Many research projects on software estimation use software size as a major explanatory variable. However, practitioners sometimes use the ratio of effort for early phase activities such as planning and requirement analysis, to the effort for the whole development phase of the software in order to estimate effort. In this paper, we focus on effort estimation based on the effort for early phase activities. The goal of the research is to examine the relationship of early phase effort and software size with software development effort. To achieve the goal, we built effort estimation models using early phase effort as an explanatory variable, and compared the estimation accuracies of these models to the effort estimation models based on software size. In addition, we built estimation models using both early phase effort and software size. In our experiment, we used ISBSG dataset, which was collected from software development companies, and regarded planning phase effort and requirement analysis effort as early phase effort. The result of the experiment showed that when both software size and sum of planning and requirement analysis phase effort were used as explanatory variables, the estimation accuracy was most improved (Average Balanced Relative Error was improved to 75.4% from 148.4%). Based on the result, we recommend that both early phase effort and software size be used as explanatory variables, because that combination showed the high accuracy, and did not have multicollinearity issues.","PeriodicalId":325271,"journal":{"name":"2013 10th Working Conference on Mining Software Repositories (MSR)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121223854","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: 10

The impact of tangled code changes 纠结代码变更的影响

2013 10th Working Conference on Mining Software Repositories (MSR) Pub Date : 2013-05-18 DOI: 10.1109/MSR.2013.6624018

Kim Herzig, A. Zeller

引用次数: 271

INVocD: Identifier name vocabulary dataset INVocD:标识符名称词汇表数据集

2013 10th Working Conference on Mining Software Repositories (MSR) Pub Date : 2013-05-18 DOI: 10.1109/MSR.2013.6624056

Simon Butler, M. Wermelinger, Y. Yu, H. Sharp

引用次数: 19

A historical dataset of software engineering conferences 软件工程会议的历史数据集

2013 10th Working Conference on Mining Software Repositories (MSR) Pub Date : 2013-05-18 DOI: 10.1109/MSR.2013.6624051

Bogdan Vasilescu, Alexander Serebrenik, T. Mens

引用次数: 25

Linux variability anomalies: What causes them and how do they get fixed? Linux可变性异常:导致它们的原因以及如何修复它们?

2013 10th Working Conference on Mining Software Repositories (MSR) Pub Date : 2013-05-18 DOI: 10.1109/MSR.2013.6624017

Sarah Nadi, Christian J. Dietrich, Reinhard Tartler, R. Holt, D. Lohmann

{"title":"Linux variability anomalies: What causes them and how do they get fixed?","authors":"Sarah Nadi, Christian J. Dietrich, Reinhard Tartler, R. Holt, D. Lohmann","doi":"10.1109/MSR.2013.6624017","DOIUrl":"https://doi.org/10.1109/MSR.2013.6624017","url":null,"abstract":"The Linux kernel is one of the largest configurable open source software systems implementing static variability. In Linux, variability is scattered over three different artifacts: source code files, Kconfig files, and Makefiles. Previous work detected inconsistencies between these artifacts that led to anomalies in the intended variability of Linux. We call these variability anomalies. However, there has been no work done to analyze how these variability anomalies are introduced in the first place, and how they get fixed. In this work, we provide an analysis of the causes and fixes of variability anomalies in Linux. We first perform an exploratory case study that uses an existing set of patches which solve variability anomalies to identify patterns for their causes. The observations we make from this dataset allow us to develop four research questions which we then answer in a confirmatory case study on the scope of the whole Linux kernel. We show that variability anomalies exist for several releases in the kernel before they get fixed, and that contrary to our initial suspicion, typos in feature names do not commonly cause these anomalies. Our results show that variability anomalies are often introduced through incomplete patches that change Kconfig definitions without properly propagating these changes to the rest of the system. Anomalies are then commonly fixed through changes to the code rather than to Kconfig files.","PeriodicalId":325271,"journal":{"name":"2013 10th Working Conference on Mining Software Repositories (MSR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129177357","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: 28

Strategies for avoiding text fixture smells during software evolution 在软件进化过程中避免文本fixture气味的策略

2013 10th Working Conference on Mining Software Repositories (MSR) Pub Date : 2013-05-18 DOI: 10.1109/MSR.2013.6624053

Michaela Greiler, A. Zaidman, A. Deursen, M. Storey

引用次数: 45

Automatically mining software-based, semantically-similar words from comment-code mappings 从注释代码映射中自动挖掘基于软件的语义相似的单词

2013 10th Working Conference on Mining Software Repositories (MSR) Pub Date : 2013-05-18 DOI: 10.1109/MSR.2013.6624052

M. Howard, Samir Gupta, L. Pollock, K. Vijay-Shanker

{"title":"Automatically mining software-based, semantically-similar words from comment-code mappings","authors":"M. Howard, Samir Gupta, L. Pollock, K. Vijay-Shanker","doi":"10.1109/MSR.2013.6624052","DOIUrl":"https://doi.org/10.1109/MSR.2013.6624052","url":null,"abstract":"Many software development and maintenance tools involve matching between natural language words in different software artifacts (e.g., traceability) or between queries submitted by a user and software artifacts (e.g., code search). Because different people likely created the queries and various artifacts, the effectiveness of these tools is often improved by expanding queries and adding related words to textual artifact representations. Synonyms are particularly useful to overcome the mismatch in vocabularies, as well as other word relations that indicate semantic similarity. However, experience shows that many words are semantically similar in computer science situations, but not in typical natural language documents. In this paper, we present an automatic technique to mine semantically similar words, particularly in the software context. We leverage the role of leading comments for methods and programmer conventions in writing them. Our evaluation of our mined related comment-code word mappings that do not already occur in WordNet are indeed viewed as computer science, semantically-similar word pairs in high proportions.","PeriodicalId":325271,"journal":{"name":"2013 10th Working Conference on Mining Software Repositories (MSR)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126380024","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: 92

A preliminary investigation of using age and distance measures in the detection of evolutionary couplings 用年龄和距离度量来检测进化耦合的初步研究

2013 10th Working Conference on Mining Software Repositories (MSR) Pub Date : 2013-05-18 DOI: 10.1109/MSR.2013.6624024

Abdulkareem Alali, Brian Bartman, Christian D. Newman, Jonathan I. Maletic

引用次数: 23

An unabridged source code dataset for research in software reuse 一个用于软件重用研究的未删节源代码数据集

2013 10th Working Conference on Mining Software Repositories (MSR) Pub Date : 2013-05-18 DOI: 10.1109/MSR.2013.6624047

Werner Janjic, Oliver Hummel, M. Schumacher, C. Atkinson

引用次数: 22