2010 IEEE 18th International Conference on Program Comprehension最新文献_第4页

Patrools: Visualizing the Polymorphic Usage of Class Hierarchies 巡逻:可视化类层次结构的多态使用

2010 IEEE 18th International Conference on Program Comprehension Pub Date : 2010-06-30 DOI: 10.1109/ICPC.2010.35

Petru Florin Mihancea

引用次数: 2

My Repository Runneth Over: An Empirical Study on Diversifying Data Sources to Improve Feature Search My Repository run Over:多样化数据源改进特征搜索的实证研究

2010 IEEE 18th International Conference on Program Comprehension Pub Date : 2010-06-30 DOI: 10.1109/ICPC.2010.33

S. Ratanotayanon, Hye Jung Choi, S. Sim

{"title":"My Repository Runneth Over: An Empirical Study on Diversifying Data Sources to Improve Feature Search","authors":"S. Ratanotayanon, Hye Jung Choi, S. Sim","doi":"10.1109/ICPC.2010.33","DOIUrl":"https://doi.org/10.1109/ICPC.2010.33","url":null,"abstract":"Research on feature location that applies information retrieval techniques have experimented the kinds of inputs to the corpus and the algorithms that could be used. At first, only source code was used. Later extraction techniques were improved, and data from other software tools and analyses were used to expand or augment the repository. But, does having more diverse data in the repository always produce better results? In this paper, we report on an empirical study to examine the effect of increasing data diversity to improve feature location through search. In particular, we looked at the effect of including: i) change sets from revision control system, ii) tickets from issue trackers, and iii) elements from a Static Dependency Graph (SDG). We searched for three features of Jajuk, an open source Java jukebox, and two features of jEdit, an open source Java text editor. We used four different corpuses built with a combination of the above data. We used Eclipse’s code search and an index built with source code as baseline conditions. We found that it is not always better to have more diverse data. Adding SDG data to change sets increased recall, but drove down precision. Adding data from issue trackers had little effect and in one case lowered recall. We also found that large-scale refactoring of the code decreases the effectiveness using change sets for feature location.","PeriodicalId":110667,"journal":{"name":"2010 IEEE 18th International Conference on Program Comprehension","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131579348","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: 13

Natural Language Parsing of Program Element Names for Concept Extraction 面向概念抽取的程序元素名称的自然语言解析

2010 IEEE 18th International Conference on Program Comprehension Pub Date : 2010-06-30 DOI: 10.1109/ICPC.2010.29

S. Abebe, P. Tonella

引用次数: 102

An Eye Tracking Study on camelCase and under_score Identifier Styles camelCase和under_score标识符风格的眼动追踪研究

2010 IEEE 18th International Conference on Program Comprehension Pub Date : 2010-06-30 DOI: 10.1109/ICPC.2010.41

Bonita Sharif, Jonathan I. Maletic

引用次数: 127

Studying the Impact of Social Structures on Software Quality 研究社会结构对软件质量的影响

2010 IEEE 18th International Conference on Program Comprehension Pub Date : 2010-06-30 DOI: 10.1109/ICPC.2010.46

Nicolas Bettenburg, A. Hassan

{"title":"Studying the Impact of Social Structures on Software Quality","authors":"Nicolas Bettenburg, A. Hassan","doi":"10.1109/ICPC.2010.46","DOIUrl":"https://doi.org/10.1109/ICPC.2010.46","url":null,"abstract":"Correcting software defects accounts for a significant amount of resources such as time, money and personnel. To be able to focus testing efforts where needed the most, researchers have studied statistical models to predict in which parts of a software future defects are likely to occur. By studying the mathematical relations between predictor variables used in these models, researchers can form an increased understanding of the important connections between development activities and software quality. Predictor variables used in past top-performing models are largely based on file-oriented measures, such as source code and churn metrics. However, source code is the end product of numerous interlaced and collaborative activities carried out by developers. Traces of such activities can be found in the repositories used to manage development efforts. In this paper, we investigate statistical models, to study the impact of social structures between developers and end-users on software quality. These models use predictor variables based on social information mined from the issue tracking and version control repositories of a large open-source software project. The results of our case study are promising and indicate that statistical models based on social information have a similar degree of explanatory power as traditional models. Furthermore, our findings suggest that social information does not substitute, but rather augments traditional product and process-based metrics used in defect prediction models.","PeriodicalId":110667,"journal":{"name":"2010 IEEE 18th International Conference on Program Comprehension","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124739565","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: 82

Visual Support for Understanding Product Lines 理解产品线的可视化支持

2010 IEEE 18th International Conference on Program Comprehension Pub Date : 2010-06-30 DOI: 10.1109/ICPC.2010.15

J. Siegmund, Christian Kästner, Mathias Frisch, Raimund Dachselt, S. Apel

引用次数: 21

Sound as an Aid in Understanding Low-Level Program Architecture 声音作为理解低级程序体系结构的辅助工具

2010 IEEE 18th International Conference on Program Comprehension Pub Date : 2010-06-30 DOI: 10.1109/ICPC.2010.55

L. Berman

引用次数: 1

Understanding and Auditing the Licensing of Open Source Software Distributions 理解和审核开源软件发行版的许可

2010 IEEE 18th International Conference on Program Comprehension Pub Date : 2010-06-30 DOI: 10.1109/ICPC.2010.48

D. Germán, M. D. Penta, Julius Davies

{"title":"Understanding and Auditing the Licensing of Open Source Software Distributions","authors":"D. Germán, M. D. Penta, Julius Davies","doi":"10.1109/ICPC.2010.48","DOIUrl":"https://doi.org/10.1109/ICPC.2010.48","url":null,"abstract":"Free and open source software (FOSS) is often distributed in binary packages, sometimes part of GNU/Linux operating system distributions, or part of products distributed/sold to users. FOSS creates great opportunities for users, developers and integrators, however it is important for them to understand the licensing requirements of any package they use. Determining the license of a package and assessing whether it depends on other software with incompatible licenses is not trivial. Although this task has been done in a labor intensive manner by software distributions, automatic tools to perform this analysis are highly desired. This paper proposes a method to understand licensing compatibility issues in software packages, and reports an empirical study aimed at auditing licensing issues in binary packages of the Fedora-12 GNU/Linux distribution. The objective of this study is (i) to understand how the license declared in packages is consistent with those of source code files, and (ii) to audit the licensing information of Fedora-12, highlighting cases of incompatibilities between dependent packages. The obtained results—supported by feedback received from Fedora contributors—show that there exist many nuances in determining the license of a binary package from its source code, as well as cases of license incompatibility issues due to package dependencies.","PeriodicalId":110667,"journal":{"name":"2010 IEEE 18th International Conference on Program Comprehension","volume":"16 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126085490","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: 59

Extracting Source Code from E-Mails 从电子邮件中提取源代码

2010 IEEE 18th International Conference on Program Comprehension Pub Date : 2010-06-01 DOI: 10.1109/ICPC.2010.47

Alberto Bacchelli, Marco D'Ambros, Michele Lanza

{"title":"Extracting Source Code from E-Mails","authors":"Alberto Bacchelli, Marco D'Ambros, Michele Lanza","doi":"10.1109/ICPC.2010.47","DOIUrl":"https://doi.org/10.1109/ICPC.2010.47","url":null,"abstract":"E-mails, used by developers and system users to communicate over a broad range of topics, offer a valuable source of information. If archived, e-mails can be mined to support program comprehension activities and to provide views of a software system that are alternative and complementary to those offered by the source code. However, e-mails are written in natural language, and therefore contain noise that makes it difficult to retrieve the important data. Thus, before conducting an effective system analysis and extracting data for program comprehension, it is necessary to select the relevant messages, and to expose only the meaningful information. In this work we focus both on classifying e-mails that hold fragments of the source code of a system, and on extracting the source code pieces inside the e-mail. We devised and analyzed a number of lightweight techniques to accomplish these tasks. To assess the validity of our techniques, we manually inspected and annotated a statistically significant number of e-mails from five unrelated open source software systems written in Java. With such a benchmark in place, we measured the effectiveness of each technique in terms of precision and recall.","PeriodicalId":110667,"journal":{"name":"2010 IEEE 18th International Conference on Program Comprehension","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125442714","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: 33

A Simple and Effective Measure for Complex Low-Level Dependencies 复杂的低级依赖关系的简单而有效的度量

2010 IEEE 18th International Conference on Program Comprehension Pub Date : 2010-06-01 DOI: 10.1109/ICPC.2010.49

Dirk Beyer, Ashgan Fararooy

引用次数: 23