2014 21st Asia-Pacific Software Engineering Conference最新文献

Experience on a Microservice-Based Reference Architecture for Measurement Systems 基于微服务的测量系统参考体系结构的经验

2014 21st Asia-Pacific Software Engineering Conference Pub Date : 2014-12-01 DOI: 10.1109/APSEC.2014.37

Matthias Vianden, H. Lichter, Andreas Steffens

引用次数: 32

Mining Developer Mailing List to Predict Software Defects 挖掘开发人员邮件列表以预测软件缺陷

2014 21st Asia-Pacific Software Engineering Conference Pub Date : 2014-12-01 DOI: 10.1109/APSEC.2014.63

Yu Zhang, Beijun Shen, Yuting Chen

{"title":"Mining Developer Mailing List to Predict Software Defects","authors":"Yu Zhang, Beijun Shen, Yuting Chen","doi":"10.1109/APSEC.2014.63","DOIUrl":"https://doi.org/10.1109/APSEC.2014.63","url":null,"abstract":"It has been studied that the communication among software stakeholders can be used to predict potential software defects. Yet researchers have rarely studied the relations between the software and the mailing lists of the developers. In this paper, we research on how to predict software defects by mining the mailing lists of the software developers. First, we extract both the structural and the unstructured information from mailing lists as metrics. The structural information is calculated through analyzing the social network hidden in the mailing lists, and the unstructured information is obtained through taking topical and textual analysis of the lists. Second, we design a mailing list-based approach to predicting software defects. We have also analyzed the software repository of several open source projects by linking their bug tracking data-bases to the mailing list archives. The experimental results provide empirical evidence that the mailing list metrics are related to software quality and can be used as predictors of defect-proneness. Furthermore, we found that (1) messages having certain structures may indicate some defect related files, (2) the sentiment and some topic-specific mailing models are of strong correlations with the software defects.","PeriodicalId":380881,"journal":{"name":"2014 21st Asia-Pacific Software Engineering Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125176491","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

Context Sensitive Dynamic Slicing of Concurrent Aspect-Oriented Programs 并发面向方面程序的上下文敏感动态切片

2014 21st Asia-Pacific Software Engineering Conference Pub Date : 2014-12-01 DOI: 10.1109/APSEC.2014.35

Jagannath Singh, D. Munjal, D. Mohapatra

引用次数: 10

An Efficient Method for Assessing the Impact of Refactoring Candidates on Maintainability Based on Matrix Computation 基于矩阵计算的重构候选项对可维护性影响评估方法

2014 21st Asia-Pacific Software Engineering Conference Pub Date : 2014-12-01 DOI: 10.1109/APSEC.2014.69

A. Han, Doo-Hwan Bae

引用次数: 7

An Empirical Study on the Adequacy of Testing in Open Source Projects 开源项目中测试充分性的实证研究

2014 21st Asia-Pacific Software Engineering Conference Pub Date : 2014-12-01 DOI: 10.1109/APSEC.2014.42

Pavneet Singh Kochhar, Ferdian Thung, D. Lo, J. Lawall

{"title":"An Empirical Study on the Adequacy of Testing in Open Source Projects","authors":"Pavneet Singh Kochhar, Ferdian Thung, D. Lo, J. Lawall","doi":"10.1109/APSEC.2014.42","DOIUrl":"https://doi.org/10.1109/APSEC.2014.42","url":null,"abstract":"During software maintenance, testing is a crucial activity to ensure the quality of code as it evolves over time. With the increasing size and complexity of software, adequate software testing has become increasingly important. Code coverage is an important metric to gauge the effectiveness of test cases and the adequacy of testing. However, what is the coverage level exhibited by large-scale open-source projects? What is the correlation between software metrics and the code coverage of the software? In this study, we investigate the state-of-the-practice of testing by measuring code coverage in open-source software projects. We examine over 300 large open-source projects written in Java, to measure the code coverage of their associated test cases. We analyse correlations between code coverage and relevant software metrics such as lines of code, cyclomatic complexity, and number of developers. Our results show that the coverage level decreases with the increase in size and complexity of the software, whereas the number of developers has an insignificant correlation with the code coverage. However, considering individual files, coverage increases with the size and complexity, whereas the number of developers has no correlation with the code coverage. Our results highlight the strengths and weaknesses of testing in open-source projects and make recommendations for future research.","PeriodicalId":380881,"journal":{"name":"2014 21st Asia-Pacific Software Engineering Conference","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121554292","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: 20

GAIN: GPU-Based Constraint Checking for Context Consistency 增益:基于gpu的上下文一致性约束检查

2014 21st Asia-Pacific Software Engineering Conference Pub Date : 2014-12-01 DOI: 10.1109/APSEC.2014.55

Junming Sui, Chang Xu, Wang Xi, Yanyan Jiang, Chun Cao, Xiaoxing Ma, Jian Lu

{"title":"GAIN: GPU-Based Constraint Checking for Context Consistency","authors":"Junming Sui, Chang Xu, Wang Xi, Yanyan Jiang, Chun Cao, Xiaoxing Ma, Jian Lu","doi":"10.1109/APSEC.2014.55","DOIUrl":"https://doi.org/10.1109/APSEC.2014.55","url":null,"abstract":"Applications in pervasive computing are often context-aware. However, due to uncontrollable environmental noises, contexts collected by applications can be distorted or even conflicting with each other. This is known as the context inconsistency problem. To provide reliable services, applications need to validate contexts before using them. One promising approach is to check contexts against consistency constraints at the runtime of applications. However, this can bring heavy computations due to tremendous amounts of contexts, thus leading to deteriorated performance to applications. Previous work has proposed incremental or concurrent checking techniques to improve the checking performance, but they heavily rely on CPU computing. In this paper, we propose a novel technique GAIN to exploit GPU computing to improve the checking performance. GAIN can automatically recognize parallel units in a constraint and schedule their checking in parallel on GPU cores. We evaluated GAIN with various constraints under different workloads. Our evaluation results show that, compared to CPU-based computing, GAIN saves CPU computing resources for pervasive applications while checks constraints much more efficiently.","PeriodicalId":380881,"journal":{"name":"2014 21st Asia-Pacific Software Engineering Conference","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125576190","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: 5

Software Quality Control via Exit Criteria Methodology: An Industrial Experience Report 通过退出标准方法进行软件质量控制:一份工业经验报告

2014 21st Asia-Pacific Software Engineering Conference Pub Date : 2014-12-01 DOI: 10.1109/APSEC.2014.86

Xiaoqiong Zhao, Xiao Xuan, Aoyu Wang, Dong Liu, Lingyun Zheng

引用次数: 2

Lessons Learned on Systematic Metric System Development at a Large IT Service Provider 大型IT服务提供商系统度量系统开发的经验教训

2014 21st Asia-Pacific Software Engineering Conference Pub Date : 2014-12-01 DOI: 10.1109/APSEC.2014.92

Matthias Vianden, H. Lichter

引用次数: 1

Who Should Review this Pull-Request: Reviewer Recommendation to Expedite Crowd Collaboration 谁应该审查这个拉取请求:审稿人的建议，以加快群体协作

2014 21st Asia-Pacific Software Engineering Conference Pub Date : 2014-12-01 DOI: 10.1109/APSEC.2014.57

Yue Yu, Huaimin Wang, Gang Yin, C. Ling

引用次数: 56

A Exploratory Study of @-Mention in GitHub's Pull-Requests GitHub的Pull-Requests中@-Mention的探索性研究

2014 21st Asia-Pacific Software Engineering Conference Pub Date : 2014-12-01 DOI: 10.1109/APSEC.2014.58

Yang Zhang, Gang Yin, Yue Yu, Huaimin Wang

引用次数: 22