2016 IEEE International Conference on Software Quality, Reliability and Security (QRS)最新文献_第5页

What Makes a Satisficing Bug Report? 怎样才能写出令人满意的Bug报告?

2016 IEEE International Conference on Software Quality, Reliability and Security (QRS) Pub Date : 2016-08-01 DOI: 10.1109/QRS.2016.28

Tommaso Dal Sasso, Andrea Mocci, Michele Lanza

引用次数: 14

Firewalls for the Web 2.0 用于Web 2.0的防火墙

2016 IEEE International Conference on Software Quality, Reliability and Security (QRS) Pub Date : 2016-08-01 DOI: 10.1109/QRS.2016.36

René Rietz, H. König, Steffen Ullrich, Benjamin Stritter

引用次数: 1

Network Performance Bottleneck Detection and Maximum Network Throughput Estimation for Datacenter Applications 数据中心应用的网络性能瓶颈检测和最大网络吞吐量估计

2016 IEEE International Conference on Software Quality, Reliability and Security (QRS) Pub Date : 2016-08-01 DOI: 10.1109/QRS.2016.14

Patrick H. Ngai, Sung-Jer Lu, Yu-Sung Wu, W. Lim, Tung-Yueh Lin

引用次数: 1

A Tool Supported Testing Method for Reducing Cost and Improving Quality 一种工具支持的降低成本和提高质量的测试方法

2016 IEEE International Conference on Software Quality, Reliability and Security (QRS) Pub Date : 2016-08-01 DOI: 10.1109/QRS.2016.56

Shaoying Liu

引用次数: 8

Mutation Integration Testing 突变整合测试

2016 IEEE International Conference on Software Quality, Reliability and Security (QRS) Pub Date : 2016-08-01 DOI: 10.1109/QRS.2016.47

M. Grechanik, Gurudev Devanla

{"title":"Mutation Integration Testing","authors":"M. Grechanik, Gurudev Devanla","doi":"10.1109/QRS.2016.47","DOIUrl":"https://doi.org/10.1109/QRS.2016.47","url":null,"abstract":"In integration testing, integrated software modules or components are evaluated as a whole to determine if they behave correctly. Mutation testing is recognized as one of the strongest approaches for evaluating the effectiveness of test suites, and it is important to generate effective mutants efficiently for integration tests. However, it is difficult to generate integration mutants that create an error state in one component with certain assurances that this error state will affect computations in some other components. Unfortunately, little research exists that addresses this big and important problem to improve the quality of integration test suites. In this paper, we propose a theory and a solution for generating mutants that specifically target integration tests. We formulate a fault model for integration bugs that uses static dataflow analysis to obtain information about how integrated components interact in an application. Integration mutants are generated by applying mutation operators to instructions that lie in dataflow paths among integrated components. We implemented our approach and evaluated it on five open-source applications. In comparison to muJava, our approach reduces the number of generated mutants by up to approximately 19 times with a strong power to determine inadequacies in integration test suites.","PeriodicalId":412973,"journal":{"name":"2016 IEEE International Conference on Software Quality, Reliability and Security (QRS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128548446","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

Which Change Sets in Git Repositories Are Related? Git存储库中的哪些变更集是相关的?

2016 IEEE International Conference on Software Quality, Reliability and Security (QRS) Pub Date : 1900-01-01 DOI: 10.1109/QRS.2016.52

Jasmin Ramadani, S. Wagner

{"title":"Which Change Sets in Git Repositories Are Related?","authors":"Jasmin Ramadani, S. Wagner","doi":"10.1109/QRS.2016.52","DOIUrl":"https://doi.org/10.1109/QRS.2016.52","url":null,"abstract":"Software repositories contain valuable information about the history of software changes. Using data mining, researchers have identified file changes that happened together frequently to present hints for necessary changes to developers. However, not all file change sets are related. This can affect the recommendations about coupled file changes negatively by delivering irrelevant couplings to the developers. The commit time and branching characteristics of Git have not been investigated together in previous heuristics for grouping related change sets. We exploit the mappings between commit messages and issue ids for judging the relatedness of change sets. We propose a heuristic for Git and investigate the influence of two factors, the time between the commits and their branching on the relatedness of change sets using the repositories of five open-source systems using logistic regression. According to our findings, the combination of these two factors influences the relatedness of change sets. Individually measured, only the time significantly influences the relatedness, the branching itself does not. Our results support previous heuristic that also in Git repositories the commit time is important for grouping related change sets.","PeriodicalId":412973,"journal":{"name":"2016 IEEE International Conference on Software Quality, Reliability and Security (QRS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133149980","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: 1