2009 3rd International Symposium on Empirical Software Engineering and Measurement最新文献_第2页

Quality models in practice: A preliminary analysis 质量模型在实践中的初步分析

2009 3rd International Symposium on Empirical Software Engineering and Measurement Pub Date : 2009-10-15 DOI: 10.1109/ESEM.2009.5316003

S. Wagner, K. Lochmann, Sebastian Winter, A. Goeb, Michael Kläs

引用次数: 33

Empirical results from the transformation of a large commercial technical computing environment 实证结果来自于对一个大型商业技术计算环境的改造

2009 3rd International Symposium on Empirical Software Engineering and Measurement Pub Date : 2009-10-15 DOI: 10.1109/ESEM.2009.5316000

R. Razdan, S. Esposito, J. Lawrence, Peter Conner

引用次数: 1

Using differences among replications of software engineering experiments to gain knowledge 利用软件工程实验重复之间的差异来获取知识

2009 3rd International Symposium on Empirical Software Engineering and Measurement Pub Date : 2009-10-15 DOI: 10.1109/MSR.2010.5463362

Natalia Juristo Juzgado, S. Vegas

{"title":"Using differences among replications of software engineering experiments to gain knowledge","authors":"Natalia Juristo Juzgado, S. Vegas","doi":"10.1109/MSR.2010.5463362","DOIUrl":"https://doi.org/10.1109/MSR.2010.5463362","url":null,"abstract":"In no science or engineering discipline does it make sense to speak of isolated experiments. The results of a single experiment cannot be viewed as representative of the underlying reality. The concept of experiment is closely related to replication. Experiment replication is the repetition of an experiment to double-check its results. Multiple replications of an experiment increase the credibility of its results. Software engineering has tried its hand at the identical repetition of experiments in the way of the natural sciences (physics, chemistry, etc.). After numerous attempts over the years, excepting experiments repeated by the same researchers at the same site, no exact replications have yet been achieved. One key reason for this is the complexity of the software development setting. This complexity prevents the many experimental conditions from being reproduced identically. This paper reports research into whether non-exact replications can be of any use. We propose a process that allows researchers to generate new knowledge when running non-exact replications. To illustrate the advantages of the proposed process, two different replications of an experiment are shown.","PeriodicalId":128479,"journal":{"name":"2009 3rd International Symposium on Empirical Software Engineering and Measurement","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117274701","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: 75

Analyzing video data: A study of programming behavior under two software engineering paradigms 分析视频数据:两种软件工程范式下编程行为的研究

2009 3rd International Symposium on Empirical Software Engineering and Measurement Pub Date : 2009-10-15 DOI: 10.1109/ESEM.2009.5315995

Huijuan Wu, Yuepu Guo, C. Seaman

引用次数: 6

An empirical study on bug assignment automation using Chinese bug data 基于中文bug数据的bug分配自动化实证研究

2009 3rd International Symposium on Empirical Software Engineering and Measurement Pub Date : 2009-10-15 DOI: 10.1109/ESEM.2009.5315994

Zhongpeng Lin, Fengdi Shu, Ye Yang, Chenyong Hu, Qing Wang

引用次数: 57

Predicting defects with program dependencies 用程序依赖预测缺陷

2009 3rd International Symposium on Empirical Software Engineering and Measurement Pub Date : 2009-10-15 DOI: 10.1109/ESEM.2009.5316024

Thomas Zimmermann, Nachiappan Nagappan

引用次数: 55

Quantitative analysis of information security interdependency between industrial sectors 产业部门间信息安全相互依赖的定量分析

2009 3rd International Symposium on Empirical Software Engineering and Measurement Pub Date : 2009-10-15 DOI: 10.1109/ESEM.2009.5314218

Hideyuki Tanaka

引用次数: 12

A detailed examination of the correlation between imports and failure-proneness of software components 详细检查软件组件的导入和易出错性之间的关系

2009 3rd International Symposium on Empirical Software Engineering and Measurement Pub Date : 2009-10-15 DOI: 10.1109/ESEM.2009.5316047

Ekwa Duala-Ekoko, M. Robillard

{"title":"A detailed examination of the correlation between imports and failure-proneness of software components","authors":"Ekwa Duala-Ekoko, M. Robillard","doi":"10.1109/ESEM.2009.5316047","DOIUrl":"https://doi.org/10.1109/ESEM.2009.5316047","url":null,"abstract":"Research has provided evidence that type usage in source files is correlated with the risk of failure of software components. Previous studies that investigated the correlation between type usage and component failure assigned equal blame to all the types imported by a component with a failure history, regardless of whether a type is used in the component, or associated to its failures. A failure-prone component may use a type, but it is not always the case that the use of this type has been responsible for any of its failures. To gain more insight about the correlation between type usage and component failure, we introduce the concept of a failure-associated type to represent the imported types referenced within methods fixed due to failures. We conducted two studies to investigate the tradeoffs between the equal-blame approach and the failure-associated type approach. Our results indicate that few of the types or packages imported by a failure-prone component are associated with its failures — less than 25% of the type imports, and less than 55% of the packages whose usage were reported to be highly correlated with failures by the equal-blame approach, were actually correlated with failures when we looked at the failure-associated types.","PeriodicalId":128479,"journal":{"name":"2009 3rd International Symposium on Empirical Software Engineering and Measurement","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117072481","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: 2

Usability testing with total-effort metrics 使用总努力指标进行可用性测试

2009 3rd International Symposium on Empirical Software Engineering and Measurement Pub Date : 2009-10-15 DOI: 10.1109/ESEM.2009.5316022

L. Feldman, Carl J. Mueller, D. Tamir, Oleg V. Komogortsev

引用次数: 5

Applying support vector regression for web effort estimation using a cross-company dataset 使用跨公司数据集对web工作量估计应用支持向量回归

2009 3rd International Symposium on Empirical Software Engineering and Measurement Pub Date : 2009-10-15 DOI: 10.1109/ESEM.2009.5315991

A. Corazza, S. Martino, F. Ferrucci, C. Gravino, E. Mendes

{"title":"Applying support vector regression for web effort estimation using a cross-company dataset","authors":"A. Corazza, S. Martino, F. Ferrucci, C. Gravino, E. Mendes","doi":"10.1109/ESEM.2009.5315991","DOIUrl":"https://doi.org/10.1109/ESEM.2009.5315991","url":null,"abstract":"Support Vector Regression (SVR) is a new generation of Machine Learning algorithms, suitable for predictive data modeling problems. The objective of this paper is to investigate the effectiveness of SVR for Web effort estimation, in particular when dealing with a cross-company dataset. To gain a deeper insight on the method, we carried out an empirical study using four kernels for SVR, namely linear, polynomial, Gaussian, and sigmoid. Moreover, we used two variables' preprocessing strategies (normalization and logarithmic), and two different dependent variables (effort and inverse effort). As a result, SVR was applied using six different configurations for each kernel. As for the dataset, we employed the Tukutuku database, which is widely adopted in Web effort estimation studies. A hold-out approach was adopted to evaluate the prediction accuracy for all the configurations, using two training sets, each containing data on 130 projects randomly selected, and two test sets, each containing the remaining 65 projects. As benchmark, SVR-based predictions were also compared to predictions obtained using Manual StepWise Regression, Case-Based Reasoning, and Bayesian Networks. Our results suggest that SVR performed well, since on the first hold-out, the linear kernel with a logarithmic transformation of variables provided significantly superior prediction accuracy than all the other techniques, while for the second hold-out, the Gaussian kernel achieved significantly superior predictions than all other techniques, except for Manual StepWise Regression.","PeriodicalId":128479,"journal":{"name":"2009 3rd International Symposium on Empirical Software Engineering and Measurement","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129471691","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: 23