First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007)最新文献_第5页

Comparing Local and Global Software Effort Estimation Models -- Reflections on a Systematic Review 比较局部和全局软件工作量估算模型——对系统回顾的思考

First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007) Pub Date : 2007-09-01 DOI: 10.1109/ESEM.2007.45

Stephen G. MacDonell, M. Shepperd

引用次数: 54

Using Context Distance Measurement to Analyze Results across Studies 使用上下文距离测量来分析研究结果

First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007) Pub Date : 2007-09-01 DOI: 10.1109/ESEM.2007.17

D. Cruzes, V. Basili, F. Shull, M. Jino

引用次数: 16

Estimating the Quality of Widely Used Software Products Using Software Reliability Growth Modeling: Case Study of an IBM Federated Database Project 用软件可靠性增长模型估计广泛使用的软件产品的质量:一个IBM联邦数据库项目的案例研究

First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007) Pub Date : 1900-01-01 DOI: 10.1109/ESEM.2007.67

P. Li, R. Nakagawa, R. Montroy

引用次数: 25

Filtering, Robust Filtering, Polishing: Techniques for Addressing Quality in Software Data 滤波，鲁棒滤波，抛光:处理软件数据质量的技术

First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007) Pub Date : 1900-01-01 DOI: 10.1109/ESEM.2007.70

G. Liebchen, Bhekisipho Twala, M. Shepperd, M. Cartwright, Mark Stephens

{"title":"Filtering, Robust Filtering, Polishing: Techniques for Addressing Quality in Software Data","authors":"G. Liebchen, Bhekisipho Twala, M. Shepperd, M. Cartwright, Mark Stephens","doi":"10.1109/ESEM.2007.70","DOIUrl":"https://doi.org/10.1109/ESEM.2007.70","url":null,"abstract":"Data quality is an important aspect of empirical analysis. This paper compares three noise handling methods to assess the benefit of identifying and either filtering or editing problematic instances. We compare a 'do nothing' strategy with (i) filtering, (ii) robust filtering and (Hi) filtering followed by polishing. A problem is that it is not possible to determine whether an instance contains noise unless it has implausible values. Since we cannot determine the true overall noise level we use implausible val.ues as a proxy measure. In addition to the ability to identify implausible values, we use another proxy measure, the ability to fit a classification tree to the data. The interpretation is low misclassification rates imply low noise levels. We found that all three of our data quality techniques improve upon the 'do nothing' strategy, also that the filtering and polishing was the most effective technique for dealing with noise since we eliminated the fewest data and had the lowest misclassification rates. Unfortunately the polishing process introduces new implausible values. We believe consideration of data quality is an important aspect of empirical software engineering. We have shown that for one large and complex real world data set automated techniques can help isolate noisy instances and potentially polish the values to produce better quality data for the analyst. However this work is at a preliminary stage and it assumes that the proxy measures of lity are appropriate.","PeriodicalId":124420,"journal":{"name":"First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007)","volume":"99 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":"115232620","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: 27

Agile Software Assurance: An Empirical Study 敏捷软件保证:一个实证研究

First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007) Pub Date : 1900-01-01 DOI: 10.1109/ESEM.2007.71

Noura Abbas

引用次数: 18

Evaluating Software Project Control Centers in Industrial Environments 评估工业环境中的软件项目控制中心

First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007) Pub Date : 1900-01-01 DOI: 10.1109/ESEM.2007.51

M. Ciolkowski, J. Heidrich, Jürgen Münch, F. Simon, Mathias Radicke

{"title":"Evaluating Software Project Control Centers in Industrial Environments","authors":"M. Ciolkowski, J. Heidrich, Jürgen Münch, F. Simon, Mathias Radicke","doi":"10.1109/ESEM.2007.51","DOIUrl":"https://doi.org/10.1109/ESEM.2007.51","url":null,"abstract":"Many software development organizations still lack support for detecting and reacting to critical project states in order to achieve planned goals. One means to institutionalize project control, systematic quality assurance, and management support on the basis of measurement and explicit models is the establishment of so-called software project control centers. However, there is only little experience reported in the literature with respect to setting up and applying such control centers in industrial environments. One possible reason is the lack of appropriate evaluation instruments (such as validated questionnaires and appropriate analysis procedures). Therefore, we developed an initial measurement instrument to systematically collect experience with respect to the deployment and use of control centers. Our main research goal was to develop and evaluate the measurement instrument. The instrument is based on the technology acceptance model (TAM) and customized to project controlling. This article illustrates the application and evaluation of this measurement instrument in the context of industrial case studies and provides lessons learned for further improvement. In addition, related work and conclusions for future work are given.","PeriodicalId":124420,"journal":{"name":"First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007)","volume":"11 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":"126739613","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: 18

Assessing the Quality Impact of Design Inspections 评估设计检验对质量的影响

First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007) Pub Date : 1900-01-01 DOI: 10.1109/ESEM.2007.63

C. Ackermann, F. Shull, R. Carbon, C. Denger, M. Lindvall

引用次数: 5

Usability Evaluation Based on Web Design Perspectives 基于网页设计视角的可用性评估

First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007) Pub Date : 1900-01-01 DOI: 10.1109/ESEM.2007.30

T. Conte, Jobson Luiz Massolar da Silva, E. Mendes, G. Travassos

引用次数: 72

An Approach to Outlier Detection of Software Measurement Data using the K-means Clustering Method 基于k均值聚类的软件测量数据离群点检测方法

First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007) Pub Date : 1900-01-01 DOI: 10.1109/ESEM.2007.49

Kyung-A Yoon, Oh-Sung Kwon, Doo-Hwan Bae

引用次数: 5

How Software Designs Decay: A Pilot Study of Pattern Evolution 软件设计如何衰退:模式进化的初步研究

First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007) Pub Date : 1900-01-01 DOI: 10.1109/ESEM.2007.55

C. Izurieta, J. Bieman

引用次数: 99