Proceedings Eighth IEEE Symposium on Software Metrics最新文献

Entropy-metric for systems with COTS software 基于COTS软件的系统熵度量

Proceedings Eighth IEEE Symposium on Software Metrics Pub Date : 2002-08-07 DOI: 10.1109/METRIC.2002.1011336

N. Chapin

引用次数: 18

Estimating software project effort by analogy based on linguistic values 通过基于语言价值的类比来估算软件项目的工作量

Proceedings Eighth IEEE Symposium on Software Metrics Pub Date : 2002-06-04 DOI: 10.1109/METRIC.2002.1011322

A. Idri, A. Abran, T. Khoshgoftaar

引用次数: 112

Program risk definition via linear programming techniques 通过线性规划技术定义项目风险

Proceedings Eighth IEEE Symposium on Software Metrics Pub Date : 2002-06-04 DOI: 10.1109/METRIC.2002.1011338

M. Pighin, V. Podgorelec, P. Kokol

{"title":"Program risk definition via linear programming techniques","authors":"M. Pighin, V. Podgorelec, P. Kokol","doi":"10.1109/METRIC.2002.1011338","DOIUrl":"https://doi.org/10.1109/METRIC.2002.1011338","url":null,"abstract":"The paper defines an innovative experimental metric which operates on a series of structural parameters of programs: by applying linear programming techniques on these parameters it is possible to define a measurement which can predict the risk level of a program. The new proposed model represents the software modules as points in a dimensional space (every dimension is one of the structural attributes for each module). Starting from this model the problem to find-out the more dangerous files is brought-back to the problem to separate two sets. The classification procedure is divided in two steps: the learning phase which is used to tune the model on the specified environment, and the effective selection which is the real measure. Our engine was built using the MSM-T method (multisurface method tree), a greedy algorithm which iteratively divides the space in polyhedral regions till it reaches a void set. It is thus possible to divide the n-dimensional space and find out the risk-regions of the space which represent the dangerous modules. All the process was tested in an industrial application, to validate experimentally the soundness of the methodology.","PeriodicalId":165815,"journal":{"name":"Proceedings Eighth IEEE Symposium on Software Metrics","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129662249","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: 6

Gemini: maintenance support environment based on code clone analysis Gemini:基于代码克隆分析的维护支持环境

Proceedings Eighth IEEE Symposium on Software Metrics Pub Date : 2002-06-04 DOI: 10.1109/METRIC.2002.1011326

Yasushi Ueda, Toshihiro Kamiya, S. Kusumoto, Katsuro Inoue

引用次数: 110

Software inspection benchmarking-a qualitative and quantitative comparative opportunity 软件检查基准——一个定性和定量比较的机会

Proceedings Eighth IEEE Symposium on Software Metrics Pub Date : 2002-06-04 DOI: 10.1109/METRIC.2002.1011331

C. Wohlin, A. Aurum, H. Petersson, F. Shull, M. Ciolkowski

引用次数: 49

Investigating the influence of inspector capability factors with four inspection techniques on inspection performance 用四种检验技术考察检验人员能力因素对检验绩效的影响

Proceedings Eighth IEEE Symposium on Software Metrics Pub Date : 2002-06-04 DOI: 10.1109/METRIC.2002.1011330

S. Biffl, M. Halling

引用次数: 36

A new approach to factorization - introducing metrics 一种新的分解方法——引入度量

Proceedings Eighth IEEE Symposium on Software Metrics Pub Date : 2002-06-04 DOI: 10.1109/METRIC.2002.1011341

M. Dao, M. Huchard, T. Libourel, Cyril Roume, Hervé Leblanc

引用次数: 22

Tree-based software quality estimation models for fault prediction 基于树的故障预测软件质量估计模型

Proceedings Eighth IEEE Symposium on Software Metrics Pub Date : 2002-06-04 DOI: 10.1109/METRIC.2002.1011339

T. Khoshgoftaar, Naeem Seliya

{"title":"Tree-based software quality estimation models for fault prediction","authors":"T. Khoshgoftaar, Naeem Seliya","doi":"10.1109/METRIC.2002.1011339","DOIUrl":"https://doi.org/10.1109/METRIC.2002.1011339","url":null,"abstract":"Complex high-assurance software systems depend highly on reliability of their underlying software applications. Early identification of high-risk modules can assist in directing quality enhancement efforts to modules that are likely to have a high number of faults. Regression tree models are simple and effective as software quality prediction models, and timely predictions from such models can be used to achieve high software reliability. This paper presents a case study from our comprehensive evaluation (with several large case studies) of currently available regression tree algorithms for software fault prediction. These are, CART-LS (least squares), S-PLUS, and CART-LAD (least absolute deviation). The case study presented comprises of software design metrics collected from a large network telecommunications system consisting of almost 13 million lines of code. Tree models using design metrics are built to predict the number of faults in modules. The algorithms are also compared based on the structure and complexity of their tree models. Performance metrics, average absolute and average relative errors are used to evaluate fault prediction accuracy.","PeriodicalId":165815,"journal":{"name":"Proceedings Eighth IEEE Symposium on Software Metrics","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120958751","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: 157

Experience from replicating empirical studies on prediction models 复制预测模型的实证研究经验

Proceedings Eighth IEEE Symposium on Software Metrics Pub Date : 2002-06-04 DOI: 10.1109/METRIC.2002.1011340

M. C. Ohlsson, P. Runeson

引用次数: 42

How valuable is company-specific data compared to multi-company data for software cost estimation? 对于软件成本估算，公司特定数据与多公司数据相比有多大价值?

Proceedings Eighth IEEE Symposium on Software Metrics Pub Date : 2002-06-04 DOI: 10.1109/METRIC.2002.1011342

I. Wieczorek, M. Ruhe

{"title":"How valuable is company-specific data compared to multi-company data for software cost estimation?","authors":"I. Wieczorek, M. Ruhe","doi":"10.1109/METRIC.2002.1011342","DOIUrl":"https://doi.org/10.1109/METRIC.2002.1011342","url":null,"abstract":"This paper investigates the pertinent question whether multi-organizational data is valuable for software project cost estimation. Local, company-specific data is widely believed to provide a better basis for accurate estimates. On the other hand, multi-organizational databases provide an opportunity for fast data accumulation and shared. information benefits. Therefore, this paper trades off the potential advantages and drawbacks of using local data as compared to multi-organizational data. Motivated by the results from previous investigations, we further analyzed a large cost database from Finland that collects standard cost factors and includes information on six individual companies. Each of these companies provided data for more than ten projects. This information was used to compare the accuracy between company-specific (local) and company-external (global) cost models. They show that company-specific models seem not to yield better results than the company external models. Our results are based on applying two standard statistical estimation methods (OLS-regression, analysis of variance) and analogy-based estimation.","PeriodicalId":165815,"journal":{"name":"Proceedings Eighth IEEE Symposium on Software Metrics","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123731153","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: 66