MODELING SOFTWARE QUALITY WITH CLASSIFICATION TREES
Taghi M. Khoshgoftaar, Edward B. Allen · Series on quality, reliability and engineering statistics · 2001
Series on Quality, Reliability and Engineering StatisticsRecent Advances in Reliability and Quality Engineering, pp. 247-270 (2001) No AccessMODELING SOFTWARE QUALITY WITH CLASSIFICATION TREESTAGHI M. KHOSHGOFTAAR and EDWARD B. ALLENTAGHI M. KHOSHGOFTAARFlorida Atlantic University, Boca Raton, Florida, USA and EDWARD B. ALLENFlorida Atlantic University, Boca Raton, Florida, USAhttps://doi.org/10.1142/9789812811868_0015Cited by:21 PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail Abstract: The following sections are included: Introduction Software Quality Modeling Classification Trees Using a Classification Tree: An Example Building a Classification Tree Using CART Other Classification Tree Algorithms Modeling Methodology Empirical Case Study System Description Model Based on Product and Process Metrics Model Based on Product Metrics Model Based on Best Single Metric Discussion of Empirical Results Conclusions Acknowledgments References FiguresReferencesRelatedDetailsCited By 21Neural Network Based Test Case Prioritization in Software EngineeringAkshit Thakur and Gitika Sharma28 November 2018Cross-Validation-Based Association Rule Prioritization Metric for Software Defect CharacterizationTakashi WATANABE, Akito MONDEN, Zeynep YÜCEL, Yasutaka KAMEI and Shuji MORISAKI1 Sep 2018 | IEICE Transactions on Information and Systems, Vol. E101.D, No. 9Pre-training of an artificial neural network for software fault predictionMoein Owhadi-Kareshk, Yasser Sedaghat and Mohammad-R. Akbarzadeh-T.1 Oct 2017Revisiting unsupervised learning for defect predictionWei Fu and Tim Menzies21 August 2017Comparative analysis of statistical and machine learning methods for predicting faulty modulesRuchika Malhotra1 Aug 2014 | Applied Soft Computing, Vol. 21A novel fuzzy classification to enhance software regression testing Zhiwei Xu, Yi Liu and Kehan Gao1 Apr 2013Defect prediction from static code features: current results, limitations, new approachesTim Menzies, Zach Milton, Burak Turhan, Bojan Cukic and Yue Jiang et al.20 May 2010 | Automated Software Engineering, Vol. 17, No. 4An Integrated Approach to Detect Fault-Prone Modules Using Complexity and Text Feature MetricsOsamu Mizuno and Hideaki Hata1 Jan 2010Data Mining Static Code Attributes to Learn Defect PredictorsTim Menzies, Jeremy Greenwald and Art Frank1 Jan 2007 | IEEE Transactions on Software Engineering, Vol. 33, No. 1Building high-quality software fault predictorsAllen P. Nikora and John C. Munson1 January 2006 | Software: Practice and Experience, Vol. 36, No. 9Assessment of a New Three-Group Software Quality Classification Technique: An Empirical Case StudyTaghi M. Khoshgoftaar, Naeem Seliya and Kehan Gao1 Apr 2005 | Empirical Software Engineering, Vol. 10, No. 2An approach to the measurement of software evolutionAllen P. Nikora and John C. Munson1 January 2005 | Journal of Software Maintenance and Evolution: Research and Practice, Vol. 17, No. 1Software Quality Classification Modeling Using the SPRINT Decision Tree AlgorithmTaghi M. Khoshgoftaar () and Naeem Seliya ()21 November 2011 | International Journal on Artificial Intelligence Tools, Vol. 12, No. 03Application of Fuzzy Rule Extraction to Minimize the Costs of Misclassification on Software Quality ModelingZhiwei Xu and Taghi M. Khoshgoftaar1 Jan 2003PREDICTING FAULT-PRONE MODULES IN EMBEDDED SYSTEMS USING ANALOGY-BASED CLASSIFICATION MODELSTAGHI M. KHOSHGOFTAAR (), BOJAN CUKIC () and NAEEM SELIYA ()21 November 2011 | International Journal of Software Engineering and Knowledge Engineering, Vol. 12, No. 02The effects of fault counting methods on fault model qualityA.P. Nikora and J.C. MunsonUnderstanding the nature of software evolutionA.P. Nikora and J.C. MunsonImproving usefulness of software quality classification models based on Boolean discriminant functionsT.M. Khoshgoftaar and N. SeliyaAn empirical study of the impact of count models predictions on module-order modelsT.M. Khoshgoftaar, E. Geleyn and K. GaoTree-based software quality estimation models for fault predictionT.M. Khoshgoftaar and N. SeliyaDeveloping fault predictors for evolving software systemsA.P. Nikora and J.C. Munson Recent Advances in Reliability and Quality EngineeringMetrics History PDF download