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Cross-Project Defect Prediction Using a Credibility Theory Based Naive Bayes Classifier.

W. Poon, K. Bennin, J. Huang, P. Phannachitta, and J. Keung. QRS, page 434-441. IEEE, (2017)

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Improving Analogy-Based Software Cost Estimation through Probabilistic-Based Similarity Measures.P. Phannachitta, J. Keung, A. Monden, and K. ichi Matsumoto. APSEC (1), page 541-546. IEEE Computer Society, (2013)978-1-4799-2143-0.The Source Code Maintenance Time Classifications from Code Smell.P. Khamkhiaw, C. Doungsa ard, and P. Phannachitta. EIDWT, volume 161 of Lecture Notes on Data Engineering and Communications Technologies, page 22-32. Springer, (2023)LSA-X: Exploiting Productivity Factors in Linear Size Adaptation for Analogy-Based Software Effort Estimation.P. Phannachitta, A. Monden, J. Keung, and K. ichi Matsumoto. IEICE Trans. Inf. Syst., 99-D (1): 151-162 (2016)Scaling up analogy-based software effort estimation: a comparison of multiple hadoop implementation schemes.P. Phannachitta, J. Keung, A. Monden, and K. ichi Matsumoto. InnoSWDev@SIGSOFT FSE, page 65-72. ACM, (2014)Filter-INC: Handling Effort-Inconsistency in Software Effort Estimation Datasets.P. Phannachitta, J. Keung, K. Bennin, A. Monden, and K. Matsumoto. APSEC, page 185-192. IEEE Computer Society, (2016)The Significant Effects of Data Sampling Approaches on Software Defect Prioritization and Classification.K. Bennin, J. Keung, A. Monden, P. Phannachitta, and S. Mensah. ESEM, page 364-373. IEEE Computer Society, (2017)Robust comparison of similarity measures in analogy based software effort estimation.P. Phannachitta. SKIMA, page 1-7. IEEE, (2017)Case consistency: a necessary data quality property for software engineering data sets.P. Phannachitta, A. Monden, J. Keung, and K. ichi Matsumoto. EASE, page 19:1-19:10. ACM, (2015)MAHAKIL: diversity based oversampling approach to alleviate the class imbalance issue in software defect prediction.K. Bennin, J. Keung, P. Phannachitta, A. Monden, and S. Mensah. ICSE, page 699. ACM, (2018)Cross-Project Defect Prediction Using a Credibility Theory Based Naive Bayes Classifier.W. Poon, K. Bennin, J. Huang, P. Phannachitta, and J. Keung. QRS, page 434-441. IEEE, (2017)

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Cross-Project Defect Prediction Using a Credibility Theory Based Naive Bayes Classifier.

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Disambiguation of "Phannachitta, Passakorn"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Cross-Project Defect Prediction Using a Credibility Theory Based Naive Bayes Classifier.

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Cross-Project Defect Prediction Using a Credibility Theory Based Naive Bayes Classifier.