Application of Random Forest in Predicting Fault-Prone Classes
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A. Kaur | R. Malhotra | A. Kaur | R. Malhotra
[1] Joydeep Ghosh,et al. Investigation of the random forest framework for classification of hyperspectral data , 2005, IEEE Transactions on Geoscience and Remote Sensing.
[2] Taghi M. Khoshgoftaar,et al. Application of neural networks to software quality modeling of a very large telecommunications system , 1997, IEEE Trans. Neural Networks.
[3] Lionel C. Briand,et al. Exploring the relationships between design measures and software quality in object-oriented systems , 2000, J. Syst. Softw..
[4] Yuming Zhou,et al. Empirical Analysis of Object-Oriented Design Metrics for Predicting High and Low Severity Faults , 2006, IEEE Transactions on Software Engineering.
[5] Bojan Cukic,et al. Robust prediction of fault-proneness by random forests , 2004, 15th International Symposium on Software Reliability Engineering.
[6] Letha H. Etzkorn,et al. Empirical Validation of Three Software Metrics Suites to Predict Fault-Proneness of Object-Oriented Classes Developed Using Highly Iterative or Agile Software Development Processes , 2007, IEEE Transactions on Software Engineering.
[7] Tibor Gyimóthy,et al. Empirical validation of object-oriented metrics on open source software for fault prediction , 2005, IEEE Transactions on Software Engineering.
[8] Vic Barnett,et al. Outliers in Statistical Data , 1980 .
[9] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[10] Joanne Bechta Dugan,et al. Empirical Analysis of Software Fault Content and Fault Proneness Using Bayesian Methods , 2007, IEEE Transactions on Software Engineering.
[11] Adam A. Porter,et al. Empirically guided software development using metric-based classification trees , 1990, IEEE Software.
[12] Martin Hitz,et al. Measuring coupling and cohesion in object-oriented systems , 1995 .
[13] Mark A. Hall,et al. Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning , 1999, ICML.
[14] Sallie M. Henry,et al. Object-oriented metrics that predict maintainability , 1993, J. Syst. Softw..
[15] David P. Darcy,et al. Managerial Use of Metrics for Object-Oriented Software: An Exploratory Analysis , 1998, IEEE Trans. Software Eng..
[16] Ian H. Witten,et al. Data mining - practical machine learning tools and techniques, Second Edition , 2005, The Morgan Kaufmann series in data management systems.
[17] Weizhong Yan,et al. Application of Random Forest to Aircraft Engine Fault Diagnosis , 2006, The Proceedings of the Multiconference on "Computational Engineering in Systems Applications".
[18] R. Suganya,et al. Data Mining Concepts and Techniques , 2010 .
[19] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[20] Ian Witten,et al. Data Mining , 2000 .
[21] N Sambasivarao. Software reuse metrics for object oriented systems , 2007 .
[22] Karim O. Elish,et al. Predicting defect-prone software modules using support vector machines , 2008, J. Syst. Softw..
[23] Taghi M. Khoshgoftaar,et al. Using regression trees to classify fault-prone software modules , 2002, IEEE Trans. Reliab..
[24] Rolph E. Anderson,et al. Multivariate data analysis (4th ed.): with readings , 1995 .
[25] Yali Amit,et al. Shape Quantization and Recognition with Randomized Trees , 1997, Neural Computation.
[26] J. Hanley,et al. The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.
[27] Joydeep Ghosh,et al. Random forests of binary hierarchical classifiers for analysis of hyperspectral data , 2003, IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, 2003.
[28] Thomas G. Dietterich. Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms , 1998, Neural Computation.
[29] Chris F. Kemerer,et al. A Metrics Suite for Object Oriented Design , 2015, IEEE Trans. Software Eng..
[30] Akif Günes Koru,et al. An empirical comparison and characterization of high defect and high complexity modules , 2003, J. Syst. Softw..
[31] Li Jun,et al. Identifying Skype Traffic by Random Forest , 2007, 2007 International Conference on Wireless Communications, Networking and Mobile Computing.
[32] Brian Henderson-Sellers,et al. Object-oriented metrics: measures of complexity , 1995 .
[33] Laurent Heutte,et al. Using Random Forests for Handwritten Digit Recognition , 2007 .
[34] Richard H. Carver,et al. An Evaluation of the MOOD Set of Object-Oriented Software Metrics , 1998, IEEE Trans. Software Eng..
[35] Lionel C. Briand,et al. Replicated Case Studies for Investigating Quality Factors in Object-Oriented Designs , 2001, Empirical Software Engineering.
[36] Lionel C. Briand,et al. A Unified Framework for Cohesion Measurement in Object-Oriented Systems , 1997, Proceedings Fourth International Software Metrics Symposium.
[37] Mark Lorenz. Object-Oriented Software Metrics , 1994 .
[38] Michelle Cartwright,et al. An Empirical Investigation of an Object-Oriented Software System , 2000, IEEE Trans. Software Eng..
[39] Arvinder Kaur,et al. Empirical analysis for investigating the effect of object-oriented metrics on fault proneness: a replicated case study , 2009 .
[40] M. Stone. Cross‐Validatory Choice and Assessment of Statistical Predictions , 1976 .
[41] Curtis R. Cook,et al. Use of Factor Analysis to Develop OOP Software Complexity Metrics , 1994 .
[42] Hongfang Liu,et al. Building effective defect-prediction models in practice , 2005, IEEE Software.
[43] Lionel C. Briand,et al. A Unified Framework for Coupling Measurement in Object-Oriented Systems , 1999, IEEE Trans. Software Eng..
[44] M. Munot,et al. Research Methodology , 2019, Storytelling with Data in Healthcare.
[45] J. Hamers,et al. [Methods and techniques]. , 1997, Verpleegkunde.
[46] David P. Tegarden,et al. A software complexity model of object-oriented systems , 1995, Decis. Support Syst..
[47] Johannes R. Sveinsson,et al. Random Forest classification of multisource remote sensing and geographic data , 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.
[48] Chris F. Kemerer,et al. A Metrics Suite for Object Oriented Design , 2015, IEEE Trans. Software Eng..
[49] K. K. Aggarwal,et al. Empirical Study of Object-Oriented Metrics , 2006, J. Object Technol..
[50] Victor R. Basili,et al. A Validation of Object-Oriented Design Metrics as Quality Indicators , 1996, IEEE Trans. Software Eng..
[51] Norman E. Fenton,et al. Quantitative Analysis of Faults and Failures in a Complex Software System , 2000, IEEE Trans. Software Eng..
[52] Brian Henderson-Sellers,et al. Object-Oriented Metrics , 1993, TOOLS.
[53] Haruhiko Kaiya,et al. Adapting a fault prediction model to allow inter languagereuse , 2008, PROMISE '08.
[54] M. Pal,et al. Random forests for land cover classification , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).
[55] Shigeo Abe DrEng. Pattern Classification , 2001, Springer London.
[56] Chris F. Kemerer,et al. Towards a metrics suite for object oriented design , 2017, OOPSLA '91.
[57] David W. Hosmer,et al. Applied Logistic Regression , 1991 .