IMPROVEMENT IN MUTATION TESTING USING BOLTZMANN LEARNING FOR FAULT PREDICTION IN TEST CASES
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References
] M. Mendonca, A. Wasowski, and K. Czarnecki, “Sat-based analysis of feature models is easy†in Proceedings of the 13th International Software Product Line Conference, ser. SPLC ’09. Pittsburgh, PA, USA: Carnegie Mellon University, 2009, pp. 231–240.
G. Perrouin, S. Sen, J. Klein, B. Baudry, and Y. L. Traon, “Automated and scalable t wise test case generation strategies for software product line†in ICST. IEEE Computer Society, 2010, pp. 459–468.
Mangal, B. S, “Analyzing Test Case Selection using Proposed Hybrid Technique based on BCO and Genetic Algorithm and a Comparison with ACOâ€, IJCA, 2012.
Suman and Seema, “A Genetic Algorithm for Regression Test Sequence Optimizationâ€, International Journal of Advanced Research in Computer and Communication Engineering Vol. 1, Issue 7, September 2012
Bohringer, Christoph, Rutherford, Thomas F, “Integrating Bottom-Up into Top-Down: A Mixed Complementary Approachâ€, 2003
Christian Murphy, Gail Kaiser, Ian Vo, Matt Chu “Quality Assurance of Software Applications Using the In Vivo Testing Approachâ€, 2004.
Ghiduk, A. S, “A New Software Data-Flow Testing Approach via Ant Colony Algorithms†Universal Journal of Computer Science and Engineering Technology, 1, 64-72, 2011.
Xiaoxing Yang, Ke Tang, Senior Member, IEEE, and Xin Yao, “A Learning-to-Rank Approach to Software Defect Predictionâ€, IEEE TRANSACTIONS ON RELIABILITY, VOL. 64, NO. 1, MARCH 2015
Shaik Nafeez Umar, “Software Testing Defect Prediction Model- A Practical Approachâ€, IJRET: International Journal of Research in Engineering and Technology, Volume: 02 Issue: 05 | May-2013
Muhammad Dhiauddin, Mohamed Suffian, Suhaimi Ibrahim, “A Prediction Model for System Testing Defects using Regression Analysisâ€, International Journal of Soft Computing And Software Engineering (JSCSE) e-ISSN: 2251-7545 Vol.2,o.7, 2012
Mrinal Singh Rawat, Sanjay Kumar Dubey , “Software Defect Prediction Models for Quality Improvement: A Literature Studyâ€, IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 5, No 2, September 2012 ISSN (Online): 1694-0814
Christopher Henard, Mike Papadakis∗, Gilles Perrouin, Jacques Klein, and Yves Le Traon “Assessing Software Product Line Testing via Model-based Mutation: An Application to Similarity Testingâ€, 2013