An efficient strategy for covering array construction with fuzzy logic-based adaptive swarm optimization for software testing use
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[1] Jing J. Liang,et al. Comprehensive learning particle swarm optimizer for global optimization of multimodal functions , 2006, IEEE Transactions on Evolutionary Computation.
[2] Mario Cannataro,et al. Protein-to-protein interactions: Technologies, databases, and algorithms , 2010, CSUR.
[3] Hareton K. N. Leung,et al. A survey of combinatorial testing , 2011, CSUR.
[4] Bestoun S. Ahmed,et al. Generating combinatorial test cases using Simplified Swarm Optimization (SSO) algorithm for automated GUI functional testing , 2014 .
[5] Charles J. Colbourn,et al. One-test-at-a-time heuristic search for interaction test suites , 2007, GECCO '07.
[6] Yu Lei,et al. IPOG-IPOG-D: efficient test generation for multi-way combinatorial testing , 2008 .
[7] Charles J. Colbourn,et al. The density algorithm for pairwise interaction testing: Research Articles , 2007 .
[8] Myra B. Cohen,et al. Evaluating improvements to a meta-heuristic search for constrained interaction testing , 2011, Empirical Software Engineering.
[9] Huimin Wang,et al. Parameter tuning of particle swarm optimization by using Taguchi method and its application to motor design , 2014, 2014 4th IEEE International Conference on Information Science and Technology.
[10] Tatsuhiro Tsuchiya,et al. Using artificial life techniques to generate test cases for combinatorial testing , 2004, Proceedings of the 28th Annual International Computer Software and Applications Conference, 2004. COMPSAC 2004..
[11] A. Barrett,et al. A Combinatorial Test Suite Generator for Gray-Box Testing , 2009, 2009 Third IEEE International Conference on Space Mission Challenges for Information Technology.
[12] Bestoun S. Ahmed,et al. Using the combinatorial optimization approach for DVS in high performance processors , 2013, 2013 The International Conference on Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE).
[13] Stefan Lessmann,et al. Tuning metaheuristics: A data mining based approach for particle swarm optimization , 2011, Expert Syst. Appl..
[14] Xiang Chen,et al. Variable Strength Interaction Testing with an Ant Colony System Approach , 2009, 2009 16th Asia-Pacific Software Engineering Conference.
[15] Charles J. Colbourn,et al. Merging covering arrays and compressing multiple sequence alignments , 2009, Discret. Appl. Math..
[16] Z. ZamliKamal,et al. T-Way Testing Strategies: A Critical Survey and Analysis , 2013 .
[17] D. Richard Kuhn,et al. Pseudo-Exhaustive Testing for Software , 2006, 2006 30th Annual IEEE/NASA Software Engineering Workshop.
[18] Oscar Castillo,et al. Particle swarm optimization with dynamic parameter adaptation using interval type-2 fuzzy logic for benchmark mathematical functions , 2013, 2013 World Congress on Nature and Biologically Inspired Computing.
[19] Kamal Zuhairi Zamli,et al. A variable strength interaction test suites generation strategy using Particle Swarm Optimization , 2011, J. Syst. Softw..
[20] Riccardo Poli,et al. Analysis of the publications on the applications of particle swarm optimisation , 2008 .
[21] Chee Peng Lim,et al. Constructing a t-way interaction test suite using the Particle Swarm Optimization approach , 2012 .
[22] Jun Yan,et al. Generating combinatorial test suite using combinatorial optimization , 2014, J. Syst. Softw..
[23] Bestoun S. Ahmed,et al. Comparison of metahuristic test generation strategies based on interaction elements coverage criterion , 2011, 2011 IEEE Symposium on Industrial Electronics and Applications.
[24] Baowen Xu,et al. Greedy Heuristic Algorithms to Generate Variable Strength Combinatorial Test Suite , 2008, 2008 The Eighth International Conference on Quality Software.
[25] Yu Lei,et al. In-parameter-order: a test generation strategy for pairwise testing , 1998, Proceedings Third IEEE International High-Assurance Systems Engineering Symposium (Cat. No.98EX231).
[26] Boris Beizer,et al. Software Testing Techniques , 1983 .
[27] Gerard J. Holzmann,et al. The Model Checker SPIN , 1997, IEEE Trans. Software Eng..
[28] Myra B. Cohen,et al. Combinatorial Interaction Regression Testing: A Study of Test Case Generation and Prioritization , 2007, 2007 IEEE International Conference on Software Maintenance.
[29] Jing Zhang,et al. Distributed event-triggered control of multiagent systems with general linear dynamics , 2014 .
[30] Oscar Castillo,et al. A Comparative Study of Membership Functions for an Interval Type-2 Fuzzy System used to Dynamic Parameter Adaptation in Particle Swarm Optimization , 2014, Recent Advances on Hybrid Approaches for Designing Intelligent Systems.
[31] Myra B. Cohen,et al. A framework of greedy methods for constructing interaction test suites , 2005, Proceedings. 27th International Conference on Software Engineering, 2005. ICSE 2005..
[32] Jacek M. Zurada,et al. An approach to multimodal biomedical image registration utilizing particle swarm optimization , 2004, IEEE Transactions on Evolutionary Computation.
[33] Kari J. Nurmela,et al. Upper bounds for covering arrays by tabu search , 2004, Discret. Appl. Math..
[34] Ching-Shui Cheng,et al. Orthogonal Arrays with Variable Numbers of Symbols , 1980 .
[35] Myra B. Cohen,et al. Moving Forward with Combinatorial Interaction Testing , 2014, Computer.
[36] Boris Beizer,et al. Software testing techniques (2. ed.) , 1990 .
[37] Narayana Prasad Padhy,et al. Comparison of Particle Swarm Optimization and Genetic Algorithm for TCSC-based Controller Design , 2007 .
[38] J. Czerwonka. Pairwise Testing in Real World Practical Extensions to Test Case Generators , 2006 .
[39] Bestoun S. Ahmed,et al. Achievement of minimized combinatorial test suite for configuration-aware software functional testing using the Cuckoo Search algorithm , 2015, Inf. Softw. Technol..
[40] Antonino Staiano,et al. A fuzzy decision system for genetically modified plant environmental risk assessment using Mamdani inference , 2015, Expert Syst. Appl..
[41] Myra B. Cohen,et al. Designing Test Suites for Software Interactions Testing , 2004 .
[42] Chee Peng Lim,et al. Application of Particle Swarm Optimization to uniform and variable strength covering array construction , 2012, Appl. Soft Comput..
[43] Yu Lei,et al. Refining the In-Parameter-Order Strategy for Constructing Covering Arrays , 2008, Journal of research of the National Institute of Standards and Technology.
[44] Jeff Yu Lei,et al. IPOG: A General Strategy for T-Way Software Testing , 2007, 14th Annual IEEE International Conference and Workshops on the Engineering of Computer-Based Systems (ECBS'07).
[45] Xiang Chen,et al. Applying Particle Swarm Optimization to Pairwise Testing , 2010, 2010 IEEE 34th Annual Computer Software and Applications Conference.
[46] Kamal Z. Zamli,et al. A Test Generation Strategy For Variable-Strength and T-way Interaction , 2014 .
[47] Oscar Castillo,et al. Optimal design of fuzzy classification systems using PSO with dynamic parameter adaptation through fuzzy logic , 2013, Expert Syst. Appl..
[48] Pat Langley,et al. Artificial Intelligence and Intelligent Systems , 2006 .
[49] Riccardo Poli,et al. Particle Swarms: The Second Decade , 2008 .
[50] Myra B. Cohen,et al. GUI Interaction Testing: Incorporating Event Context , 2011, IEEE Transactions on Software Engineering.
[51] Alan Hartman,et al. Problems and algorithms for covering arrays , 2004, Discret. Math..
[52] Charles J. Colbourn,et al. The density algorithm for pairwise interaction testing , 2007, Softw. Test. Verification Reliab..
[53] Bassem Jarboui,et al. Combinatorial particle swarm optimization (CPSO) for partitional clustering problem , 2007, Appl. Math. Comput..
[54] Oscar Castillo,et al. A survey on nature-inspired optimization algorithms with fuzzy logic for dynamic parameter adaptation , 2014, Expert Syst. Appl..
[55] Maurice Clerc,et al. The particle swarm - explosion, stability, and convergence in a multidimensional complex space , 2002, IEEE Trans. Evol. Comput..
[56] Angelo Gargantini,et al. IPO-s: Incremental Generation of Combinatorial Interaction Test Data Based on Symmetries of Covering Arrays , 2009, 2009 International Conference on Software Testing, Verification, and Validation Workshops.
[57] Ashish Jain,et al. Modeling requirements for combinatorial software testing , 2005, ACM SIGSOFT Softw. Eng. Notes.
[58] Myra B. Cohen,et al. Interaction testing of highly-configurable systems in the presence of constraints , 2007, ISSTA '07.
[59] Hareton K. N. Leung,et al. Combinatorial testing, random testing, and adaptive random testing for detecting interaction triggered failures , 2015, Inf. Softw. Technol..
[60] Oscar Castillo,et al. Fuzzy Logic for Parameter Tuning in Evolutionary Computation and Bio-inspired Methods , 2010, MICAI.
[61] Atif M. Memon,et al. Generating Event Sequence-Based Test Cases Using GUI Runtime State Feedback , 2010, IEEE Transactions on Software Engineering.
[62] Bestoun S. Ahmed,et al. Application of combinatorial interaction design for DC servomotor PID controller tuning , 2014 .
[63] Gang Xu,et al. An adaptive parameter tuning of particle swarm optimization algorithm , 2013, Appl. Math. Comput..
[64] Joachim Wegener,et al. Applying particle swarm optimization to software testing , 2007, GECCO '07.
[65] Oscar Cordón,et al. International Journal of Approximate Reasoning a Historical Review of Evolutionary Learning Methods for Mamdani-type Fuzzy Rule-based Systems: Designing Interpretable Genetic Fuzzy Systems , 2022 .
[66] James Kennedy,et al. Particle swarm optimization , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.