Briand, Lionel ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Labiche, Yvan
Chen, Kathy
External co-authors :
yes
Language :
English
Title :
A Multi-Objective Genetic Algorithm to Rank State-Based Test Cases
Publication date :
2013
Event name :
5th Symposium on Search Based Software Engineering (SSBSE 2013)
Event date :
2013
Audience :
International
Main work title :
5th Symposium on Search-Based Software Engineering (SSBSE 2013), Springer Lecture Notes in Computer Science
Binder, R.V.: Testing Object-Oriented Systems - Models, Patterns, and Tools. Addison-Wesley (1999)
Briand, L.C., Labiche, Y., Wang, Y.: Using Simulation to Empirically Investigate Test Coverage Criteria. In: IEEE/ACM International Conference on Software Engineering, pp. 86-95 (2004)
Ammann, P., Offutt, A.J.: Introduction to Software Testing. Cambridge University Press (2008)
Briand, L.C., Labiche, Y., Lin, Q.: Improving the Coverage Criteria of UML State Machines Using Data Flow Analysis. Software Testing, Verification and Reliability 20, 177-207 (2010)
Chow, T.S.: Testing Software Design Modeled by Finite-State Machines. IEEE Transactions on Software Engineering SE-4, 178-187 (1978)
Khalil, M., Labiche, Y.: On the Round Trip Path Testing Strategy. In: IEEE International Symposium on Software Reliability Engineering, pp. 388-397 (2010)
Lee, D., Yannakakis, M.: Principles and Methods of Testing Finite State Machines - A Survey. Proceedings of the IEEE 84, 1090-1123 (1996)
Beizer, B.: Software Testing Techniques. Van Nostrand Reinhold, New York (1990)
Kalaji, A.S., Hierons, R., Swift, S.: An integrated search-based approach for automatic testing from extended finite state machine (EFSM) models. Information and Software Technology 53, 1297-1318 (2011)
Yoo, S., Harman, M.: Regression testing minimization, selection and prioritization: a survey. Software Testing, Verification and Reliability 22, 67-120 (2012)
Rothermel, G., Untch, R.H., Chu, C., Harrold, M.J.: Prioritizing test cases for regression testing. IEEE Transactions on Software Engineering 27, 929-948 (2001)
Li, Z., Harman, M., Hierons, R.: Search Algorithms for Regression Test Case Prioritization. IEEE Transactions on Software Engineering 33, 225-237 (2007)
Harman, M.: Making the Case for MORTO: Multi Objective Regression Test Optimization. In: IEEE International Conference on Software Testing, Verification and Validation Workshops, pp. 111-114 (2011)
Zitzler, E., Laumanss, M., Thiele, L.: SPEA2: Improving the Strength Pareto Evolutionary Algorithm. Technical Report, Swiss Federal Institute of Technology, Computer Engineering and Networks Laboratory (2001)
Affenzeller, M., Winkler, S., Wagner, S., Beham, A.: Genetic Algorithms and Genetic Progrmming-Modern concetps and practical applications. CRC Press (2009)
De Jong, K.A.: Learning with Genetic Algorithms: An Overview. Machine Learning 3, 121-138 (1988)
Grefenstette, J.J.: Optimization of control parameters for genetic algorithms. IEEE Transactions on Systems, Man and Cybernetics 16, 122-128 (1986)
Pargas, R.P., Harrold, M.J., Peck, R.: Test-Data Generation Using Genetic Algorithms. Software Testing, Verification and Reliability 9, 263-282 (1999)
Tiwari, A., Vergidis, K., Majeed, B.: Evolutionary Multiobjective Optimization of Business Processes. In: IEEE Congress on Evolutionary Computation, pp. 3091-3097 (2006)
Laumanns, M., Zitzler, E., Thiele, L.: On The Effects of Archiving, Elitism, an Density Based Selection in Evolutionary Multi-objective Optimization. In: Zitzler, E., Deb, K., Thiele, L., Coello Coello, C.A., Corne, D.W. (eds.) EMO 2001. LNCS, vol. 1993, pp. 181-196. Springer, Heidelberg (2001) (Pubitemid 33241387)
Zitzler, E., Thiele, L.: Multiobjective Evolutionary Algorithms: A Comparative Case Study and the Strength Pareto Approach. IEEE Transactions on Evolutionary Computation 3 (1999)
Rivas-Dávalos, F., Irving, M.R.: An Approach Based on the Strength Pareto Evolutionary Algorithm 2 for Power Distribution System Planning. In: Coello Coello, C.A., Hernández Aguirre, A., Zitzler, E. (eds.) EMO 2005. LNCS, vol. 3410, pp. 707-720. Springer, Heidelberg (2005) (Pubitemid 41251800)
Bui, L.T., Essam, D., Abbass, H.A., Green, D.: Performance analysis of evolutionary multi-objective optimization algorithms in noisy environment. In: Asia Pacific Symposium on Intelligent and Evolutionary Systems, pp. 29-39 (2004)
Elbaum, S., Malishevsky, A.G., Rothermel, G.: Incorporating varying test costs and fault severities into test case prioritization. In: ACM/IEEE International Conference on Software Engineering, pp. 329-338 (2001)
Hutchins, M., Froster, H., Goradia, T., Ostrand, T.: Experiments on the Effectiveness of Dataflow- and Controlflow-Based Test Adequacy Criteria. In: ACM/IEEE International Conference on Software Engineering, pp. 191-200 (1994)
Ma, Y.-S., Offutt, A.J., Kwon, Y.-R.: MuJava: A Mutation System for Java. In: ACM/IEEE International Conference on Software Engineering, pp. 827-830 (2006)
Andrews, J.H., Briand, L.C., Labiche, Y., Namin, A.S.: Using Mutation Analysis for Assessing and Comparing Testing Coverage Criteria. IEEE Transactions on Software Engineering 32, 608-624 (2006)
Gomaa, H.: Designing Concurrent, Distributed, and Real-Time Applications with UML. Addison Wesley (2000)
Kargupta, H., Deb, K., Goldberg, D.E.: Ordering genetic algorithms and deception. In: Parallel Problem Solving from Nature, pp. 47-56 (1992)
