Partical Swarm Optimization Applied To The Atomic Cluster Optimization Problem
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
Comprehensive learning particle swarm optimizer for global optimization of multimodal functions
IEEE Transactions on Evolutionary Computation
Model Transformation as an Optimization Problem
MoDELS '08 Proceedings of the 11th international conference on Model Driven Engineering Languages and Systems
Towards software test data generation using discrete quantum particle swarm optimization
Proceedings of the 3rd India software engineering conference
Randomized constraint solvers: a comparative study
Innovations in Systems and Software Engineering
Evolutionary framework for test of autonomous systems
PerMIS '09 Proceedings of the 9th Workshop on Performance Metrics for Intelligent Systems
A variable strength interaction test suites generation strategy using Particle Swarm Optimization
Journal of Systems and Software
Why the virtual nature of software makes it ideal for search based optimization
FASE'10 Proceedings of the 13th international conference on Fundamental Approaches to Software Engineering
Generating test data for both paths coverage and faults detection using genetic algorithms
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
A prediction approach to support alternative design decision for component-based system development
SEPADS'12/EDUCATION'12 Proceedings of the 11th WSEAS international conference on Software Engineering, Parallel and Distributed Systems, and proceedings of the 9th WSEAS international conference on Engineering Education
Search-based model transformation by example
Software and Systems Modeling (SoSyM)
Test sequence optimisation: an intelligent approach via cuckoo search
International Journal of Bio-Inspired Computation
Search-based software engineering: Trends, techniques and applications
ACM Computing Surveys (CSUR)
AUSTIN: An open source tool for search based software testing of C programs
Information and Software Technology
Search based constrained test case selection using execution effort
Expert Systems with Applications: An International Journal
Performance evaluation of artificial intelligence algorithms for virtual network embedding
Engineering Applications of Artificial Intelligence
Diversity oriented test data generation using metaheuristic search techniques
Information Sciences: an International Journal
Generating test data for both path coverage and fault detection using genetic algorithms
Frontiers of Computer Science: Selected Publications from Chinese Universities
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Evolutionary structural testing is an approach to automatically generating test cases that achieve high structural code coverage. It typically uses genetic algorithms (GAs) to search for relevant test cases. In recent investigations particle swarm optimization (PSO), an alternative search technique, often outperformed GAs when applied to various problems. This raises the question of how PSO competes with GAs in the context of evolutionary structural testing.In order to contribute to an answer to this question, we performed experiments with 25 small artificial test objects and 13 more complex industrial test objects taken from various development projects. The results show that PSO outperforms GAs for most code elements to be covered in terms of effectiveness and efficiency.