Reducing bias and inefficiency in the selection algorithm
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Proceedings of the third international conference on Genetic algorithms
An integrated system for automatically generating test data
ISCI '90 Proceedings of the first international conference on systems integration on Systems integration '90
Knapsack problems: algorithms and computer implementations
Knapsack problems: algorithms and computer implementations
Automated Software Test Data Generation
IEEE Transactions on Software Engineering
Experimental results from an automatic test case generator
ACM Transactions on Software Engineering and Methodology (TOSEM)
Automated program flaw finding using simulated annealing
Proceedings of the 1998 ACM SIGSOFT international symposium on Software testing and analysis
Symbolic execution and program testing
Communications of the ACM
Generating Software Test Data by Evolution
IEEE Transactions on Software Engineering
Fitness Function Design To Improve Evolutionary Structural Testing
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
Instrumenting Programs With Flag Variables For Test Data Search By Genetic Algorithms
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
IEEE Transactions on Software Engineering
Data Generation for Path Testing
Software Quality Control
Evolutionary testing in the presence of loop-assigned flags: a testability transformation approach
ISSTA '04 Proceedings of the 2004 ACM SIGSOFT international symposium on Software testing and analysis
Stress testing real-time systems with genetic algorithms
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Search-based software test data generation: a survey: Research Articles
Software Testing, Verification & Reliability
Automated Unique Input Output Sequence Generation for Conformance Testing of FSMs
The Computer Journal
Empirical Software Engineering
Fitness calculation approach for the switch-case construct in evolutionary testing
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Search-based refactoring: an empirical study
Journal of Software Maintenance and Evolution: Research and Practice - Search Based Software Engineering [SBSE]
Search-based multi-paths test data generation for structure-oriented testing
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Using automated search to generate test data for matlab
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Evolutionary framework for test of autonomous systems
PerMIS '09 Proceedings of the 9th Workshop on Performance Metrics for Intelligent Systems
Reducing qualitative human oracle costs associated with automatically generated test data
Proceedings of the First International Workshop on Software Test Output Validation
The relationship between search based software engineering and predictive modeling
Proceedings of the 6th International Conference on Predictive Models in Software Engineering
Efficient multi-objective higher order mutation testing with genetic programming
Journal of Systems and Software
FloPSy: search-based floating point constraint solving for symbolic execution
ICTSS'10 Proceedings of the 22nd IFIP WG 6.1 international conference on Testing software and systems
A study of the bi-objective next release problem
Empirical Software Engineering
A multi-objective evolutionary algorithm to obtain test cases with variable lengths
Proceedings of the 13th annual conference on Genetic and evolutionary computation
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
Search based software engineering: techniques, taxonomy, tutorial
Empirical Software Engineering and Verification
ASE '11 Proceedings of the 2011 26th IEEE/ACM International Conference on Automated Software Engineering
Test data regeneration: generating new test data from existing test data
Software Testing, Verification & Reliability
Multi-objective coevolutionary automated software correction
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Search-based software engineering: Trends, techniques and applications
ACM Computing Surveys (CSUR)
Evolutionary algorithms for the multi-objective test data generation problem
Software—Practice & Experience
Optimised realistic test input generation using web services
SSBSE'12 Proceedings of the 4th international conference on Search Based Software Engineering
Achieving scalable model-based testing through test case diversity
ACM Transactions on Software Engineering and Methodology (TOSEM)
Proceedings of the 2013 International Conference on Software Engineering
Cellular automata based test data generation
ACM SIGSOFT Software Engineering Notes
Search based software test data generation for structural testing: a perspective
ACM SIGSOFT Software Engineering Notes
Using evidential reasoning to make qualified predictions of software quality
Proceedings of the 9th International Conference on Predictive Models in Software Engineering
An orchestrated survey of methodologies for automated software test case generation
Journal of Systems and Software
Current challenges in automatic software repair
Software Quality Control
Post-compiler software optimization for reducing energy
Proceedings of the 19th international conference on Architectural support for programming languages and operating systems
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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There has been a considerable body of work on search-based test data generation for branch coverage. However, hitherto, there has been no work on multi-objective branch coverage. In many scenarios a single-objective formulation is unrealistic; testers will want to find test sets that meet several objectives simultaneously in order to maximize the value obtained from the inherently expensive process of running the test cases and examining the output they produce. This paper introduces multi-objective branch coverage.The paper presents results from a case study of the twin objectives of branch coverage and dynamic memory consumption for both real and synthetic programs. Several multi-objective evolutionary algorithms are applied. The results show that multi-objective evolutionary algorithms are suitable for this problem, and illustrates the way in which a Pareto optimal search can yield insights into the trade-offs between the two simultaneous objectives.