The chaining approach for software test data generation
ACM Transactions on Software Engineering and Methodology (TOSEM)
Automated test-data generation for exception conditions
Software—Practice & Experience
Using genetic algorithms and coupling measures to devise optimal integration test orders
SEKE '02 Proceedings of the 14th international conference on Software engineering and knowledge engineering
Test and Evaluation by Genetic Algorithms
IEEE Expert: Intelligent Systems and Their Applications
Generating Software Test Data by Evolution
IEEE Transactions on Software Engineering
Constructing test suites for interaction testing
Proceedings of the 25th International Conference on Software Engineering
IEEE Transactions on Software Engineering
Getting Results from Search-Based Approaches to Software Engineering
Proceedings of the 26th International Conference on Software Engineering
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
Analysis and Visualization of Predicate Dependence on Formal Parameters and Global Variables
IEEE Transactions on Software Engineering
Stress testing real-time systems with genetic algorithms
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Improving network applications security: a new heuristic to generate stress testing data
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Search-based mutation testing for Simulink models
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
From genetic to bacteriological algorithms for mutation-based testing: Research Articles
Software Testing, Verification & Reliability
Data Dependence Based Testability Transformation in Automated Test Generation
ISSRE '05 Proceedings of the 16th IEEE International Symposium on Software Reliability Engineering
TimeAware test suite prioritization
Proceedings of the 2006 international symposium on Software testing and analysis
Automated Unique Input Output Sequence Generation for Conformance Testing of FSMs
The Computer Journal
The Current State and Future of Search Based Software Engineering
FOSE '07 2007 Future of Software Engineering
Search Algorithms for Regression Test Case Prioritization
IEEE Transactions on Software Engineering
Proceedings of the 2007 international symposium on Software testing and analysis
Pareto efficient multi-objective test case selection
Proceedings of the 2007 international symposium on Software testing and analysis
Detecting buffer overflow via automatic test input data generation
Computers and Operations Research
Information and Software Technology
Randomized constraint solvers: a comparative study
Innovations in Systems and Software Engineering
Transition coverage testing for simulink/stateflow models using messy genetic algorithms
Proceedings of the 13th annual conference on Genetic and evolutionary computation
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
Cloud engineering is Search Based Software Engineering too
Journal of Systems and Software
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Generating test data is a demanding process. Without automation, the process is slow, expensive and errorprone. However, techniques to automate test data generation must cater for a bewildering variety of functional and non-functional test adequacy criteria and must either implicitly or explicitly solve problems involving state propagation and constraint satisfaction. This talk will show how optimisation techniques associated with Search Based Software Engineering (SBSE) have been used to automate test data generation. The talk will survey the area and present the results of recent work on characterising, transforming and eliding test data search landscapes.