Assertion-oriented automated test data generation
Proceedings of the 18th international conference on Software engineering
ADTEST: A Test Data Generation Suite for Ada Software Systems
IEEE Transactions on Software Engineering
Automatic test data generation using constraint solving techniques
Proceedings of the 1998 ACM SIGSOFT international symposium on Software testing and analysis
Automated test data generation using an iterative relaxation method
SIGSOFT '98/FSE-6 Proceedings of the 6th ACM SIGSOFT international symposium on Foundations of software engineering
Automatic test data generation for path testing using GAs
Information Sciences: an International Journal
FAST: a framework for automating statistics-based testing
Software Quality Control
Using Artificial Life Techniques to Generate Test Cases for Combinatorial Testing
COMPSAC '04 Proceedings of the 28th Annual International Computer Software and Applications Conference - Volume 01
Automated Test Data Generation Using MEA-Graph Planning
ICTAI '04 Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence
An Approach to Test Data Generation for Killing Multiple Mutants
ICSM '06 Proceedings of the 22nd IEEE International Conference on Software Maintenance
Generalized extremal optimization: an attractive alternative for test data generation
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Automatic Generation of Floating-Point Test Data
IEEE Transactions on Software Engineering
A System to Generate Test Data and Symbolically Execute Programs
IEEE Transactions on Software Engineering
On the Automated Generation of Program Test Data
IEEE Transactions on Software Engineering
A relation-based method combining functional and structural testing for test case generation
Journal of Systems and Software
A tabu search algorithm for structural software testing
Computers and Operations Research
Automatic, evolutionary test data generation for dynamic software testing
Journal of Systems and Software
Automated test data generation using a scatter search approach
Information and Software Technology
An evaluation of differential evolution in software test data generation
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Evolutionary generation of test data for many paths coverage based on grouping
Journal of Systems and Software
Grouping target paths for evolutionary generation of test data in parallel
Journal of Systems and Software
Cellular automata based test data generation
ACM SIGSOFT Software Engineering Notes
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Manual test data generation is carried out by using the ability of neurons to recognize patterns. The nervous system and the brain coordinate to generate test cases, which are capable of finding potential faults. Automated test data generators lack the ability to produce efficient test cases because they do not imitate natural processes. This paper proposes using Artificial Life based systems for generating test cases. Cellular Automata and Langton's loop have been used to accomplish the above task. Cellular Automata are parallel distributed systems capable of reproducing using self generated patterns. These fascinating techniques have been amalgamated with standard test data generation techniques to give rise to a methodology, which generates test cases for white box testing. Langton's Loops have been used to generate test cases for Black Box Testing. The approach has been verified on a set of 20 programs. The programs have been selected on the basis of their Lines of Code and utility. The results obtained have been verified using Average Probability of Fault Detection. This paper also proposes a new framework capable of crafting test cases taking into account the oracle cost.