Computational Intelligence in Software Engineering
Computational Intelligence in Software Engineering
On the many ways software engineering can benefit from knowledge engineering
SEKE '02 Proceedings of the 14th international conference on Software engineering and knowledge engineering
Ant Colony Optimization
Search-based software test data generation: a survey: Research Articles
Software Testing, Verification & Reliability
An Ant Colony Optimization Approach to Test Sequence Generation for Statebased Software Testin
QSIC '05 Proceedings of the Fifth International Conference on Quality Software
Proceedings of the 2006 international workshop on Automation of software test
Automatic mutation test input data generation via ant colony
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Software Engineering: A Practitioner's Approach
Software Engineering: A Practitioner's Approach
Foundations of Software Testing
Foundations of Software Testing
Software Engineering
Automated Software Testing Using Metahurestic Technique Based on an Ant Colony Optimization
ISED '10 Proceedings of the 2010 International Symposium on Electronic System Design
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Requirements of the desired software product can be translated into state transition diagram or other UML diagrams. To verify the complete coverage of software requirements, the proposed Ant based approach generates non-repetitive transitions from the input state diagram. This approach has less redundant transitions and also gives uncovered transition in successive paths instead of giving whole redundant path again and again. The paper also contains a comparison between already existing approaches with respect to some parameters like coverage, redundancy, total number of transitions.