Open AccessJournal Article
A Genetic Programming Approach to Automated Test Generation for Object-Oriented Software
Arjan Seesing,Hans-Gerhard Groß +1 more
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This article is published in International Transactions on Systems Science and Applications.The article was published on 2006-01-01 and is currently open access. It has received 29 citations till now. The article focuses on the topics: Object-oriented programming & Genetic programming.read more
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Search Based Software Engineering: A Comprehensive Analysis and Review of Trends Techniques and Applications
TL;DR: This paper identifies research trends and relationships between the techniques applied and the applications to which they have been applied and highlights gaps in the literature and avenues for further research.
Proceedings ArticleDOI
Using Genetic Algorithm for Unit Testing of Object Oriented Software
TL;DR: This paper proposes a method to generate test cases for classes in object oriented software using a genetic programming approach that uses tree representation of statements in test cases.
Proceedings ArticleDOI
A Multi-Objective Genetic Algorithm to Test Data Generation
TL;DR: A framework that implements a multi-objective genetic algorithm is described and combinations of three objectives are experimentally evaluated: coverage of structural test criteria, ability to reveal faults, and execution time.
Journal ArticleDOI
Test Case Evaluation and Input Domain Reduction strategies for the Evolutionary Testing of Object-Oriented software
TL;DR: The focus of the research is on employing evolutionary algorithms for the structural unit-testing of Object-Oriented programs through the introduction of novel methodologies for automation, search guidance and Input Domain Reduction.
Journal ArticleDOI
Improved Genetic Algorithm to Reduce Mutation Testing Cost
TL;DR: An improved genetic algorithm that can reduce computational cost of mutation testing and propose a new two-way crossover and adaptable mutation methods that intelligently use the fitness information to generate fitter offspring.