(2006), Evolutionary unit testing of object-oriented software using strongly-typed genetic programming, in 'GECCO '06: Proceedings of the. 8th annual ...
The results show a genetic algorithm combined with static analysis can considerably increase the number of faults found compared to a random testing approach.
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In this paper, we present a search-based approach to automatically generating test cases for object-oriented software. It relies on a tree-based representation ...
This work presents a new approach to infer software complexity with basis on the characteristics of automatically generated test cases, ...
Author. L.S. Silva M. van Someren ; Year: 2010 ; host editors. D. Shin ; Title: Evolutionary testing of object-oriented software ; Event: 25th Annual ACM Symposium ...
Abstract—Achieving high structural coverage such as branch coverage in object-oriented programs is an important and yet challenging goal due to two main ...
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Abstract. In Object-Oriented Evolutionary Testing, metaheuristics are employed to select or generate Test Data for Object-Oriented software.
In this paper, we present a search-based approach to automatically generating test cases for object-oriented software. It relies on a tree-based representation ...
In Object-Oriented Evolutionary Testing, metaheuristics are employed to select or generate Test Data for Object-Oriented software.
Evolutionary testing provides a sound basis to automate the generation of test cases that meet the specified criteria. It is an iterative process in which ...