Abstract
This paper presents a multi-stage genetic algorithm (MSGA) to generate tests for the object-oriented programs. MSGA consists of two optimization stages. The first stage concentrates on finding the called methods, which satisfy a given test criterion. The second stage focuses on generating the arguments of the called methods. In addition, we introduce a new chromosome representation, which contains two distinct arrays. Each array contains set of homogeneous genes. We introduce also strategies for encoding and decoding the tests into chromosome and vice versa. We present set of new genetic operators and the pre- and post-requisites for applying these operators.
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