• Evolutionary Approaches to Test Data Generation for Object-Oriented Software: Overview of Techniques and Tools
Authors
Abstract
In object-oriented evolutionary testing, meta heuristics are employed to select orgenerate test data for object-oriented software. Techniques that analyses program
structures are predominant among the panoply of studies available in current
literature. For object-oriented evolutionary testing, the common objective is to reach some coverage criteria, usually in the form of statement or branch coverage. This chapter explores, reviews, and contextualizes relevant literature, tools, and techniques in this area, while identifying open problems and setting ground for future work.