eCrash: a Genetic Programming-Based Testing Tool for Object-Oriented Software

Authors

Abstract

This paper describes the methodology, architecture and features of the eCrash framework, a Java-based tool which employs Strongly-Typed Genetic Programming to automate the generation of test data for the structural unit testing of Object-Oriented programs. The application of Evolutionary Algorithms to Test Data generation is often referred to as Evolutionary Testing. eCrash implements an Evolutionary Testing strategy developed with three major purposes: improving the level of performance and automation of the Software Testing process; minimising the interference of the tool's users on the Test Object analysis to a minimum; and mitigating the impact of users decisions in the Test Data generation process.

Keywords

Evolutionary Testing, Object-Orientation, Search-Based Software Engineering, Unit Testing, Genetic Programming

Subject

Genetic Programming-based testing

Book Chapter

Handbook of Genetic Programming Applications, 5, pp. 575-593, Springer International Publishing, June 2015

DOI