Evolutionary Approaches to Test Data Generation for Object-Oriented Software: Overview of Techniques and Tools

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Author(s): Ana Filipa Nogueira (Polytechnic Institute of Leiria, Portugal & University of Coimbra, Portugal), José Carlos Bregieiro Ribeiro (Polytechnic Institute of Leiria, Portugal), Francisco Fernández de Vega (University of Extremadura, Spain)and Mário Alberto Zenha-Rela (University of Coimbra, Portugal)
Copyright: 2022
Pages: 26
Source title: Research Anthology on Agile Software, Software Development, and Testing
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-6684-3702-5.ch044

Keywords: Computer Science & IT / Information Science Reference / Systems & Software Design / Systems and Software Engineering

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Abstract

In object-oriented evolutionary testing, metaheuristics are employed to select or generate test data for object-oriented software. Techniques that analyse 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.

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Evolutionary Approaches to Test Data Generation for Object-Oriented Software: Overview of Techniques and Tools

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