Evolutionary Approaches to Test Data Generation for Object-Oriented Software-Reference-Cited by-同舟云学术

Evolutionary Approaches to Test Data Generation for Object-Oriented Software

Published:2022 Issue: Volume: Page:884-909
ISSN:
Container-title:Research Anthology on Agile Software, Software Development, and Testing
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Author:

Nogueira Ana Filipa¹,Ribeiro José Carlos Bregieiro²,Fernández de Vega Francisco³,Zenha-Rela Mário Alberto⁴

Affiliation:

1. Polytechnic Institute of Leiria, Portugal & University of Coimbra, Portugal

2. Polytechnic Institute of Leiria, Portugal

3. University of Extremadura, Spain

4. University of Coimbra, Portugal

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.

Publisher

IGI Global

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