Evolutionary Approaches to Test Data Generation for Object-Oriented Software

A. Nogueira, J. Ribeiro, F. Fernández De Vega, M. Zenha-Rela
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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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面向对象软件测试数据生成的进化方法
在面向对象进化测试中,采用元启发式方法选择或生成面向对象软件的测试数据。分析程序结构的技术在当前文献中可用的大量研究中占主导地位。对于面向对象的进化测试,常见的目标是达到一些覆盖标准,通常以语句或分支覆盖的形式出现。本章探讨、回顾并将该领域的相关文献、工具和技术置于背景中,同时确定存在的问题并为未来的工作奠定基础。
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Agility in Software Development and Project Value Metastructuring for Standards Risk Management Metrics The Applicability of Process-Orientation to Software Development Projects MMT
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