A Comprehensive Study for Software Testing and Test Cases Generation Paradigms

Proceedings of the International Conference on Internet of things and Cloud Computing Pub Date : 2016-03-22 DOI:10.1145/2896387.2896435

Roaa Elghondakly, Sherin M. Moussa, N. Badr

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引用次数: 10

Abstract

Software testing is accounted to be an essential part in software development life cycle in terms of cost and manpower, where its total cost is considerable high. Consequently, many studies [48] have been conducted to minimize the associated cost and human effort to fix bugs and errors, and to improve the quality of testing process by automatically generating test cases. Test cases can be generated from different phases (requirement phase, design phase and after development phase). Though, test case generation at early stages is more effective rather than that after development, where time and effort used for finding and fixing errors and bugs is less than that after development. At later stage, fixing errors results in enormous code correction, consuming a lot of time and effort. In this paper, we study the different paradigms of testing techniques for generating test cases, where we investigate their coverage and associated capabilities. We finally propose a preliminary model for a generic automated test cases generation.

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软件测试与测试用例生成范式的综合研究

软件测试被认为是软件开发生命周期中成本和人力的重要组成部分，其总成本相当高。因此，已经进行了许多研究[48]，以最小化相关的成本和修复缺陷和错误的人力，并通过自动生成测试用例来提高测试过程的质量。测试用例可以从不同的阶段(需求阶段、设计阶段和开发后阶段)生成。尽管如此，早期阶段的测试用例生成比开发之后的更有效，因为在开发之后，用于查找和修复错误和bug的时间和精力比开发之后的要少。在后期阶段，修复错误会导致大量的代码更正，消耗大量的时间和精力。在本文中，我们研究了用于生成测试用例的测试技术的不同范例，其中我们调查了它们的覆盖率和相关的能力。我们最后提出了一个通用自动化测试用例生成的初步模型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the International Conference on Internet of things and Cloud Computing

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