A path and branch based approach to fitness computation for program test data generation using genetic algorithm

机译：基于路径和分支的适应度计算方法，用于使用遗传算法生成程序测试数据

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In this paper we present a novel approach for fitness computation for test data generation using genetic algorithm. Fitness computation is a two-step process. In the first step a target node sequence is determined and in the second step the actual execution path is compared with the target node sequence to compute fitness. Fitness computation uses both branch and path information. Experiments indicate that the described fitness technique results in significant improvement in search performance.

机译：在本文中，我们提出了一种新的适合度计算方法，用于使用遗传算法生成测试数据。适应度计算是一个两步过程。在第一步中，确定目标节点序列，在第二步中，将实际执行路径与目标节点序列进行比较，以计算适合度。适应度计算使用分支和路径信息。实验表明，所描述的适应性技术可显着改善搜索性能。

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来源
《2015 International Conference on Futuristic trend on Computational Analysis and Knowledge Management》|2015年|49-55|共7页
会议地点 Noida(IN)
作者
Pachauri Ankur; Gursaran; Mishra Gaurav;
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作者单位

Rajiv Acad. for Technol. Manage., Mathura, India;

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会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
genetic algorithm; program test data generation; search-based software testing;

机译：遗传算法；程序测试数据生成；基于搜索的软件测试;

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2. A Genetic Algorithm based Approach for Test Data Generation in Basis Path Testing [J] . Suresh Yeresime, Santanu Ku Rath International Journal of Soft Computing and Software Engineering . 2013,第3期

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3. Program Test Data Generation for Branch Coverage with Genetic Algorithm: Comparative Evaluation of A Maximization and Minimization Approach [J] . Ankur Pachauri Gursaran Computer Science & Information Technology . 2012,第1期

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4. A path and branch based approach to fitness computation for program test data generation using genetic algorithm [C] . Pachauri Ankur, Gursaran, Mishra Gaurav International Conference on Futuristic trend on Computational Analysis and Knowledge Management . 2015

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6. Optimal path test data generation based on hybrid negative selection algorithm and genetic algorithm [O] . Shayma Mustafa Mohi-Aldeen, Radziah Mohamad, Safaai Deris 2020

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7. PROGRAM TEST DATA GENERATION FOR BRANCH COVERAGE WITH GENETIC ALGORITHM: COMPARATIVE EVALUATION OF A MAXIMIZATION AND MINIMIZATION APPROACH [O] . Ankurpachauriand Gursaran 2012

机译：基于遗传算法的分支覆盖的程序测试数据生成：最大化和最小化方法的比较评估

A path and branch based approach to fitness computation for program test data generation using genetic algorithm

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