| 基于AR规则的全路径测试数据自动生成方法 |
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| 引用本文： | 崔欢欢,陈利,匡哈雷,朱变.基于AR规则的全路径测试数据自动生成方法[J].计算机应用研究,2010,27(11):4168-4170. |
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| 作者姓名： | 崔欢欢 陈利 匡哈雷 朱变 |
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| 作者单位： | 华中师范大学,计算机科学系,武汉,430079 |
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| 基金项目： | 国家自然科学基金资助项目(90818028) |
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| 摘 要： | 基于全路径的研究现正处于起步阶段，提出了一种全新的NRPS算法（不重复路径搜索算法）和AR规则来对程序的源文件进行静态分析，生成有向无负权图，进而得到不重复路径集；并结合粒子群优化算法最终生成最优测试用例。实验表明，该方法具有可行性。
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| 关 键 词： | 解析规则 源码分析程序 NRPS算法 粒子群优化算法 PS方法 |
Approach of automatic test data generation of all path based on AR rules |
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| CUI Huan-huan,CHEN Li,KUANG Ha-lei,ZHU Bian.Approach of automatic test data generation of all path based on AR rules[J].Application Research of Computers,2010,27(11):4168-4170. |
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| Authors: | CUI Huan-huan CHEN Li KUANG Ha-lei ZHU Bian |
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| Affiliation: | (Dept. of Computer Science, Huazhong Normal University, Wuhan 430079, China) |
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| Abstract: | This paper constructed a framework for trustworthy software evolution. It not only supported semantic but also well guided dynamic evolution through service composition. First of all, it adopted a method of ontology space to support the semantic of this framework model. Secondly, defined a set of reasoning rules to evaluate the credibility of software behavior and the need for self-adjustment, then according to these results adjusted software from micro-level and macro-level in software life cycle. Finally, a simple application shows the effectiveness of this framework proposed. |
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| Keywords: | AR rules (analysis rules) source code analysis program NRPS algorithm(all paths search algorithm) PSO algorithm PS method |
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