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基于AR规则的全路径测试数据自动生成方法
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. DOI: 10.3969/j.issn.1001-3695.2010.11.045
作者姓名:崔欢欢  陈利  匡哈雷  朱变
作者单位:华中师范大学,计算机科学系,武汉,430079
基金项目:国家自然科学基金资助项目(90818028)
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。

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
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. DOI: 10.3969/j.issn.1001-3695.2010.11.045
Authors:CUI Huan-huan  CHEN Li  KUANG Ha-lei  ZHU Bian
Affiliation:(Dept. of Computer Science, Huazhong Normal University, Wuhan 430079, China)
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.
Keywords:AR rules (analysis rules)   source code analysis program   NRPS algorithm(all paths search algorithm)   PSO algorithm   PS method
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