distribution-aware mutation analysis
文献类型：会议论文
| 作者 | Sun Chang-Ai ; Wang Guan ; Cai Kai-Yuan ; Chen Tsong Yueh |
| 出版日期 | 2012 |
| 会议名称 | 36th Annual IEEE International Computer Software and Applications Conference Workshops, COMPSACW 2012 |
| 会议日期 | July 16, 2012 - July 20, 2012 |
| 会议地点 | Izmir, Turkey |
| 关键词 | Testing Web services |
| 页码 | 170-175 |
| 中文摘要 | Mutation analysis is widely employed to evaluate the effectiveness of various software testing techniques. In most situations, mutation operators are uniformly applied to the original programs, while the faults tend to be clustered in practice. This may result in the inappropriate simulation of faults, and thus cannot deliver the reliable evaluation results. To overcome this, we propose a distribution-aware mutation analysis technique and conducted empirical studies to investigate the impact of the mutation distribution on the effectiveness evaluation of testing techniques. As an illustration, we select the commonly practiced random testing technique and two versions of dynamic random testing techniques and apply them to testing Web services. Results of empirical studies suggest that the mutation distribution significantly affects the evaluation results. This observation further indicates that the effectiveness of testing techniques previously evaluated with the uniform mutation analysis needs further realignments. © 2012 IEEE. |
| 英文摘要 | Mutation analysis is widely employed to evaluate the effectiveness of various software testing techniques. In most situations, mutation operators are uniformly applied to the original programs, while the faults tend to be clustered in practice. This may result in the inappropriate simulation of faults, and thus cannot deliver the reliable evaluation results. To overcome this, we propose a distribution-aware mutation analysis technique and conducted empirical studies to investigate the impact of the mutation distribution on the effectiveness evaluation of testing techniques. As an illustration, we select the commonly practiced random testing technique and two versions of dynamic random testing techniques and apply them to testing Web services. Results of empirical studies suggest that the mutation distribution significantly affects the evaluation results. This observation further indicates that the effectiveness of testing techniques previously evaluated with the uniform mutation analysis needs further realignments. © 2012 IEEE. |
| 收录类别 | EI |
| 会议主办者 | IEEE; IEEE Computer Society |
| 会议录 | Proceedings - International Computer Software and Applications Conference
 |
| 语种 | 英语 |
| ISSN号 | 0730-3157 |
| ISBN号 | 9780769547589 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/15829]  |
| 专题 | 软件研究所_软件所图书馆_会议论文 |
| 推荐引用方式 GB/T 7714 | Sun Chang-Ai,Wang Guan,Cai Kai-Yuan,et al. distribution-aware mutation analysis[C]. 见:36th Annual IEEE International Computer Software and Applications Conference Workshops, COMPSACW 2012. Izmir, Turkey. July 16, 2012 - July 20, 2012. |
入库方式： OAI收割
来源：软件研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。