| 1 | Yu-Seung Ma and Yong-Rae Kwon and Sang-Woon Kim
Statistical Investigation on Class Mutation Operators
ETRI Journal, 31(), 2009. |
|
| | Abstract: Available soon... |
| | @ARTICLE{MaKK09,
author = {Yu-Seung Ma and Yong-Rae Kwon and Sang-Woon Kim},
title = {Statistical Investigation on Class Mutation Operators},
journal = {ETRI Journal},
year = {2009},
month = {},
volume = {31},
number = {},
pages = {140–150}
} |
| 2 | Sang-Woon Kim and Mary Jean Harrold and Yong-Rae Kwon
MUGAMMA: Mutation Analysis of Deployed Software to Increase Confidence and Assist Evolution
Proceedings of the 2nd Workshop on Mutation Analysis (MUTATION'06)Raleigh, North Carolina, November 2006. |
|
| | Abstract: This paper presents a novel approach to unit testing that lets users of deployed software assist in performing mutation testing of the software. Our technique, MUGAMMA, provisions a software system so that when it executes in the field, it will determine whether users' executions would have killed mutants (without actually executing the mutants), and if so, captures the state information about those executions. In the absence of bug reports, knowledge of executions that would have killed mutants provides additional confidence in the system over that gained by the testing performed before deployment. Captured information about the state before and after execution of units (e.g., methods) can be used to construct test cases for use in unit testing when changes are made to the software. The paper also describes our prototype MUGAMMA implementation along with a case study that demonstrates its potential efficacy. |
| | @INPROCEEDINGS{KimHK06,
author = {Sang-Woon Kim and Mary Jean Harrold and Yong-Rae Kwon},
title = {MUGAMMA: Mutation Analysis of Deployed Software to Increase Confidence and Assist Evolution},
booktitle = {Proceedings of the 2nd Workshop on Mutation Analysis (MUTATION'06)},
year = {2006},
address = {Raleigh, North Carolina},
month = {November},
pages = {10}
} |
