DocumentCode
688271
Title
A Grey-Based Rough Set Approach for Software Risk Prediction: A Case Study
Author
Jun Liu ; Jianzhong Qiao
Author_Institution
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fYear
2013
fDate
13-15 Nov. 2013
Firstpage
1147
Lastpage
1151
Abstract
Due to the limitation of acknowledgment, the complexity of software system and the interference of noises, traditional software risk evaluation methods face the challenge of poor and uncertain inputs. Therefore, it is crucial to perform estimation and evaluation on software risk against a poor information database. This paper presents a grey-based rough set approach by introducing grey system theory into rough set based analysis, aiming for an effective method for software risk evaluation.
Keywords
grey systems; risk analysis; rough set theory; software performance evaluation; grey system theory; grey-based rough set approach; noise interference; software risk evaluation method; software system complexity; Approximation methods; Correlation coefficient; Decision making; Economic indicators; Set theory; Software; Uncertainty; Decision-making; Grey system; Rough set; risk prediction;
fLanguage
English
Publisher
ieee
Conference_Titel
High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing (HPCC_EUC), 2013 IEEE 10th International Conference on
Conference_Location
Zhangjiajie
Type
conf
DOI
10.1109/HPCC.and.EUC.2013.162
Filename
6832044
Link To Document