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A Grey-Based Rough Set Approach for Software Risk Prediction: A Case Study

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.