Title :
Mining software repositories to acquire software risk knowledge
Author_Institution :
Dept. of Inf. Eng., Kun Shan Univ., Tainan, Taiwan
Abstract :
Knowing and managing the software risks are important for software project management. The information collected from past projects can be used to obtain the knowledge of the software risk. The challenge to acquire the knowledge of software risk is that the software development environment is complex and contains large amount factors that may affect the software projects. This study proposes an approach that applies data mining techniques on the data collected from historic software projects to acquire software risk knowledge. The obtained software risk knowledge can be used to facilitate software project management. The advantage of the proposed approach is that the software risk knowledge can be acquired automatically according to the selected attributes. The proposed approach is applied on a business project to demonstrate how the software risk knowledge can be acquired.
Keywords :
data mining; project management; risk management; software development management; data mining technique; historic software projects; software development environment; software project management; software repository mining; software risk knowledge acquisition; software risk management; Data mining; Data models; Itemsets; Knowledge acquisition; Predictive models; Risk management; Software; Data Mining; Knowledge Acquisition; Software Process; Software Risk;
Conference_Titel :
Information Reuse and Integration (IRI), 2013 IEEE 14th International Conference on
Conference_Location :
San Francisco, CA
DOI :
10.1109/IRI.2013.6642510