The week's pick
Random Articles
Reseach Article
A Survey of Bayesian Network Models for Decision Making System in Software Engineering
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 134 - Number 8 |
| Year of Publication: 2016 |
| Authors: Nageswarao M., N. Geethanjali |
10.5120/ijca2016906330
|
Nageswarao M., N. Geethanjali . A Survey of Bayesian Network Models for Decision Making System in Software Engineering. International Journal of Computer Applications. 134, 8 ( January 2016), 1-5. DOI=10.5120/ijca2016906330
Abstract
Defect prediction and assessment are the essential steps in large organizations and industries where the software complexity is growing exponentially. A large number of software metrics are discovered and used for metric prediction in the literature. Bayesian networks are applied to find the probabilistic relationships among the software metrics in different phases of software life cycle. Defects in a software project lead to minimize the quality which might be the impact on the overall defect correction. Traditional Bayesian networks are system dependable and their models are invariant towards the accurate computation. Bayesian network model is used to predict the defect correction at various levels of the software development. This model reveals the high potential software efforts and metrics required to minimize the overall cost of the organization for decision support.
References
- Hearty, Peter; Fenton, Norman; Neil, Martin; Cates, Patrick,"Automated population of causal models for improved software risk assessment", Association for Computing Machinery — Nov 7, 2005.
- Xiaoxu Wang, Xiaoxu Wang; Chaoying Wu, Chaoying Wu; Lin Ma, Lin Ma,"Software project schedule variance prediction using Bayesian Network",IEEE, 2010.
- Hu, Yong; Zhang, Xiangzhou; Ngai, E.W.T.; Cai, Ruichu; Liu, Mei,"Software project risk analysis using Bayesian networks with causality constraints",Decision Support Systems , Volume 56 – Dec 1, 2013.
- Tim, Menzies; Gunes, Koru,"Predictive models in software engineering",Empirical Software Engineering , Volume 18 (3) – Jun 1, 2013.
- Jeet, Kawal; Rana, Yadvirender; Xin, Ruichi,"A Bayesian network based approach for software reusability prediction",ACM SIGSOFT Software Engineering Notes , Volume 37 (4) – Jul 16, 2012.
- Bencomo, Nelly; Belaggoun, Amel; Issarny, Valerie,"Dynamic decision networks for decision-making in self-adaptive systems: A case study",IEEE,2013.
- Alsri, Abdulrhman; Almuhammadi, Sultan; Mahmood, Sajjad,"A model for work distribution in global software development based on machine learning techniques",IEEE,2014.
- Layman, L.; Shull, F.; Componation, P.; O'Brien, S.; Sabados,"A methodology for mapping system engineering challenges to recommended approaches",IEEE,2010.
- Otero, C.E.; Otero, L.D.; Weissberger, I.; Qureshi,"A Multi-criteria Decision Making Approach for Resource Allocation in Software Engineering",IEEE,2010.
- Fitzgerald, Brian; Musiał, Mariusz; Stol, Klaas-Jan,"Evidence-based decision making in lean software project management",Association for Computing Machinery — May 31, 2014.
Index Terms
Keywords