A bayesian belief network based model for predicting software faults in early phase of software development process-Reference-Cited by-同舟云学术

A bayesian belief network based model for predicting software faults in early phase of software development process

Published:2017-10-30 Issue:8 Volume:48 Page:2214-2228
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Chatterjee Subhashis,Maji Bappa

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

http://link.springer.com/article/10.1007/s10489-017-1078-x/fulltext.html

Reference33 articles.

1. Pandey A K, Goyal N K (2010) Fault prediction model by fuzzy profile development of reliability relevant software metrics. Int J Comp Appl 11(6):34–41

2. Musa J D, Iannino A, Okumoto K (1987) Software reliability: measurement, prediction, application. McGraw-Hill, New York

3. Xie M (1991) Software reliability modeling. World Scientific Press, Singapore

4. Lyu M R (1996) Handbook of software reliability engineering. McGraw-Hill, New York

5. Pham H (2006) System software reliability. Springer, Berlin

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. IT2F-SEDNN: an interval type-2 fuzzy logic-based stacked ensemble deep learning approach for early phase software dependability analysis;Innovations in Systems and Software Engineering;2024-05-19

2. Software dependability analysis under neutrosophic environment using optimized Elman recurrent neural network-based classification algorithm and Mahalanobis distance-based ranking algorithm;Annals of Operations Research;2024-03-05

3. Decision Tree Regression Analysis of Proposed Metric Suite for Software Fault Prediction;SN Computer Science;2023-12-07

4. Software Bug Prediction Using Reward-Based Weighted Majority Voting Ensemble Technique;IEEE Transactions on Reliability;2023

5. Analysis of feature selections during fault prediction using various ML algorithms;AIP Conference Proceedings;2023