Optimized Decision Tree-based Early Phase Software Dependability Analysis in Uncertain Environment
Author:
Affiliation:
1. Indian Institute of Technology (ISM) Dhanbad,Dept. of Mathematics & Computing,Dhanbad,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10093230/10093236/10093237.pdf?arnumber=10093237
Reference28 articles.
1. Prediction approach of software fault-proneness based on hybrid artificial neural network and quantum particle swarm optimization
2. Software defect prediction using cost-sensitive neural network
3. Compressed C4.5 Models for Software Defect Prediction
4. Software defect prediction model based on LLE and SVM
5. Software reliability and dependability
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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
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