A Brief Analysis of Soft Computing Techniques in Software Fault Prediction

Author:

Garg Hitendra1

Affiliation:

1. GLA University,Department of Computer Engineering and Applications,Mathura,India

Publisher

IEEE

Reference35 articles.

1. Prediction approach of software fault-proneness based on hybrid artificial neural network and quantum particle swarm optimization

2. Software fault prediction using neuro-fuzzy network and evolutionary learning approach

3. Deep neural network based hybrid approach for software defectprediction using software metrics;manjula;Cluster Computing,2018

4. Neural Network based Software Defect Prediction using Genetic Algorithm and Particle Swarm Optimization;islam ayon;1st International Conference on Advances in Science Engineering and Robotics Technology 2019 (ICASERT 2019),0

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1. Software Defect Prediction Using Dagging Meta-Learner-Based Classifiers;Mathematics;2023-06-15

2. Software Reliability Modeling and Prediction of Residual Defects for Embedded Systems;2023 XXVI International Conference on Soft Computing and Measurements (SCM);2023-05-24

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