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A Hybridized Artificial Neural Network for Automated Software Test Oracle

  • Published:2023 Issue:2 Volume:45 Page:1837-1850
  • ISSN:0267-6192
  • Container-title:Computer Systems Science and Engineering
  • language:en
  • Short-container-title:

Author:

Kamaraj K.,Lanitha B.,Karthic S.,N. Senthil Prakash P.,Mahaveerakannan R.

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

General Computer Science,Theoretical Computer Science,Control and Systems Engineering

Reference27 articles.

1. A comparative study of artificial neural networks and info-fuzzy networks as automated oracles in software testing;Agarwal;IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans,2012

2. The oracle problem in software testing: A survey;Barr;IEEE Transactions on Software Engineering,2015

3. Automated test oracles: State of the art, taxonomies, and trends;Oliveira;Advances in Computers,2015

4. Particle swarm optimization;Kennedy,1995

5. A harmony search based wrapper feature selection method for holistic bangla word recognition;Das;Procedia Computer Science,2016

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2. On the value of parameter tuning in stacking ensemble model for software regression test effort estimation;The Journal of Supercomputing;2023-05-06

3. The integration of machine learning into automated test generation: A systematic mapping study;Software Testing, Verification and Reliability;2023-05-02

4. Software Technology Project Defect Prediction Based on AI;Proceedings of the 2023 International Conference on Frontiers of Artificial Intelligence and Machine Learning;2023-04-14
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