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Khoa Phung
Khoa Phung
Unknown affiliation
Verified email at uwe.ac.uk
Title
Cited by
Cited by
Year
Error-type—A novel set of software metrics for software fault prediction
K Phung, E Ogunshile, M Aydin
IEEE Access 11, 30562-30574, 2023
112023
An algorithm for implementing a minimal stream X-Machine model to test the correctness of a system
K Phung, E Ogunshile
2020 8th International Conference in Software Engineering Research and …, 2020
72020
A novel software fault prediction approach to predict error-type proneness in the Java programs using stream X-machine and machine learning
K Phung, E Ogunshile, M Aydin
2021 9th international conference in software engineering research and …, 2021
52021
Exploring a web-based application to convert Tamil and Vietnamese speech to text without the effect of code-switching and code-mixing
K Phung, R Ramachandran, E Ogunshile
Programming and Computer Software 47, 757-764, 2021
42021
Modelling diseases with stream X-machine
S Jayatilake, E Ogunshile, M Aydin, K Phung
2021 9th International Conference in Software Engineering Research and …, 2021
32021
Covid-19 Care–A mobile application to help connect volunteers and vulnerable people in the community during the Covid-19 lockdown
K Phung, S Odongo, E Ogunshile
2020 8th International Conference in Software Engineering Research and …, 2020
32020
A stream X-machine tool for modelling and generating test cases for chronic diseases based on state-counting approach
K Phung, D Jayatilake, E Ogunshile, M Aydin
Programming and Computer Software 47, 765-777, 2021
22021
Enhancing Software Fault Prediction with Deep Neural Networks: An Empirical Analysis of Error-Type Metrics
K Phung, E Ogunshile, ME Aydin
2022
Modelling interrelationship between diseases with Communicating Stream X-Machines
D Jayatilake, K Phung, E Ogunshile, M Aydin
Труды Института системного программирования РАН 34 (6), 147-164, 2022
2022
Enhancing Software Fault Prediction with Error-Type Metrics: A Risk-Based Approach
K Phung, E Ogunshile, ME Aydin
Available at SSRN 4529342, 0
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