[1]
|
Emerging Technologies for Computing, Communication and Smart Cities
Lecture Notes in Electrical Engineering,
2022
DOI:10.1007/978-981-19-0284-0_40
|
|
|
[2]
|
Software quality prediction using machine learning
Materials Today: Proceedings,
2022
DOI:10.1016/j.matpr.2022.03.165
|
|
|
[3]
|
Emerging Technologies for Computing, Communication and Smart Cities
Lecture Notes in Electrical Engineering,
2022
DOI:10.1007/978-981-19-0284-0_40
|
|
|
[4]
|
Reuse estimate and interval prediction using MOGA-NN and RBF-NN in the functional paradigm
Science of Computer Programming,
2021
DOI:10.1016/j.scico.2021.102643
|
|
|
[5]
|
Reuse estimate and interval prediction using MOGA-NN and RBF-NN in the functional paradigm
Science of Computer Programming,
2021
DOI:10.1016/j.scico.2021.102643
|
|
|
[6]
|
A Guidelines for Controlled Experimental Design to Evaluate the Metrics of Software Component Reusability
2021 Fifth International Conference on Information Retrieval and Knowledge Management (CAMP),
2021
DOI:10.1109/CAMP51653.2021.9497978
|
|
|
[7]
|
Software reusability metrics prediction and cost estimation by using machine learning algorithms
International Journal of Knowledge-based and Intelligent Engineering Systems,
2020
DOI:10.3233/KES-190421
|
|
|
[8]
|
Information Systems Design and Intelligent Applications
Advances in Intelligent Systems and Computing,
2019
DOI:10.1007/978-981-13-3338-5_9
|
|
|
[9]
|
Software Component Reusability Classification in Functional Paradigm
2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT),
2019
DOI:10.1109/ICECCT.2019.8869123
|
|
|
[10]
|
Advanced Computational and Communication Paradigms
Advances in Intelligent Systems and Computing,
2018
DOI:10.1007/978-981-10-8237-5_48
|
|
|
[11]
|
Software reusability metrics estimation: Algorithms, models and optimization techniques
Computers & Electrical Engineering,
2017
DOI:10.1016/j.compeleceng.2017.11.022
|
|
|