Machine Learning Techniques For Software Component Reusability-Reference-Cited by-同舟云学术

Machine Learning Techniques For Software Component Reusability

Published:2022-05-27 Issue: Volume: Page:
ISSN:
Container-title:2022 3rd International Conference for Emerging Technology (INCET)
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Author:

Khan Feroz¹,Lingala Gowtham¹

Affiliation:

1. Koneru Lakshmaiah Education Foundation Vaddeswaram,Department of Computer Science and Engineering,Guntur,Andhra Pradesh,India,522502

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9823393/9823966/09824063.pdf?arnumber=9824063

Reference22 articles.

1. Hard turning behaviour improvement using NSGA-II and PSO-NN hybrid model;bouacha;Int J Adv Manuf Technol,2016

2. Software reuse analytics using integrated random forest and gradient boosting machine learning algorithm;sandhu;Softw Pract Exper,2020

3. Software Module Clustering as a Multi-Objective Search Problem

4. A multi-objective search based approach to identify reusable software components

5. JComp: A Reuse-Driven Componentization Framework for Java Applications;li;14th IEEE International Conference on Program Comprehension (ICPC'06),2006

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3. Analysis, Evaluation and Reusability of Virtual Laboratory Software Based on Conceptual Modeling and Conformance Checking;Mathematics;2023-05-04