Optimized neuro-PSO-based software maintainability prediction using relief features selection method
The recent development in software engineering reveals the importance of software maintenance during the time of software development that is becoming more important in software development environment and software metrics, which are very essential for measuring the maintainability of software, soft...
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| Main Authors: | , |
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| Format: | EJournal Article |
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Institute of Advanced Engineering and Science,
2019-09-01.
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| Subjects: | |
| Online Access: | Get fulltext |
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| LEADER | 02335 am a22003013u 4500 | ||
|---|---|---|---|
| 001 | ijeecs12165_12974 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Baskar, N. |e author |
| 100 | 1 | 0 | |e contributor |
| 700 | 1 | 0 | |a Chandrasekar, C |e author |
| 245 | 0 | 0 | |a Optimized neuro-PSO-based software maintainability prediction using relief features selection method |
| 260 | |b Institute of Advanced Engineering and Science, |c 2019-09-01. | ||
| 500 | |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/12165 | ||
| 520 | |a The recent development in software engineering reveals the importance of software maintenance during the time of software development that is becoming more important in software development environment and software metrics, which are very essential for measuring the maintainability of software, software complexity, estimating size, quality and project efforts. There are various approaches through which one can estimate the software cost and predict on various kinds of deliverable items. This paper aims at developing an optimized Neuro-PSO-based software maintainability prediction model by applying the dimensionality reduction using relief feature selection method for identifying the optimal feature subsets in order to increase the accuracy and reduce the time complexity of the prediction model. The simulation result proves the performance of the proposed model which will be more beneficial for the software developers in predicting the maintenance of the software in advance. | ||
| 540 | |a Copyright (c) 2018 Institute of Advanced Engineering and Science | ||
| 540 | |a http://creativecommons.org/licenses/by-nc/4.0 | ||
| 546 | |a eng | ||
| 690 | |a Computer Science; Software Engineering | ||
| 690 | |a Software maintenance, Neuro-PSO, Object Oriented, Dimensionality Reduction, Relief Feature Selection | ||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 15, No 3: September 2019; 1517-1526 | |
| 786 | 0 | |n 2502-4760 | |
| 786 | 0 | |n 2502-4752 | |
| 786 | 0 | |n 10.11591/ijeecs.v15.i3 | |
| 787 | 0 | |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/12165/12974 | |
| 856 | 4 | 1 | |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/12165/12974 |z Get fulltext |