Predicting maintainability of object-oriented software using metric threshold
This study presents the empirical investigation into maintainability of software using Chidamber and Kemmerer Metric suite. The study used metric threshold to propose the model for predicting maintainability of object-oriented software. Two geospatial software systems were used to identify the exten...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Asian Network for Scientific Information
2014
|
Online Access: | http://psasir.upm.edu.my/id/eprint/34987/1/Predicting%20maintainability%20of%20object-oriented%20software%20using%20metric%20threshold.pdf http://psasir.upm.edu.my/id/eprint/34987/ http://scialert.net/abstract/?doi=itj.2014.1540.1547 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.upm.eprints.34987 |
---|---|
record_format |
eprints |
spelling |
my.upm.eprints.349872016-10-11T02:22:53Z http://psasir.upm.edu.my/id/eprint/34987/ Predicting maintainability of object-oriented software using metric threshold Bakar, Abubakar Diwani Md Sultan, Abu Bakar Zulzalil, Hazura Din, Jamilah This study presents the empirical investigation into maintainability of software using Chidamber and Kemmerer Metric suite. The study used metric threshold to propose the model for predicting maintainability of object-oriented software. Two geospatial software systems were used to identify the extent on which the metrics in Chidamber and Kemmerer suite can be used to track the needed efforts during maintenance phase. Linear Discriminant Analysis was used to find the performance measurement for each metric in order to understand their overall effect on particular software product. The results indicated the significant impact of the Chidamber and Kemmerer metrics in predicting maintainability when threshold are used over experts’ opinions. Moreover, the results found the important role of size and inheritance metrics in predicting maintainability of Object-oriented software and highlighted the needs for further empirical investigation. This is specifically on the production of more metrics thresholds that give researchers and practitioners a room to work on more metrics. Asian Network for Scientific Information 2014 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/34987/1/Predicting%20maintainability%20of%20object-oriented%20software%20using%20metric%20threshold.pdf Bakar, Abubakar Diwani and Md Sultan, Abu Bakar and Zulzalil, Hazura and Din, Jamilah (2014) Predicting maintainability of object-oriented software using metric threshold. Information Technology Journal, 13 (8). pp. 1540-1547. ISSN 1812-5638; ESSN: 1812-5646 http://scialert.net/abstract/?doi=itj.2014.1540.1547 10.3923/itj.2014.1540.1547 |
institution |
Universiti Putra Malaysia |
building |
UPM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Putra Malaysia |
content_source |
UPM Institutional Repository |
url_provider |
http://psasir.upm.edu.my/ |
language |
English |
description |
This study presents the empirical investigation into maintainability of software using Chidamber and Kemmerer Metric suite. The study used metric threshold to propose the model for predicting maintainability of object-oriented software. Two geospatial software systems were used to identify the extent on which the metrics in Chidamber and Kemmerer suite can be used to track the needed efforts during maintenance phase. Linear Discriminant Analysis was used to find the performance measurement for each metric in order to understand their overall effect on particular software product. The results indicated the significant impact of the Chidamber and Kemmerer metrics in predicting maintainability when threshold are used over experts’ opinions. Moreover, the results found the important role of size and inheritance metrics in predicting maintainability of Object-oriented software and highlighted the needs for further empirical investigation. This is specifically on the production of more metrics thresholds that give researchers and practitioners a room to work on more metrics. |
format |
Article |
author |
Bakar, Abubakar Diwani Md Sultan, Abu Bakar Zulzalil, Hazura Din, Jamilah |
spellingShingle |
Bakar, Abubakar Diwani Md Sultan, Abu Bakar Zulzalil, Hazura Din, Jamilah Predicting maintainability of object-oriented software using metric threshold |
author_facet |
Bakar, Abubakar Diwani Md Sultan, Abu Bakar Zulzalil, Hazura Din, Jamilah |
author_sort |
Bakar, Abubakar Diwani |
title |
Predicting maintainability of object-oriented software using metric threshold |
title_short |
Predicting maintainability of object-oriented software using metric threshold |
title_full |
Predicting maintainability of object-oriented software using metric threshold |
title_fullStr |
Predicting maintainability of object-oriented software using metric threshold |
title_full_unstemmed |
Predicting maintainability of object-oriented software using metric threshold |
title_sort |
predicting maintainability of object-oriented software using metric threshold |
publisher |
Asian Network for Scientific Information |
publishDate |
2014 |
url |
http://psasir.upm.edu.my/id/eprint/34987/1/Predicting%20maintainability%20of%20object-oriented%20software%20using%20metric%20threshold.pdf http://psasir.upm.edu.my/id/eprint/34987/ http://scialert.net/abstract/?doi=itj.2014.1540.1547 |
_version_ |
1643831319449305088 |
score |
13.211869 |