JOURNAL ARTICLE

Investigation of software maintainability prediction models

Aida ShafiabadyMohd Naz’ri MahrinMasoud Samadi

Year: 2016 Journal:   2016 18th International Conference on Advanced Communication Technology (ICACT) Vol: se 11 Pages: 783-786

Abstract

Software must be well developed and maintainable to adapt to the constantly changing requirement of the competitive world. In this article, we distinct different software maintainability prediction models and techniques which can help us to predict the maintainability of software, and can lead us to minimum the effort required to fix the faults in the software and the software will be more maintainable. We have gathered our data from different studies focused on the accuracy of the prediction models as criteria. The results of our study showed that there is a little evidence on the accuracy results of the software maintainability prediction models.

Keywords:
Maintainability Computer science Software Software metric Software sizing Verification and validation Software engineering Reliability engineering Software construction Software maintenance Predictive modelling Software development Engineering Machine learning Programming language

Metrics

7
Cited By
1.47
FWCI (Field Weighted Citation Impact)
25
Refs
0.83
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Software Engineering Research
Physical Sciences →  Computer Science →  Information Systems
Software Reliability and Analysis Research
Physical Sciences →  Computer Science →  Software
Software System Performance and Reliability
Physical Sciences →  Computer Science →  Computer Networks and Communications

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