An Approach for the Empirical Validation of Software Complexity Measures
No Thumbnail Available
Date
2011
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Budapest Tech
Open Access Color
OpenAIRE Downloads
OpenAIRE Views
Abstract
Software metrics are widely accepted tools to control and assure software quality. A large number of software metrics with a variety of content can be found in the literature; however most of them are not adopted in industry as they are seen as irrelevant to needs, as they are unsupported, and the major reason behind this is due to improper empirical validation. This paper tries to identify possible root causes for the improper empirical validation of the software metrics. A practical model for the empirical validation of software metrics is proposed along with root causes. The model is validated by applying it to recently proposed and well known metrics.
Description
Misra, Sanjay/0000-0002-3556-9331
ORCID
Keywords
Empirical validation, Preliminary empirical validation, advanced empirical validation, software metrics
Turkish CoHE Thesis Center URL
Fields of Science
Citation
10
WoS Q
Q3
Scopus Q
Q1
Source
Volume
8
Issue
2
Start Page
141
End Page
160