Bhatia, Pradeep Kumar. Validation of object-oriented static and dynamic metrics. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2021.
Validation of object-oriented static and dynamic metrics
Abstract:
Dynamic metrics play a vital role to uncover features
like dynamic binding, polymorphism, runtime cohesion, etc.,
whereas static metrics failed to capture these features of objectoriented
(OO) programming languages. Many techniques exist in
literature to perform dynamic software analysis, whereas aspectoriented
programming (AOP) has a transparent edge on other
approaches. Therefore, in this paper, a new set of dynamic metrics
for cohesion, complexity, and polymorphism measures of OO
software is proposed. AspectJ tool evaluates these metrics by
designing new aspects using aspect-oriented programming (AOP)
on the Eclipse platform. Further, theoretical validation of proposed
metrics is done based on Briands framework, and it is concluded
that the proposed set of dynamic metrics satisfies all the properties
of Briands framework and helps the software industry improve
software quality.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2021
Modified:
2024-06-14
Issued:
2024-06-14
บทความ/Article
application/pdf
BibliograpyCitation :
In IEEE Computer Society. 2021 Fourth International Conference on Computational Intelligence and Communication Technologies (CCICT 2021) (pp.406-411). Los Alamitos, CA : IEEE Computer Society