A Suite of Cognitive Complexity Metrics

No Thumbnail Available

Date

2012

Authors

Journal Title

Journal ISSN

Volume Title

Publisher

Springer-verlag Berlin

Open Access Color

OpenAIRE Downloads

OpenAIRE Views

Research Projects

Organizational Units

Thumbnail Image
Organizational Unit
Computer Engineering
(1998)
The Atılım University Department of Computer Engineering was founded in 1998. The department curriculum is prepared in a way that meets the demands for knowledge and skills after graduation, and is subject to periodical reviews and updates in line with international standards. Our Department offers education in many fields of expertise, such as software development, hardware systems, data structures, computer networks, artificial intelligence, machine learning, image processing, natural language processing, object based design, information security, and cloud computing. The education offered by our department is based on practical approaches, with modern laboratories, projects and internship programs. The undergraduate program at our department was accredited in 2014 by the Association of Evaluation and Accreditation of Engineering Programs (MÜDEK) and was granted the label EUR-ACE, valid through Europe. In addition to the undergraduate program, our department offers thesis or non-thesis graduate degree programs (MS).
Thumbnail Image
Organizational Unit
Information Systems Engineering
Information Systems is an academic and professional discipline which follows data collection, utilization, storage, distribution, processing and management processes and modern technologies used in this field. Our department implements a pioneering and innovative education program that aims to raise the manpower, able to meet the changing and developing needs and expectations of our country and the world. Our courses on current information technologies especially stand out.

Journal Issue

Abstract

In this paper, we propose a suite of cognitive metrics for evaluating complexity of object-oriented (OO) codes. The proposed metric suite evaluates several important features of OO languages. Specifically, the proposed metrics are to measure method complexity, message complexity (coupling), attributes complexity and class complexity. We propose also a code complexity by considering the complexity due to inheritance for the whole system. All these proposed metrics (except attribute complexity) use the cognitive aspect of the code in terms of cognitive weight. All the metrics have critically examined through theoretical and empirical validation processes.

Description

Koyuncu, Murat/0000-0003-1958-5945; Misra, Sanjay/0000-0002-3556-9331; Mateos, Cristian/0000-0001-5761-1898; Zunino, Alejandro/0000-0002-9537-3541
ORCID
Koyuncu, Murat ORCID logo
Misra, Sanjay ORCID logo
Mateos, Cristian ORCID logo
Zunino, Alejandro ORCID logo

Keywords

software metrics, methods, messages, attributes, class, coupling, inheritance, cognitive complexity, validation

Turkish CoHE Thesis Center URL

Fields of Science

Citation

11

WoS Q

N/A

Scopus Q

Q3

Source

12th International Conference on Computational Science and Its Applications (ICCSA) -- JUN 18-21, 2012 -- Salvador de Bahia, BRAZIL

Volume

7336

Issue

Start Page

234

End Page

247

URI

https://hdl.handle.net/20.500.14411/8538

Collections

WOS