Unified complexity measure: a measure of complexity

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Date

2010

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Publisher

Natl Acad Sciences india

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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).

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Abstract

This paper proposes a new complexity metric. The proposed metric is a unified complexity measure (UCM) and includes all major factors responsible for the complexity of a program including cognitive aspects. The applicability of the measure is evaluated through empirical, theoretical and practical validation processes. The test cases and comparative study prove its soundness and robustness.

Description

Misra, Sanjay/0000-0002-3556-9331
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Misra, Sanjay ORCID logo

Keywords

software complexity, metric, cognitive complexity, evaluation criteria, empirical validation

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Fields of Science

Citation

7

WoS Q

Q4

Scopus Q

Q3

Source

Volume

80A

Issue

Start Page

167

End Page

176

URI

https://hdl.handle.net/20.500.14411/8782

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