Welcome to the InfoSci Platform
Object-Oriented Cognitive Complexity Measures: An Analysis

Object-Oriented Cognitive Complexity Measures: An Analysis

Sanjay Misra, Adewole Adewumi
Copyright: © 2018 |Pages: 24
ISBN13: 9781522556435|ISBN10: 1522556435|EISBN13: 9781522556442
DOI: 10.4018/978-1-5225-5643-5.ch057
Cite Chapter Cite Chapter

MLA

Misra, Sanjay, and Adewole Adewumi. "Object-Oriented Cognitive Complexity Measures: An Analysis." Intelligent Systems: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2018, pp. 1324-1347. https://doi.org/10.4018/978-1-5225-5643-5.ch057

APA

Misra, S. & Adewumi, A. (2018). Object-Oriented Cognitive Complexity Measures: An Analysis. In I. Management Association (Ed.), Intelligent Systems: Concepts, Methodologies, Tools, and Applications (pp. 1324-1347). IGI Global. https://doi.org/10.4018/978-1-5225-5643-5.ch057

Chicago

Misra, Sanjay, and Adewole Adewumi. "Object-Oriented Cognitive Complexity Measures: An Analysis." In Intelligent Systems: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 1324-1347. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-5643-5.ch057

Export Reference

Mendeley
Favorite

Abstract

This chapter presents the analysis of ten recently proposed object-oriented metrics based on cognitive informatics. The metrics based on cognitive informatics use cognitive weight. Cognitive weight is the representation of the understandability of the piece of software that evaluates the difficulty experienced in comprehending and/or performing the piece of software. Development of metrics based on Cognitive Informatics (CI) is a new area of research, and from this point of view, for the analysis of these metrics, it is important to know their acceptability from other existing evaluation and validation criteria. This chapter presents a critical review on existing object-oriented cognitive complexity measures. In addition, a comparative study based on some selected attributes is presented.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.