3 results
Search Results
Now showing 1 - 3 of 3
Article Citation - WoS: 7Citation - Scopus: 10Unified complexity measure: a measure of complexity(Natl Acad Sciences india, 2010) Misra, Sanjay; Akman, Ibrahim; Computer EngineeringThis 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.Article Citation - WoS: 24Citation - Scopus: 40An Inheritance Complexity Metric for Object-Oriented Code: a Cognitive Approach(Springer india, 2011) Misra, Sanjay; Akman, Ibrahim; Koyuncu, MuratSoftware metrics should be used in order to improve the productivity and quality of software, because they provide critical information about reliability and maintainability of the system. In this paper, we propose a cognitive complexity metric for evaluating design of object-oriented (OO) code. The proposed metric is based on an important feature of the OO systems: Inheritance. It calculates the complexity at method level considering internal structure of methods, and also considers inheritance to calculate the complexity of class hierarchies. The proposed metric is validated both theoretically and empirically. For theoretical validation, principles of measurement theory are applied since the measurement theory has been proposed and extensively used in the literature as a means to evaluate the software engineering metrics. We applied our metric on a real project for empirical validation and compared it with Chidamber and Kemerer (CK) metrics suite. The theoretical, practical and empirical validations and the comparative study prove the robustness of the measure.Conference Object Citation - WoS: 8A Model for Measuring Cognitive Complexity of Software(Springer-verlag Berlin, 2008) Misra, Sanjay; Akman, IbrahimThis paper proposes a model for calculating cognitive complexity of a code. This model considers all major factors responsible for (cognitive) complexity. The practical applicability of the measure is evaluated through experimentation, test cases and comparative study.
