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Article Citation - WoS: 4Citation - Scopus: 5Object-Oriented Inheritance Metrics in the Context of Cognitive Complexity(Ios Press, 2011) Mishra, Deepti; Mishra, AlokIt is important to identify modules that are fault prone or exhibit evidence of high cognitive complexity as these modules require corrective actions such as increased source code inspection, refactoring or performing more exhaustive testing. This can lead to a better quality software system. It has been found that inheritance has an impact on the cognitive complexity of a software system. In this paper, two inheritance metrics based on cognitive complexity, one at class level CCI (Class Complexity due to Inheritance) and another at program level ACI (Average Complexity of a program due to Inheritance), have been proposed for object-oriented software systems. Additionally, one more metric MC (Method Complexity) has been proposed to calculate the complexity of a method. These proposed metrics are compared with some well known object-oriented inheritance metrics by calculating their values for three random C++ programs. It has been observed that CCI and ACT are better to represent cognitive complexity due to inheritance than other well known class level and program level inheritance metrics.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.Conference Object Citation - Scopus: 26A Suite of Cognitive Complexity Metrics(2012) Misra,S.; Koyuncu,M.; Crasso,M.; Mateos,C.; Zunino,A.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. © 2012 Springer-Verlag.Article Citation - WoS: 32Citation - Scopus: 46Weighted Class Complexity: a Measure of Complexity for Object Oriented System(inst information Science, 2008) Misra, Sanjay; Akman, K. Ibrahim; Computer EngineeringSoftware complexity metrics are used to predict critical information about reliability and maintainability of software systems. Object oriented software development requires a different approach to software complexity metrics. In this paper, we propose a metric to compute the structural and cognitive complexity of class by associating a weight to the class, called as Weighted Class Complexity (WCC). On the contrary, of the other metrics used for object oriented systems, proposed metric calculates the complexity of a class due to methods and attributes in terms of cognitive weight. The proposed metric has been demonstrated with 00 examples. The theoretical and practical evaluations based on the information theory have shown that the proposed metric is on ratio scale and satisfies most of the parameters required by the measurement theory.Article Citation - WoS: 3Citation - Scopus: 3The Impact of Cognitive and Socio-Demographic Factors at Meetings During Software Development Process(Univ Osijek, Tech Fac, 2011) Akman, Ibrahim; Misra, Sanjay; Altindag, Tugba; Computer EngineeringMost of the important decisions are taken at team meetings during software development process (SDP) and the way of thinking of project leader plays an important role in achieving quality objectives at these team meetings. Considering this important issue, this paper investigates the impact of cognitive and socio-demographic factors on manager's simple thinking style towards improving the quality of team meetings in SDP. We have performed experimentations among Information and Communication Technologies' (ICT) senior professionals and managers from government and private sector organizations for this purpose. The hypotheses have been developed under different empirical categories and then statistical analysis techniques have been used to draw inferences. The results indicate that "type of team meetings", "project leader's cognitive characteristics" and "adoption of a cognitive model at team meetings" have statistically significant impact on manager's simple thinking in terms of improving productivity and contribution of team meetings.
