Coding and information theory (2nd ed.)
Coding and information theory (2nd ed.)
A Study of the Applicability of Complexity Measures
IEEE Transactions on Software Engineering
An Entropy-Based Measure of Software Complexity
IEEE Transactions on Software Engineering - Special issue on software measurement principles, techniques, and environments
Property-Based Software Engineering Measurement
IEEE Transactions on Software Engineering
ICCI '02 Proceedings of the 1st IEEE International Conference on Cognitive Informatics
Entropy metric for XML DTD documents
ACM SIGSOFT Software Engineering Notes
Software Engineering: A Practitioner's Approach
Software Engineering: A Practitioner's Approach
Entropy metrics for software design evaluation
Journal of Systems and Software
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Web applications are becoming important for small and large companies since they are integrated with their business strategies. Cascading Style Sheets (CSS) however are an integral part of contemporary Web applications that are perceived as complex by users and this result in hampering its widespread adoption. The factors responsible for CSS complexity include size, variety in its rule block structures, rule block reuse, cohesion and attribute definition in rule blocks. In this paper, we have proposed relevant metric for each of the complexity factors. The proposed metrics are validated through a practical framework. The outcome shows that the proposed metrics satisfy most of the parameters required by the practical framework hence establishing them as well structured.