Evaluating Software Complexity Measures
IEEE Transactions on Software Engineering
Deriving structurally based software measures
Journal of Systems and Software - An Oregon workshop on software metrics
Software measurement: a conceptual framework
Journal of Systems and Software - An Oregon workshop on software metrics
A mathematical perspective for software measures research
Software Engineering Journal
On Weyuker's Axioms for Software Complexity Measures
IEEE Transactions on Software Engineering
Properties of Control-Flow Complexity Measures
IEEE Transactions on Software Engineering
A formal program complexity model and its application
Journal of Systems and Software
When a software measure is not a measure
Software Engineering Journal
Real-time complexity metrics for Smalltalk methods
IBM Systems Journal
Property-Based Software Engineering Measurement
IEEE Transactions on Software Engineering
Complexity Measure Evaluation and Selection
IEEE Transactions on Software Engineering
Proceedings of the 2002 ACM symposium on Applied computing
Coupling and cohesion metrics for knowledge-based systems using frames and rules
ACM Transactions on Software Engineering and Methodology (TOSEM)
Refining the axiomatic definition of internal software attributes
Proceedings of the Second ACM-IEEE international symposium on Empirical software engineering and measurement
Analysis of a metamodel to estimate complexity of using a domain-specific language
Proceedings of the 10th Workshop on Domain-Specific Modeling
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The recently published measure property set of Briand, Morasca, and Basili [1] establishes the foundation of a real software measurement theory. Unfortunately, a number of inconsistencies related to additivity properties might hinder its acceptance and further elaboration. In this paper, it is shown how to remove the ambiguity in the property definitions.