Evaluating Software Complexity Measures
IEEE Transactions on Software Engineering
Object-oriented metrics that predict maintainability
Journal of Systems and Software - Special issue on object-oriented software
Property-Based Software Engineering Measurement
IEEE Transactions on Software Engineering
Object-oriented metrics: measures of complexity
Object-oriented metrics: measures of complexity
Applied software measurement (2nd ed.): assuring productivity and quality
Applied software measurement (2nd ed.): assuring productivity and quality
Inter-item correlations among function points
ICSE '93 Proceedings of the 15th international conference on Software Engineering
Function point analysis: measurement practices for successful software projects
Function point analysis: measurement practices for successful software projects
Software Metrics: A Rigorous and Practical Approach
Software Metrics: A Rigorous and Practical Approach
Function Point Analysis: Difficulties and Improvements
IEEE Transactions on Software Engineering
Object-Oriented Function Points: An Empirical Validation
Empirical Software Engineering
Class Point: An Approach for the Size Estimation of Object-Oriented Systems
IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering
Refining the axiomatic definition of internal software attributes
Proceedings of the Second ACM-IEEE international symposium on Empirical software engineering and measurement
A probability-based approach for measuring external attributes of software artifacts
ESEM '09 Proceedings of the 2009 3rd International Symposium on Empirical Software Engineering and Measurement
An empirical investigation of perceived reliability of open source Java programs
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Quality indicators for business process models from a gateway complexity perspective
Information and Software Technology
Assessing the open source development processes using OMM
Advances in Software Engineering
Towards a simplified definition of Function Points
Information and Software Technology
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Several widely used functionality measures, quality models, and other measures have been defined in Empirical Software Engineering by using weighted sums. The apparent simplicity in the definition and interpretation of weighted sums make them one of the preferred ways for defining new measures. However, they have a few inherent issues that may make their definition and use quite problematic. This paper provides a critical investigation about the intuition behind weighted sums and their theoretical and empirical validation pitfalls that may make them questionable when used in the definition of meaningful and practically useful measures. Using estimation models may alleviate at least some of the problems with weighted sums.