Software complexity measurement
Communications of the ACM
Experimentation in software engineering
IEEE Transactions on Software Engineering
The Use of Software Complexity Metrics in Software Maintenance
IEEE Transactions on Software Engineering
Software engineering metrics and models
Software engineering metrics and models
Evaluating Software Complexity Measures
IEEE Transactions on Software Engineering
Measuring software design quality
Measuring software design quality
An evaluation of some design metrics
Software Engineering Journal - Special issue: on software reliability and metrics
A mathematical perspective for software measures research
Software Engineering Journal
Towards a metrics suite for object oriented design
OOPSLA '91 Conference proceedings on Object-oriented programming systems, languages, and applications
Rigor in software complexity measurement experimentation
Journal of Systems and Software
Methodology for Validating Software Metrics
IEEE Transactions on Software Engineering
Maintenance Support for Object-Oriented Programs
IEEE Transactions on Software Engineering - Special issue on software maintenance
Shotgun correlations in software measures
Software Engineering Journal
Five principles for the formal validation of models of software metrics
ACM SIGPLAN Notices
Some coupling measures for C++ programs
TOOLS 8 Proceedings of the eighth international conference on Technology of object oriented languages and systems
Object-oriented software metrics: a practical guide
Object-oriented software metrics: a practical guide
Candidate metrics for object-oriented software within a taxonomy framework
Journal of Systems and Software - Special issue on achieving quality in software
Comments on 'A Metrics Suite for Object Oriented Design'
IEEE Transactions on Software Engineering
Property-Based Software Engineering Measurement
IEEE Transactions on Software Engineering
Object-oriented metrics: measures of complexity
Object-oriented metrics: measures of complexity
A Validation of Object-Oriented Design Metrics as Quality Indicators
IEEE Transactions on Software Engineering
An investigation into coupling measures for C++
ICSE '97 Proceedings of the 19th international conference on Software engineering
Software Metrics: A Rigorous Approach
Software Metrics: A Rigorous Approach
A Unified Framework for Cohesion Measurement in Object-OrientedSystems
Empirical Software Engineering
Software Measurement: A Necessary Scientific Basis
IEEE Transactions on Software Engineering
A Metrics Suite for Object Oriented Design
IEEE Transactions on Software Engineering
Chidamber and Kemerer's Metrics Suite: A Measurement Theory Perspective
IEEE Transactions on Software Engineering
A Software Complexity Metric for C++
A Software Complexity Metric for C++
Empirical Software Engineering
An Empirical Validation of Object-Oriented Metrics in Two Different Iterative Software Processes
IEEE Transactions on Software Engineering
Spatial Complexity Metrics: An Investigation of Utility
IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering
Single and multi-objective genetic operators in object-oriented conceptual software design
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Quality of manual data collection in Java software: an empirical investigation
Empirical Software Engineering
Modeling the Effect of Size on Defect Proneness for Open-Source Software
PROMISE '07 Proceedings of the Third International Workshop on Predictor Models in Software Engineering
Building measure-based prediction models for UML class diagram maintainability
Empirical Software Engineering
Fault detection and prediction in an open-source software project
PROMISE '09 Proceedings of the 5th International Conference on Predictor Models in Software Engineering
A replicated and refined empirical study of the use of friends in C++ software
Journal of Systems and Software
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In this paper weconsider empirical evidence in support of a set of object-orientedsoftware metrics. In particular, we look at the object orienteddesign metrics of Chidamber and Kemerer, and their applicabilityin different application domains. We brieflydescribe the metrics, and present our empirical findings, arisingfrom our analysis of systems taken from a number of differentapplication domains. Our investigations have led us to concludethat a subset of the metrics can be of great value to softwaredevelopers, maintainers and project managers.