Software engineering metrics and models
Software engineering metrics and models
Towards a metrics suite for object oriented design
OOPSLA '91 Conference proceedings on Object-oriented programming systems, languages, and applications
Object-oriented metrics that predict maintainability
Journal of Systems and Software - Special issue on object-oriented software
Cohesion and reuse in an object-oriented system
SSR '95 Proceedings of the 1995 Symposium on Software reusability
An investigation into coupling measures for C++
ICSE '97 Proceedings of the 19th international conference on Software engineering
An Evaluation of the MOOD Set of Object-Oriented Software Metrics
IEEE Transactions on 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
Change Impact Identification in Object Oriented Software Maintenance
ICSM '94 Proceedings of the International Conference on Software Maintenance
A Measurement Tool for Object Oriented Software and Measurement Experiments with It
IWSM '00 Proceedings of the 10th International Workshop on New Approaches in Software Measurement
IEEE Transactions on Software Engineering
Evaluating the Impact of Object-Oriented Design on Software Quality
METRICS '96 Proceedings of the 3rd International Symposium on Software Metrics: From Measurement to Empirical Results
Investigation into the exploitation of Object-Oriented features
ACM SIGSOFT Software Engineering Notes
Vector space based on hierarchical weighting: a component ranking approach to component retrieval
APPT'05 Proceedings of the 6th international conference on Advanced Parallel Processing Technologies
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This paper provides an account of new measures of coupling developed to assess the reusability of Java components retrieved from the internet by a search engine. These measures differ from the majority of established metrics in two respects: they reflect the degree to which entities are coupled or resemble each other, and they take account of indirect couplings or similarities. An empirical comparison of the new measures with eight established metrics is described. The new measure is shown to be consistently superior at ranking components according to their reusability.