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Towards a metrics suite for object oriented design
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Object-oriented metrics that predict maintainability
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A Validation of Object-Oriented Design Metrics as Quality Indicators
IEEE Transactions on Software Engineering
Predicting Fault-Prone Software Modules in Telephone Switches
IEEE Transactions on Software Engineering
A metrics-based approach to the automated identification of object-oriented reusable software components
Another metric suite for object-oriented programming
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A Hierarchical Model for Object-Oriented Design Quality Assessment
IEEE Transactions on Software Engineering
Software Engineering Economics
Software Engineering Economics
A Metrics Suite for Object Oriented Design
IEEE Transactions on Software Engineering
Measuring Design-Level Cohesion
IEEE Transactions on Software Engineering
Recovering Traceability Links between Code and Documentation
IEEE Transactions on Software Engineering
Journal of Software Maintenance: Research and Practice
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DSN '00 Proceedings of the 2000 International Conference on Dependable Systems and Networks (formerly FTCS-30 and DCCA-8)
Towards a Semantic Metrics Suite for Object-Oriented Design
TOOLS '00 Proceedings of the Technology of Object-Oriented Languages and Systems (TOOLS 34'00)
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ISSRE '98 Proceedings of the The Ninth International Symposium on Software Reliability Engineering
An Analysis Framework for Understanding Layered Software Architectures
IWPC '98 Proceedings of the 6th International Workshop on Program Comprehension
An approach to program understanding by natural language understanding
Natural Language Engineering
Design pattern density defined
Proceedings of the 24th ACM SIGPLAN conference on Object oriented programming systems languages and applications
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Software metrics can provide an automated way for software practitioners to assess the quality of their software. The earlier in the software development lifecycle this information is available, the more valuable it is, since changes are much more expensive to make later in the lifecycle.Semantic metrics, introduced by Etzkorn and Delugach, assess software according to the meaning of the software's functionality in its domain. This is in contrast to traditional metrics, which use syntax measures to assess code. Because semantic metrics do not rely on the syntax or structure of code, they can be computed from requirements or design specifications before the system has been implemented. This paper focuses on using semantic metrics to assess systems that have not yet been implemented.