A Validation of Object-Oriented Design Metrics as Quality Indicators
IEEE Transactions on Software Engineering
Managerial Use of Metrics for Object-Oriented Software: An Exploratory Analysis
IEEE Transactions on Software Engineering
Software metrics: success, failures and new directions
Journal of Systems and Software - Special issue on invited articles on top systems and software engineering scholars
A Metrics Suite for Object Oriented Design
IEEE Transactions on Software Engineering
Assessing the applicability of fault-proneness models across object-oriented software projects
IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering
A Classification of Crosscutting Concerns
ICSM '05 Proceedings of the 21st IEEE International Conference on Software Maintenance
Empirical Validation of Object-Oriented Metrics on Open Source Software for Fault Prediction
IEEE Transactions on Software Engineering
On the Use of Line Co-change for Identifying Crosscutting Concern Code
ICSM '06 Proceedings of the 22nd IEEE International Conference on Software Maintenance
Predicting Defects for Eclipse
ICSEW '07 Proceedings of the 29th International Conference on Software Engineering Workshops
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In today's environment the relevance of Free Open Source Software Systems is understood and appreciated both in academia and research. The debate about the pros and cons of the open source vis-à-vis proprietary software has been raging from ages ever since Richard Stallman founded the Free Software Foundation in 1985. With the changing trends in the domain of Object Oriented Systems there is a need to measure the fault predictability of software metrics on open source software systems. In this paper we present the results of empirical study which was conducted using open source software, JHotDraw 7.5.1. We computed the object oriented metrics, proposed by Chidamber and Kemmerer, and performed bug- class mapping for the software under study. We also studied the relationship between the revisions made to open source software and its software metrics measure.