Predicting Fault Incidence Using Software Change History
IEEE Transactions on Software Engineering
Collecting and Analyzing Web-Based Project Metrics
IEEE Software
A Metrics Suite for Object Oriented Design
IEEE Transactions on Software Engineering
DuoTracker: Tool Support for Software Defect Data Collection and Analysis
ICSEA '06 Proceedings of the International Conference on Software Engineering Advances
Predicting Defects for Eclipse
PROMISE '07 Proceedings of the Third International Workshop on Predictor Models in Software Engineering
Adapting a fault prediction model to allow inter languagereuse
Proceedings of the 4th international workshop on Predictor models in software engineering
IEEE Transactions on Software Engineering
| Hi-index | 0.00 |
Defect and change prediction is a very important activity in software development. Predicting erroneous classes of the system early in the software development life cycle will enable early identification of risky classes in the initial phases. This will assist software practitioners in designing and developing software systems of better quality with focused resources and hence take necessary corrective design actions. In this work we describe a framework to develop and calculate the defect fixes and changes made during various versions of a software system. We develop a tool, Configuration Management System (CMS), which uses log files obtained from a Concurrent Versioning System (CVS) repository in order to collect the number of defects from each class. The tool also calculates the number of changes made during each version of the software. This tool will also assist software practitioners and researchers in collecting defect and change data for software systems.