Tool supported detection and judgment of nonconformance in process execution
ESEM '09 Proceedings of the 2009 3rd International Symposium on Empirical Software Engineering and Measurement
The evolution and impact of code smells: A case study of two open source systems
ESEM '09 Proceedings of the 2009 3rd International Symposium on Empirical Software Engineering and Measurement
Building empirical support for automated code smell detection
Proceedings of the 2010 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement
Are developers complying with the process: an XP study
Proceedings of the 2010 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement
A case study on effectively identifying technical debt
Proceedings of the 17th International Conference on Evaluation and Assessment in Software Engineering
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This extended poster abstract presents a software visualization tool (CodeVizard) that helps researchers and managers to analyze software repository data. The tool focuses on identifying areas of risks in software development projects, such as: Code Smells, degrading architectures, increasing software complexity, lack of documentation, process violations, and issues of code ownership. CodeVizard has been used to support six empirical studies, whose results have been published. This extended abstract gives a short summary of the important empirical results and features.