On The Detection of Test Smells: A Metrics-Based Approach for General Fixture and Eager Test
IEEE Transactions on Software Engineering
A catalogue of lightweight visualizations to support code smell inspection
Proceedings of the 4th ACM symposium on Software visualization
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
Adaptive Detection of Design Flaws
Electronic Notes in Theoretical Computer Science (ENTCS)
Is a strategy for code smell assessment long overdue?
Proceedings of the 2010 ICSE Workshop on Emerging Trends in Software Metrics
Building empirical support for automated code smell detection
Proceedings of the 2010 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement
An interactive ambient visualization for code smells
Proceedings of the 5th international symposium on Software visualization
An exploratory study to investigate the impact of conceptualization in god class detection
Proceedings of the 17th International Conference on Evaluation and Assessment in Software Engineering
To what extent can maintenance problems be predicted by code smell detection? - An empirical study
Information and Software Technology
| Hi-index | 0.00 |
This paper presents the results of an initial empirical study on the subjective evaluation of bad code smells, which identify poor structures in software. Based on a case study in a Finnish software product company, we make two contributions. First, we studied the evaluator effect when subjectively evaluating the existence of smells in code modules. We found that the use of smells for code evaluation purposes is hard due to conflicting perceptions of different evaluators. Second, we applied source code metrics for identifying three smells and compared these results to the subjective evaluations. Surprisingly, the metrics and smell evaluations did not correlate.