Validation of network measures as indicators of defective modules in software systems
PROMISE '09 Proceedings of the 5th International Conference on Predictor Models in Software Engineering
Model-based testing approaches selection for software projects
Information and Software Technology
Evaluation of {model-based} testing techniques selection approaches: An external replication
ESEM '09 Proceedings of the 2009 3rd International Symposium on Empirical Software Engineering and Measurement
Replications types in experimental disciplines
Proceedings of the 2010 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement
Testing techniques in software engineering
Testing techniques in software engineering
The role of non-exact replications in software engineering experiments
Empirical Software Engineering
Replication of software engineering experiments
Empirical Software Engineering and Verification
On the impact of UML analysis models on source-code comprehensibility and modifiability
ACM Transactions on Software Engineering and Methodology (TOSEM)
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Experimental replications are very important to the advancement of empirical software engineering. Replications are one of the key mechanisms to confirm previous experimental findings. They are also used to transfer experimental knowledge, to train people, and to expand a base of experimental evidence. Unfortunately, experimental replications are difficult endeavors. It is not easy to transfer experimental know-how and experimental findings. Based on our experience, this paper discusses this problem and proposes a Framework for Improving the Replication of Experiments (FIRE). The FIRE addresses knowledge sharing issues both at the intra-group (internal replications) and inter-group (external replications) levels. It encourages coordination of replications in order to facilitate knowledge transfer for lower cost, higher quality replications and more generalizable results.