Interprocedural slicing using dependence graphs
ACM Transactions on Programming Languages and Systems (TOPLAS)
Software metrics (2nd ed.): a rigorous and practical approach
Software metrics (2nd ed.): a rigorous and practical approach
Quantitative Analysis of Faults and Failures in a Complex Software System
IEEE Transactions on Software Engineering
Preliminary guidelines for empirical research in software engineering
IEEE Transactions on Software Engineering
ICSE '81 Proceedings of the 5th international conference on Software engineering
Replicating Software Engineering Experiments: Addressing the Tacit Knowledge Problem
ISESE '02 Proceedings of the 2002 International Symposium on Empirical Software Engineering
Bug Classification Using Program Slicing Metrics
SCAM '06 Proceedings of the Sixth IEEE International Workshop on Source Code Analysis and Manipulation
A Replicated Quantitative Analysis of Fault Distributions in Complex Software Systems
IEEE Transactions on Software Engineering
An empirical study of slice-based cohesion and coupling metrics
ACM Transactions on Software Engineering and Methodology (TOSEM)
The role of replications in Empirical Software Engineering
Empirical Software Engineering
Hi-index | 0.00 |
It is important to develop corpuses of data to test out the efficacy of using metrics. Replicated studies are an important contribution to corpuses of metrics data. There are few replicated studies using metrics reported in software engineering. To contribute more data to the body of evidence on the use of novel program slicing-based cohesion metrics. We replicate a very well regarded study by Meyers and Binkley [15, 16] which analyses the cohesion of open source projects using program slicing-based metrics. Our results are very different from Meyers and Binkley's original results. This suggests that there are a variety of opportunities for inconsistently to creep into the collection and analysis of metrics data during replicated studies. We conclude that researchers using metrics data must present their work with sufficient detail for replication to be possible. Without this detail it is difficult for subsequent researchers to accurately replicate a study such that consistent and reliable data can be added to a body of evidence.