Software engineering metrics and models
Software engineering metrics and models
Reference Model for Smooth Growth of Software Systems
IEEE Transactions on Software Engineering
Metrics and Models in Software Quality Engineering
Metrics and Models in Software Quality Engineering
The reference model for smooth growth of software systems revisited
IEEE Transactions on Software Engineering
Metrics and Laws of Software Evolution - The Nineties View
METRICS '97 Proceedings of the 4th International Symposium on Software Metrics
An Approach to Modelling Long-Term Growth Trends in Software Systems
ICSM '01 Proceedings of the IEEE International Conference on Software Maintenance (ICSM'01)
Evolution in Open Source Software: A Case Study
ICSM '00 Proceedings of the International Conference on Software Maintenance (ICSM'00)
Evolution and Growth in Large Libre Software Projects
IWPSE '05 Proceedings of the Eighth International Workshop on Principles of Software Evolution
Comparison between SLOCs and number of files as size metrics for software evolution analysis
CSMR '06 Proceedings of the Conference on Software Maintenance and Reengineering
Reading beside the lines: Using indentation to rank revisions by complexity
Science of Computer Programming
Predicting faults using the complexity of code changes
ICSE '09 Proceedings of the 31st International Conference on Software Engineering
Research friendly software repositories
Proceedings of the joint international and annual ERCIM workshops on Principles of software evolution (IWPSE) and software evolution (Evol) workshops
Multifractal aspects of software development (NIER track)
Proceedings of the 33rd International Conference on Software Engineering
High-impact defects: a study of breakage and surprise defects
Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software engineering
Controversy Corner: On the relationship between comment update practices and Software Bugs
Journal of Systems and Software
An industrial study on the risk of software changes
Proceedings of the ACM SIGSOFT 20th International Symposium on the Foundations of Software Engineering
ACM Computing Surveys (CSUR)
CASCON '13 Proceedings of the 2013 Conference of the Center for Advanced Studies on Collaborative Research
Mining the impact of evolution categories on object-oriented metrics
Software Quality Control
Bug prediction using entropy-based measures
International Journal of Knowledge Engineering and Data Mining
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Software growth (and more broadly, software evolution) is usually considered in terms of size or complexity of source code. However in different studies, usually different metrics are used, which make it difficult to compare approaches and results. In addition, not all metrics are equally easy to cal- culate for a given source code, which leads to the ques- tion of which one is the easiest to calculate without losing too much information. To address both issues, in this pa- per present a comprehensive study, based on the analysis of about 700,000 C source code files, calculating several size and complexity metrics for all of them. For this sample, we have found double Pareto statistical distributions for all metrics considered, and a high correlation between any two of them. This would imply that any model addressing soft- ware growth should produce this Pareto distributions, and that analysis based on any of the considered metrics should show a similar pattern, provided the sample of files consid- ered is large enough.