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  1. Proceedings of the 5th International Workshop on Emerging Trends in Software Metrics (WETSoM 2014)
  2. Using fine-grained code change metrics to simulate software evolution
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What can changes tell about software processes?
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Using fine-grained code change metrics to simulate software evolution
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Towards a catalog format for software metrics
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Using fine-grained code change metrics to simulate software evolution

Content Provider ACM Digital Library
Author Lin, Zhongpeng Whitehead, Jim
Abstract Software evolution simulation can provide support for making informed design decisions. In this research, we explored the distributions of fine-grained code change (FGCC) metrics and used them to build a simple simulator to evolve an existing source code file. The simulator generates synthetic changes to modify the source code analogous to how the code evolves in actual settings. By comparing the simulated evolution with the actual one, we found that the number and types of synthetic changes have no significant difference from those of the actual changes. Furthermore, the simulator is able to produce syntactically correct Java code, allowing us to analyze its static code metrics. The analysis shows that the distributions of method and field counts both have short tails at their left side, making it helpful in estimating the lower bounds for software growth. However, the actual method count falls below the distribution range produced by the simulation runs, indicating more sophisticated simulators are needed. .
Starting Page 15
Ending Page 18
Page Count 4
File Format PDF
ISBN 9781450328548
DOI 10.1145/2593868.2593871
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2014-06-03
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Software evolution Fine-grained code changes Simulation
Content Type Text
Resource Type Article
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