Static extraction of program configuration options

  • Authors:
  • Ariel Rabkin;Randy Katz

  • Affiliations:
  • University of California, Berkeley, Berkeley, CA, USA;University of California, Berkeley, Berkeley, CA, USA

  • Venue:
  • Proceedings of the 33rd International Conference on Software Engineering
  • Year:
  • 2011

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Abstract

Many programs use a key-value model for configuration options. We examined how this model is used in seven open source Java projects totaling over a million lines of code. We present a static analysis that extracts a list of configuration options for a program. Our analysis finds 95% of the options read by the programs in our sample, making it more complete than existing documentation. Most configuration options we saw fall into a small number of types. A dozen types cover 90% of options. We present a second analysis that exploits this fact, inferring a type for most options. Together, these analyses enable more visibility into program configuration, helping reduce the burden of configuration documentation and configuration debugging.