The evolution radar: visualizing integrated logical coupling information

  • Authors:
  • Marco D'Ambros;Michele Lanza;Mircea Lungu

  • Affiliations:
  • University of Lugano, Switzerland;University of Lugano, Switzerland;University of Lugano, Switzerland

  • Venue:
  • Proceedings of the 2006 international workshop on Mining software repositories
  • Year:
  • 2006

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Abstract

In software evolution research logical coupling has extensively been used to recover the hidden dependencies between source code artifacts. They would otherwise go lost because of the file-based nature of current versioning systems. Previous research has dealt with low-level couplings between files, leading to an explosion of data to be analyzed, or has abstracted the logical couplings to module level, leading to a loss of detailed information. In this paper we propose a visualization-based approach which integrates both file-level and module-level logical coupling information. This not only facilitates an in-depth analysis of the logical couplings at all granularity levels, it also leads to a precise characterization of the system modules in terms of their logical coupling dependencies.