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Improving System Understanding via Interactive, Tailorable, Source Code Analysis

  • Vladimir Jakobac
  • Alexander Egyed
  • Nenad Medvidovic
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3442)

Abstract

In situations in which developers are not familiar with a system or its documentation is inadequate, the system’s source code becomes the only reliable source of information. Unfortunately, source code has much more detail than is needed to understand the system, and it disperses or obscures high-level constructs that would ease the system’s understanding. Automated tools can aid system understanding by identifying recurring program features, classifying the system modules based on their purpose and usage patterns, and analyzing dependencies across the modules. This paper presents an iterative, user-guided approach to program understanding based on a framework for analyzing and visualizing software systems. The framework is built around a pluggable and extensible set of clues about a given problem domain, execution environment, and/or programming language. We evaluate our approach by providing the analysis of our tool’s results obtained from several case studies.

Keywords

Processing Element Class Diagram Reverse Engineer Usage View Initial Label 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Vladimir Jakobac
    • 1
  • Alexander Egyed
    • 2
  • Nenad Medvidovic
    • 1
  1. 1.Computer Science DepartmentUniversity of Southern CaliforniaLos AngelesUSA
  2. 2.Teknowledge CorporationMarina Del ReyUSA

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