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In this paper, we first present a comprehensive survey of related work in program comprehension and software visualization, and follow it up with a detailed description of our research which uses program slicing for deriving program structure-based attributes and 3D-metaball-based rendering techniques to help visualization-based analysis of source code structure.
Program comprehension is an essential part of any maintenance activity.
Consequently program comprehension of such a software is more intricate.
First, we use reverse engineering techniques for program comprehension and design recovery.
The efficient recovery of design pattern instances significantly facilitates program comprehension and software reengineering.
Dynamic program analysis tools serve many important software engineering tasks such as profiling, debugging, testing, program comprehension, and reverse engineering.
The identification and filtering of noise is a necessary preprocessing step before attempting program comprehension techniques, especially for undocumented systems.
An approach to recovering design-level UML class models from C++ source code to support program comprehension is presented.
Software visual analytics (SVA) tools combine static program analysis and fact extraction with information visualization to support program comprehension.
Thus, extracting the content of developers' communication can be useful to support several software engineering tasks, such as program comprehension, source code analysis, and software analytics.
AspectMaps extends the Moose program comprehension and reverse engineering platform with support for aspects, and is implemented using facilities provided by Moose.
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