The CONCEPT project - applying source code analysis to reduce information complexity of static and dynamic visualization techniques
Citations Over TimeTop 10% of 2003 papers
Abstract
The goal of software visualization is to acquire sufficient knowledge about a software system by identifying program artifacts and understanding their relationships. Graphical representations have long been recognized as having an important impact in improving the comprehension of source code. In this paper, we present several visualization techniques that we combine with analytical source code analysis to reduce the amount and, therefore, the complexity of data that has to be displayed. In particular, we focus on static and dynamic program slicing and apply this source code analysis technique on tree maps, hyperbolic trees, and UML based visualization techniques to support programmers in creating better mental models of the source code. We also introduce our CONCEPT prototype and describe how the presented approaches can be applied to reduce the information complexity for particular source code comprehension applications.
Related Papers
- → CloCom: Mining existing source code for automatic comment generation(2015)166 cited
- → Facilitating program comprehension by mining association rules from source code(2004)35 cited
- → 3D visualization techniques to support slicing-based program comprehension(2005)19 cited
- → Program Slicing Based Software Metrics towards Code Restructuring(2010)6 cited
- A program understanding approach for stripped binary code(2008)