We present CV4Code $$^1$$ , a compact and effective computer vision method for sourcecode understanding. Our leverages the contextual structural information available from code snippet by treating each as two-dimensional image, which naturally encodes context retains underlying through an explicit spatial representation. To codify snippets images, we propose ASCII codepoint-based image represen...

In this paper, a new steganography scheme with high embedding payload and good visual quality is presented. Before embedding process, secret information is encoded as block using Reed-Muller error correction code. After data encoding and embedding into the low-order bits of host image, modulus function is used to increase visual quality of stego image. Since the proposed method is able to embed...

Code duplication is considered as bad practice that complicates the maintenance and evolution of software. Detecting duplicated code is a difficult task because of the large amount of data to be checked and the fact that a priori it is unknown which code part has been duplicated. In this paper, we present a tool called DUPLOC that supports code duplication detection in a visual and exploratory ...

The contents of this paper describe the work carried out by the Visualisation Research Group in the Centre of Software Maintenance at the University of Durham. For obtaining a high level understanding of the code systems graphical representations are more useful than purely textual representations. However, graphical representations still have a tendency to provide the maintainer with too much ...

Visual words are peculiar cognitive entities living under several and apparently conflicting requirements. Although behavioural studies have taught us just how flexible visual word representations are in the brain, the trivial fact that we can distinguish between anagrams demands that these representations somehow carry letter order. In this chapter we present a connectionist network developed ...