The current state-of-the-art in aspect mining is well advanced for object-oriented programming languages but until now neglected the MATLAB language. This paper contributes to fill that gap by proposing a novel notion of crosscutting concern, tailored for the specific characteristics of MATLAB code bases. We present an exploratory, token-based, approach to aspect mining for MATLAB. An analysis of data obtained from a tool using this approach over 209 publicly available MATLAB files indicate the approach is valid for detecting several kinds of crosscutting concerns in MATLAB systems.
|Title of host publication||CoRTA|
|Publication status||Published - 1 Jan 2010|
|Event||Compilers, Programming Languages, Related Technologies and Applications (CoRTA) - |
Duration: 1 Jan 2010 → …
|Conference||Compilers, Programming Languages, Related Technologies and Applications (CoRTA)|
|Period||1/01/10 → …|