Abstract
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.
| Original language | Unknown |
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| Title of host publication | CoRTA |
| Pages | 1-12 |
| Publication status | Published - 1 Jan 2010 |
| Event | Compilers, Programming Languages, Related Technologies and Applications (CoRTA) - Duration: 1 Jan 2010 → … |
Conference
| Conference | Compilers, Programming Languages, Related Technologies and Applications (CoRTA) |
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| Period | 1/01/10 → … |