Identification and Characterization of Crosscutting Concerns in MATLAB Systems

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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 languageUnknown
Title of host publicationCoRTA
Publication statusPublished - 1 Jan 2010
EventCompilers, Programming Languages, Related Technologies and Applications (CoRTA) -
Duration: 1 Jan 2010 → …


ConferenceCompilers, Programming Languages, Related Technologies and Applications (CoRTA)
Period1/01/10 → …

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