Abstract
Software comprehension and analysis of MATLAB and Octave programs are not trivial tasks. Programmers have to devote considerable effort to obtain relevant data from source code and related artifacts. Tools that provide support for software comprehension activities usually rely on parsers to obtain data from source code. The problem in the MATLAB/Octave case is the limited number of available parsers and the difficult to build an extensible solution with them. In this paper, we describe the development of a parser that converts MATLAB and Octave program codes into instances of the Knowledge Discovery Metamodel (KDM), which can subsequently undergo static analyses to feed different visual representations. The goal of these representations is to support software comprehension. We describe our experience in the use of this parser to build a software visualization environment to support the comprehension of MATLAB and Octave programs.
| Original language | English |
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| Title of host publication | ICEIS 2018 - Proceedings of the 20th International Conference on Enterprise Information Systems |
| Publisher | SciTePress |
| Pages | 179-186 |
| Number of pages | 8 |
| Volume | 2 |
| ISBN (Electronic) | 978-989758298-1 |
| Publication status | Published - 24 Mar 2018 |
| Event | 20th International Conference on Enterprise Information Systems, ICEIS 2018 - Funchal, Madeira, Portugal Duration: 21 Mar 2018 → 24 Mar 2018 |
Conference
| Conference | 20th International Conference on Enterprise Information Systems, ICEIS 2018 |
|---|---|
| Country | Portugal |
| City | Funchal, Madeira |
| Period | 21/03/18 → 24/03/18 |
Keywords
- Abstract syntax tree (AST)
- Knowledge discovery metamodel (KDM)
- MATLAB/Octave
- Parser
- Software comprehension
- Software visualization