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Static analysis for programs written in the MATLAB/Simulink and Octave languages.

Project description

DOI

MATLAB Independent, Small & Safe, High Integrity Tools

MATLAB is a popular programming language in many engineering disciplines, intended for the fast development of prototypes. But as we all know, prototypes make it into production all the time, so now you're stuck. Unfortunately, there are no style checkers or "good" static analysis tools for MATLAB. This project attempts to fill this gap.

If you have MATLAB or MATLAB embedded in Simulink models in your production code and want to improve code quality then this tool-suite is for you.

Tools & Documentation

All tools and language features are documented here: https://florianschanda.github.io/miss_hit/

We intend to provide more tools later, please refer to the roadmap for more information.

Please refer to the release notes for a summary of recent changes and known issues.

Installing and using MISS_HIT

Just check out the repository and put it on your path. That's it. MISS_HIT does not require any python packages or libraries.

To use MISS_HIT you just give it a set of files to process, for example:

$ mh_style my_file.m
$ mh_style --process-slx my_model.slx

Configuration is described in the user manual(s).

The version of Python I am using is 3.6.9 but any earlier or later version should also work. I am not using any overly fancy language features.

Installation via pip

$ pip3 install --user miss_hit

This installation also adds two executable scripts mh_style and mh_metric into .local/bin, so please make sure that this is on your PATH.

You can also use the python -m syntax to directly invoke the program. This might be useful if you're on a heavily locked-down corporate Windows environment:

$ python3 -m miss_hit.mh_style

Additional requirements for developing MISS_HIT

If you want to help develop, you will also need Pylint, PyCodeStyle, and Graphviz. Install as follows:

$ apt-get install graphviz
$ pip3 install --user --upgrade pylint pycodestyle

For publishing releases (to GitHub and PyPI) you will also need:

$ pip3 install --user --upgrade setuptools wheel requests

Challenges

There are serious issues present in the MATLAB and Octave languages on all levels (lexical structure, parsing, and semantics) that make it very difficult to create any tool processing them. In fact github is littered with incomplete attempts and buggy parsers. The usual question is "but what about Octave?"; it is a similar language, but it is not compatible with MATLAB. If your problem is parsing MATLAB then the Octave parser will not help you. Even very simple statements such as x = [1++2] mean different things (3 in MATLAB, syntax error in Octave).

We've documented the key issues we've faced and how we've resolved them.

Copyright & License

The basic framework, style checker and code metrics tool of MISS_HIT (everything under miss_hit_core) are licensed under the GNU GPL version 3 (or later) as described in LICENSE.

The advanced analysis tools of MISS_HIT (everything under miss_hit) are licensed under the GNU Affero GPL version 3 (or later) as described in LICENSE.AGPL.

The vast majority of this work is (C) Florian Schanda. Contributions from the following people and entities are under their copyright, with the same license:

  • Alina Boboc (Documentation)
  • Benedikt Schmid (MATLAB integration)
  • Veoneer System Software GmbH (JSON Metrics)
  • Zenuity AB (Key parts of the lexer)

Copyright of octave tests

This project includes modified/adapted parts of the GNU Octave testsuite under tests/parser/octave_*. These are (c) their original authors. Each file there describes from which file they derive.

Note on parser tests

Some of the parser tests include code samples and documentation snippets from the publically available MathWorks website. An attribution (in comment form) is always included in these cases.

Note on the documentation assets

The documentation uses feather icons which are licensed under the MIT License.

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