00dc426f43
|
||
|---|---|---|
| .idea | ||
| .mps | ||
| coderules | ||
| docs | ||
| gradle/wrapper | ||
| reactor | ||
| samples | ||
| .gitattributes | ||
| .gitignore | ||
| .travis.yml | ||
| INSTALL.txt | ||
| README.md | ||
| build.gradle | ||
| build.xml | ||
| gradle.properties | ||
| gradlew | ||
| gradlew.bat | ||
| mps-full.svg | ||
| settings.gradle | ||
README.md
MPS Code Rules
An experimental feature of JetBrains MPS. Code rules allow to create various code analyses employing constraints handling. The examples are provided, including type checking and control flow analysis of code written using MPS’s baseLanguage.
Documentation
NEW! The documentation website is available.
Status
| Travis CI | TeamCity | TeamCity EAP |
|---|---|---|
 |
The status of this project is pre-release. Don’t rely on any of the language features or the API to be stable. The purpose of this project is to show the new technology and collect early feedback.
Latest release can be found here.
The author can be reached by email fedor.isakov (AT) jetbrains.com or by Twitter.
JetBrains MPS is a project developed by JetBrains and is available via web and Twitter.
Overview
This project is the result of ongoing research done within MPS team in the area of code analysis using constraints handling, in particular CHR.
Code rules serve as templates that produce constraint rules. Both transformation to constraint rules and evaluating is done in-memory at the time analysis is launched. Constraint rules are processed by the embedded engine.
Samples included with this project demonstrate how coderules can be used for solving concrete tasks connected with source code analysis.
- Type checking of lambda calculus shows the implementation of standard type checking algorithm.
- Proof validation using Fitch system demonstrates how logical inference can be done.
- Type checking and control flow analysis for core MPS languages.
Coderules allow for extensions to be provided by derived languages. Extensions have higher priority, so it’s easy to override the built-in behaviour.
The semantics of constraints handling is compatible with regular Java semantics, so coderules can be safely embedded into the user code. There also exists support for launching arbitrary code from when processing constraints.
Parallel or background execution of coderules is possible thanks to the reactive extensions, in particular rxjava, which is used by the implementation.
See implementation notes for more information.
Dependencies
The source code can be opened with the latest version of JetBrains MPS. The plugin that is created with the build script is also compatible with the same version of MPS.
Project structure
- reactor - contains the implementation of constraint processing engine
- coderules - implementation and tests
- samples - sample projects using coderules
Installation
See INSTALL.txt.
License
Copyright 2014-2017 JetBrains s.r.o.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.