ML and AI for code static analysis
a project by mvarlese
Updated about 3 years ago. 5 hacker ♥️. 4 followers.

The idea is to explore the technologies and the various components to realize some AI to predict pitfalls in source code which can potentially generate run-time misbehaviours.

The potential area where this idea could have positive implications are:

  • embedded area (e.g. autonomous driving cars, mission critical application, etc.)

  • general purpose software

  • integration into software development IDEs

  • integration into compilers

The goal is to reduce to a bear minimum the false positives during the static code analysis and make sure that hard to identify issues can be highlighted to the developer.

Join this project

Looking for hackers with the skills:

machinelearning artificial-intelligence staticanalysis toolchains compilers

This project is part of:

Hack Week 18

Activity

  • about 3 years ago: lyan liked this project.
  • about 3 years ago: a_faerber liked this project.
  • over 3 years ago: moio liked this project.
  • over 3 years ago: acho liked this project.
  • over 3 years ago: mvarlese started this project.
  • over 3 years ago: afesta liked this project.
  • over 3 years ago: mvarlese added keyword "machinelearning" to this project.
  • over 3 years ago: mvarlese added keyword "artificial-intelligence" to this project.
  • over 3 years ago: mvarlese added keyword "staticanalysis" to this project.
  • over 3 years ago: mvarlese added keyword "toolchains" to this project.
  • over 3 years ago: mvarlese added keyword "compilers" to this project.
  • over 3 years ago: mvarlese originated this project.


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