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.

Looking for hackers with the skills:

machinelearning artificial-intelligence staticanalysis toolchains compilers

This project is part of:

Hack Week 18

Activity

  • about 1 year ago: lyan liked ML and AI for code static analysis
  • about 1 year ago: a_faerber liked ML and AI for code static analysis
  • about 1 year ago: moio liked ML and AI for code static analysis
  • about 1 year ago: acho liked ML and AI for code static analysis
  • about 1 year ago: mvarlese started ML and AI for code static analysis
  • about 1 year ago: afesta liked ML and AI for code static analysis
  • about 1 year ago: mvarlese added keyword "machinelearning" to ML and AI for code static analysis
  • about 1 year ago: mvarlese added keyword "artificial-intelligence" to ML and AI for code static analysis
  • about 1 year ago: mvarlese added keyword "staticanalysis" to ML and AI for code static analysis
  • about 1 year ago: mvarlese added keyword "toolchains" to ML and AI for code static analysis
  • All Activity

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