Description
Automated decision procedures, SAT/SMT solvers; symbolic execution, random and local search algorithms; evolutionary and genetic programming; multi-objective and bio-inspired optimization, search-based software engineering; machine learning for software engineering; and software testing case studies for cyber-physical, deep learning, autonomous driving, and network systems.
Reference text in its original language
Automated decision procedures, SAT/SMT solvers; symbolic execution, random and local search algorithms; evolutionary and genetic programming; multi-objective and bio-inspired optimization, search-based software engineering; machine learning for software engineering; and software testing case studies for cyber-physical, deep learning, autonomous driving, and network systems.
Sources and references
Dates and sources are retained to help you verify the information. Translations are provided to facilitate reading; the official source governs conditions and requirements.
Source reference : https://calendar.carleton.ca/grad/courses/COMP/