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  1. TLDR; This tutorial is a complete implementation of the TTT algorithm for active automata learning in Python.

  2. TLDR; This tutorial is a complete implementation of a Daikon-like runtime invariant miner in Python.

  3. TLDR; This tutorial is a complete implementation of RPNI algorithm which infers the input specification from positive and negative samples.

  4. This is a summary of best practices when using Makefiles.

  5. A Tiny Prolog in Python

    Contents Definitions Building a Tiny Prolog in Python Variables Predicates Goals Lists Environment Unification Resolution References Artifacts Important: Pyodide takes time to initialize.

  6. Contents Definitions Prerequisites Building the NFA Augment Grammar with Start The State Data-structure The NFA class NFA Initialization routines NFA Start State (create_start) Advance the state of parse by one token NFA find_transitions NFA build_nfa Con…

  7. Search Based Fuzzing involves generating various candidate inputs for a given program, identifying the inputs with the best score in some metric of effectiveness and choosing them for the next iteration so that one can iteratively improve the fitness of t…

  8. Fuzzing is one of the more easy to use and efficient means of testing software systems.

  9. TL;DR This tutorial explains how to design test cases that effectively cover features of a given context-free grammar using the k-path strategy.

  10. TLDR; This tutorial takes you through the steps to write a simple context-free grammmar that can parse your custom data format.