JQF VS javan-warty-pig

We are working on projects related with cybersecurity and compilers. A reference we look at is [1] and [2]. I think we can publish the results in the coming months.

[1] https://github.com/rohanpadhye/jqf/wiki/Fuzzing-a-Compiler

[2] https://news.ycombinator.com/item?id=36373410

QuickcCheck-type tools (generators for tests that know about the edge cases of a domain - e. g. for the domain of numbers considering things like 0, the infinities, various almost-and-just-over powers of two, NaN and mantissas for floats, etc.):

* QuickCheck: https://hackage.haskell.org/package/QuickCheck

* Hypothesis: https://hypothesis.readthedocs.io/en/latest/

* JUnit QuickCheck: https://github.com/pholser/junit-quickcheck

Fuzz testing tools (tools which mutate the inputs to a program in order to find interesting / failing states in that program). Generally paired with code coverage:

* American Fuzzy Lop (AFL): https://github.com/google/AFL

* JQF: https://github.com/rohanpadhye/JQF

Mutation / Fault based test tools (review your existing unit coverage and try to introduce changes to your _production_ code that none of your tests catch)

* PITest: https://pitest.org/

If you are interested in fuzzing your Java code, you should also have a look at the JQF project which directly integrates with junit tests: https://github.com/rohanpadhye/JQF

A little while back I wrote something similar[0]. Basically I applied AFL principles to the JVM by similarly implementing bytecode instrumentation in the lightest way I could and having "passes" of sorts that manipulated inputs using stages like AFL does. The readme explains the implementation details (I don't really maintain it or use it anymore).

0 - https://github.com/cretz/javan-warty-pig