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*directed random test generation - f.ex. "feedback-directed random test generation"<ref name="PachecoLET2007">{{cite journal|last=Pacheco|first=Carlos|author2=Shuvendu K. Lahiri |author3=Michael D. Ernst |author4=Thomas Ball |title=Feedback-directed random test generation|journal=ICSE '07: Proceedings of the 29th International Conference on Software Engineering|date=May 2007|pages=75–84|url=http://people.csail.mit.edu/cpacheco/publications/feedback-random.pdf|publisher=IEEE Computer Society|issn=0270-5257}}</ref> or "adaptive random testing" <ref name="ART">{{cite journal|last=Chen|first=T.Y.|author2=H. Leung |author3=I.K. Mak | title=Adaptive Random Testing |journal=Advances in Computer Science - ASIAN 2004. Higher-Level Decision Making |date= 2005|pages=320–329|url=http://www.utdallas.edu/~ewong/SYSM-6310/03-Lecture/02-ART-paper-01.pdf|publisher=Lecture Notes in Computer Science Volume 3321}}</ref>
== Implementations ==
Some tools implementing random testing:
* [[QuickCheck]] - a famous test tool, originally developed for [[Haskell (programming language)|Haskell]] but ported to many other languages, that generates random sequences of API calls based on a model and verifies system properties that should hold true after each run. Check this
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==Critique==
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