markov-chain-usage-model alternatives and similar packages
Based on the "Testing" category.
Alternatively, view markov-chain-usage-model alternatives based on common mentions on social networks and blogs.
-
-
hedgehog
Release with confidence, state-of-the-art property testing for Haskell. -
DocTest
An implementation of Python's doctest for Haskell -
webdriver
A Haskell client for the Selenium WebDriver protocol. -
quickcheck-state-machine
Test monadic programs using state machine based models -
curl-runnings
A declarative test framework for quickly and easily writing integration tests against JSON API's. -
smallcheck
Test your Haskell code by exhaustively checking its properties -
ghc-prof-flamegraph
Generates data to be used with flamegraph.pl from .prof files. -
-
checkers
Check properties on standard classes and data structures -
monad-mock
A Haskell package that provides a monad transformer for mocking mtl-style typeclasses -
-
fuzzcheck
A library for testing monadic code in the spirit of QuickCheck -
test-framework
Framework for running and organising QuickCheck test properties and HUnit test cases -
hspec-expectations
Catchy combinators for HUnit -
hspec-checkers
Allows to use checkers properties from hspec -
tasty-hedgehog
Tasty integration for the Hedgehog property testing library -
-
hedgehog-classes
Hedgehog will eat your typeclass bugs -
tasty-discover
Test discovery for the tasty framework. -
leancheck
enumerative property-based testing for Haskell -
should-not-typecheck
A HUnit/hspec assertion to verify that an expression does not typecheck -
doctest-discover
Easy way to run doctests via cabal -
quickcheck-arbitrary-adt
Typeclass for generating a list of each instance of a sum type's constructors -
hspec-golden-aeson
Use tests to monitor changes in Aeson serialization -
-
hspec-expectations-json
Hspec expectations on JSON Values -
faker
Faker is pure Haskell library for generating fake data. -
swagger-test
Property based testing tool for Swagger APIs -
-
hspec-jenkins
Jenkins-friendly XML formatter for Hspec -
test-framework-sandbox
test-sandbox support for the test-framework package -
test-framework-th
Automagically (using Template Haskell) generates the Haskell-code you need when using HUnit -
tasty-rerun
Rerun previous test suite runs to run only failing tests -
tasty-expected-failure
Mark test cases as expected-failure -
quickcheck-arbitrary-template
Arbitrary QuickCheck instance generation using template haskell -
quickcheck-instances
Instances for QuickCheck classes
Do you think we are missing an alternative of markov-chain-usage-model or a related project?
|
Scout APM: A developer's best friend. Try free for 14-days
sponsored
scoutapm.com
|
Popular Comparisons
-
QuickCheckvshedgehog
-
tastyvstasty-hspec
-
leancheckvssmallcheck
-
hedgehogvssmallcheck
-
hedgehogvsquickcheck-arbitrary-adt
|
SaaSHub - Software Alternatives and Reviews
sponsored
www.saashub.com
|
README
markov-chain-usage-model
markov-chain-usage-model is a Haskell library for performing computations on
Markov chain based usage models.
References
A theory of software reliability and its application (1975) by J. D. Musa;
Engineering software under statistical quality control (1990) by R. H. Cobb and H. D. Mills;
Operational profiles in software-reliability engineering (1993) by J. D. Musa;
A Markov chain model for statistical software testing (1994) by J. A. Whittaker and M. G. Thomason;
Statistical testing of software based on a usage model (1995) by G. H. Walton, J. H. Poore and C. J. Trammell;
Quantifying the reliability of software: statistical testing based on a usage model (1995) by C. Trammell;
Computations for Markov Chain Usage Models (2000) by S. J. Prowell;
Computing system reliability using Markov chain usage models (2004) by S. J. Prowell and J. H. Poore;
Software Reliability Engineering: More Reliable Software Faster and Cheaper (2004) by J. D. Musa;
A Simpler and More Direct Derivation of System Reliability Using Markov Chain Usage Models (2017) by L. Lin, Y. Xue and F. Song;
On A Simpler and Faster Derivation of Single Use Reliability Mean and Variance for Model-Based Statistical Testing (2018) by Y. Xue, L. Lin, X. Sun and F. Song;
Stopping criteria for statistical testing (2000) by K. Sayre and J. H. Poore;
A cost-benefit stopping criterion for statistical testing (2004) by S. J. Prowell.
See also
- The JUMBL library and tool (documentation and code)
License
BSD-style (see the file LICENSE).
*Note that all licence references and agreements mentioned in the markov-chain-usage-model README section above
are relevant to that project's source code only.