ChangeLog

V2.4

• A better cache system.
• A documentation in English, using Sphinx.
• Add some metrics computation. One can compute maintainability, and therefore availability, for complex systems and voters.
• An Archlinux package is made.
• The code has been cleaned. (thank you pylint ;))
• Symbolic computation can be performed, using sympy

>>> from sympy import symbols
>>> from fiabilipy import Component
>>> l, t = symbols('l t', positive=True)
>>> a = Component('a', lambda_=l)
>>> a.reliability(t)
exp(-l*t)

V2.3.1

• Update the module name from fiabili to fiabilipy.

V2.3

• Create a pypi package.
• Update the documentation.
• A Markov graph can be drawn.

V2.2

• Add a markov module.

V0.2

• Some metrics are cached to faster the computation (MTTF, MTTR, etc).
• A documentation is started (in French… sorry).

V0.1

• Show time.
• System, Component and voter can be built.
• Reliability can be computed.
• MTTF can be computed.
• Compute the minimal cuts of order 1 and 2.