migrate from bitbucket to github

README.md

@@ -51,7 +51,7 @@ Requirements:
 * Python packages: setuptools, argparse, pygraphviz, matplotlib
 * Optional python packages: numpy, simpy, xlrd
 
-Download the [latest version](https://bitbucket.org/pycpa/pycpa) of the package, extract and install through setup.py.
+Download the [latest version](https://github.com/IDA-TUBS/pycpa) of the package, extract and install through setup.py.
 
 Please refer to the more detailed [installation instructions](https://pycpa.readthedocs.io/en/latest/install.html) on readthedocs.org.
 
@@ -66,3 +66,10 @@ You may also want to look at [SMFF](http://smff.sourceforge.net/).
 ## Publications
 A list of related publications can be found at [Bibliography](https://pycpa.readthedocs.io/en/latest/bibliography.html).
 Please let us know about if you used/extended pyCPA for any of your publications so we can add it to the list.
+
+## Extensions
+
+More complex analysis and use cases are hosted in separate repositories, i.e.
+
+* a [task-chain analysis](https://github.com/IDA-TUBS/pycpa_taskchain)
+* an analysis of the [WATERS industrial challenge 2017](https://github.com/IDA-TUBS/waters2017)

doc/install.rst

@@ -31,13 +31,13 @@ For a system-wide installation of the current pyCPA version, you simply run the
 
 .. code-block:: bash
 
-   $ pip install https://bitbucket.org/pycpa/pycpa/get/master.zip
+   $ pip install https://github.com/IDA-TUBS/pycpa/archive/master.zip
 
 Alternatively, e.g. if you do not have admin privileges, you can install pyCPA for the current user:
 
 .. code-block:: bash
 
-   $ pip install --user https://bitbucket.org/pycpa/pycpa/get/master.zip
+   $ pip install --user https://github.com/IDA-TUBS/pycpa/archive/master.zip
 
 
 .. _For Developers:
@@ -62,7 +62,7 @@ For downloading the pyCPA source code, you simply create a clone from the git `g
 
 .. code-block:: bash
 
-   $ git clone https://bitbucket.org/pycpa/pycpa/
+   $ git clone https://github.com/IDA-TUBS/pycpa/
 
 
 From within the pyCPA repository, execute the following command to install pyCPA in editable mode (i.e. changes to the

doc/tutorial.rst

@@ -418,7 +418,7 @@ On the resource itself, we end up with task chains that can be analysed as a who
 
    Task Chains
 
-The implementation of this approach is available as an extension to the pyCPA core at `<https://bitbucket.org/pycpa/pycpa_taskchain>`_.
+The implementation of this approach is available as an extension to the pyCPA core at `<https://github.com/IDA-TUBS/pycpa_taskchain>`_.
 It replaces the :py:class:`pycpa.model.Resource` with a `TaskchainResource` and also the Scheduler with an appropriate
 implementation.
 

setup.py

@@ -22,7 +22,7 @@
       description='pyCPA - a python implementation of compositional performance analysis',
       author='Jonas Diemer, Philip Axer, Daniel Thiele, Johannes Schlatow',
       author_email='{axer,diemer,thiele,schlatow}@ida.ing.tu-bs.de',
-      url='https://bitbucket.org/pycpa/pycpa',
+      url='https://github.com/IDA-TUBS/pycpa',
       license="MIT",
       packages=['pycpa'],
       install_requires=[ 'argparse'],