This dissertation was written as a part of the MSc in ICT Systems at the International
Hellenic University.
Software companies and software engineers have always tried to find ways to improve
the quality of their projects. However, assessing the quality of a piece of software is not
something trivial. There are
many
parameters that can affect that, and most of t
he time it
is very hard to find objective ways to measure the quality of software.
In this dissertation, I will provide a methodology that aims to assess software using automatically extracted software metrics and community based metrics, which will be Git
Hub
Stars and Forks. This way we can use both static metrics and dynamic ones
,
in order to
try and predict the reusability of a new piece of software.
Collections
Show Collections
