  Source code summarization is a process of generating summaries that describe
software code, the majority of source code summarization usually generated
manually, where the summaries are written by software developers. Recently, new
automated approaches are becoming more useful. These approaches have been found
to be effective in some cases. The main weaknesses of these approaches are that
they never exploit code dependencies and summarize either the software classes
or methods but not both. This paper proposes a source code summarization
approach (Suncode) that produces a short description for each class and method
in the software system. To validate the approach, it has been applied to
several case studies. Moreover, the generated summaries are compared to
summaries that written by human experts and to summaries that written by a
state-of-the-art solution. Results of this paper found that Suncode summaries
provide better information about code dependencies comparing with other
studies. In addition, Suncode summaries can improve and support the current
software documentation. The results found that manually written summaries were
more precise and short as well.
