Abstract:
Open source projects, products and the open source community embraces and encourages open
exchange, collaborative participation, rapid prototyping, transparency, meritocracy, and
community-oriented development. A mailing list is one of the main communication medium
that is used in open source projects. The initial step of contributing to any open source project
is to first join a mailing list. In such a mailing list, one could find mass amount of conversations
taking place. Developers who join these mailing list find it difficult to catch a glimpse of what
the actual project is about or what should be done to solve the issue. Most new developers
spend time on just going through the whole mailing list just to read through what has been
discussed and find out what should be there part in the development. When bug fixers are done,
the developer who is given the responsibility needs to find out the previous fixers that we done,
most developers go through the mailing list which takes out value time that could be spent in
development. This could be achieved by summarizing the contents of the mailing list, which
leads to one of the main research domains that could be found that is text summarization. Many
researches have been carried out in the text summarization domain. Most text summarization
are focused on a sentence scoring mechanism, which is a traditional method. As part of this
research, a semantically based text summarization approach is carried out to get more accurate
results. An intelligent mailing list summarization system is proposed as part of this research
