| dc.description.abstract | "Writing the user stories which captures the user’s perspective in the agile framework
is the starting step of gathering requirements. As user stories are written
informally with fewer restrictions but may get affected by the inherent NL issues
such as ambiguity, incompleteness and inter-dependencies. In this thesis
work, we have proposed an approach to automatically generate the conceptual
model (i.e., concept maps) from the user stories. The approach also identifies
the inter-dependencies between the user stories, and subsequently analyses the
incompleteness among them. The approach makes use of natural language processing
(NLP) techniques for the identification of linguistics patterns. Next, the
linguistics patterns are mapped into the concepts and attributes, resulting in the
generation of concept maps by applying the proposed heuristic rules.
After generating concept maps from the user stories of a software system, we
have recognized the dependency between the concepts for a single user story,
and are able to identify inter-dependencies between the set of user stories. We
have evaluated the applicability of the proposed approach by experimenting on
22 different projects available publicly. On average, we found that the generated
concept maps are able to capture inter-dependency with 94.7% accuracy. We have
developed tool support for realising the proposed approach." | |
