| dc.description.abstract | Getting clear and accurate requirements specifications is still a challenging task for
requirements analysts for two main reasons: i) Despite the fact that analysts are experts in
software technology, their knowledge in the domain area where the system is developed is
often limited, thereby limiting the effectiveness of requirements elicitation; ii) Most of the
requirements in agile development methods are captured using natural language, which is
vulnerable to different interpretations and understanding leading to inaccurate requirements
specifications. Although there are some methods that support the analyst in producing highquality
requirement specifications, a small number of researchers focus on agile requirements
engineering with user stories. However, their approaches are either manual or do not use any
kind of domain knowledge as a reference to support the analysts in refining the requirements.
This thesis has been performed to identify the potential use of domain knowledge in order to
help the analyst to deliver high-quality requirement specifications. We developed the Story
Suggestor Tool, which uses business process models as source of domain knowledge that can
be utilized to suggest new requirements to the analyst. The development of the artifact has
been guided by design science methodology. To validate our approach, an experiment has
been conducted to check whether or not our developed artifact, the Story Suggestor Tool,
helps the analyst in delivering higher-quality requirements. Based on the evaluation of the
experiment results, we concluded that the tool helps the analyst in producing relatively more
complete and correct requirements. | |
