An Ontology-Based Case-Based Reasoning Approach for User Story Creation in the Scrum Framework

The Scrum framework is widely used in many areas of software development. The User Story Modelling Language & Notation (USMN) from Mancuso and Laurenzi (2023) has created the basis for graphically representing user stories. Despite this possibility, it is not always easy for inexperienced or new product owners to appropriately describe a user story. Consequently, the quality of the development can suffer significantly.

Zoccoletti, Marco, 2023

Art der Arbeit Master Thesis
Auftraggebende
Betreuende Dozierende Laurenzi, Emanuele
Keywords
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This thesis proposes the creation of an ontology-based case-based reasoning approach to support the creation of user stories in the Scrum framework. The aim is to add a simple and practical way of determining the similarity between two user stories. For this purpose, characteristics that are necessary for the description of a user story were determined as the basis for case-based reasoning. These characteristics are referred to as the user story description, including the role, action, element, system and business value, and each contain various values that can be selected. The values form the basis for calculating the similarity. To make the artefact easily accessible for product owners, the user story description of the USMN was extended and integrated within the agile and Ontology-Aided Modelling Environment (AOAME).
The assessment of the proposed solution reveals that the similarity calculation approach works and that the similarity between a new user story and existing user stories can be calculated using SPARQL queries. As a result, the most relevant user stories are reported back to the product owner, and these can be used as the basis for new user stories.
Finally, this research helps to make user stories more comparable, to avoid having to rely on the knowledge of individuals and to improve the quality of new user stories.
Studiengang: Business Information Systems (Master)
Vertraulichkeit: öffentlich
Art der Arbeit
Master Thesis
Autorinnen und Autoren
Zoccoletti, Marco
Betreuende Dozierende
Laurenzi, Emanuele
Publikationsjahr
2023
Sprache der Arbeit
Englisch
Vertraulichkeit
öffentlich
Studiengang
Business Information Systems (Master)
Standort Studiengang
Olten