Quotation Trkman, Marina, Mendling, Jan, Trkman, Peter, Krisper, Marjan. 2019. Impact of the conceptual model's representation format on identifying and understanding user stories. Information and Software Technology (Elsevier). 116


RIS


BibTeX

Abstract

Context Eliciting user stories is a major challenge for agile development approaches. Conceptual models are used to support the identification of user stories and increase their understanding. In many companies, existing model documentation stored as either use cases or BPMN models is available. However, these two types of business process models might not be equally effective for elicitation tasks due to their formats. Objective We address the effectiveness of different elicitation tasks when supported either with visual or textual conceptual model. Since the agile literature shows little attention to reusing existing BPMN documentation, we propose several hypotheses to compare it to the use of textual use case models. Method We conducted an experiment to compare the effectiveness of the two business process formats: textual use cases and visual BPMN models. We studied their effects on three elicitation tasks: identifying user stories and understanding their execution-order and integration dependencies. Results The subjects better understood execution-order dependencies when visual input in the form of BPMN models was provided. The performance of the other two tasks showed no statistical differences. Conclusion We addressed an important problem of user story elicitation: which informationally equivalent model (visual BPMN or textual use case) is more effective when identifying and understanding user stories.

Tags

Press 'enter' for creating the tag

Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Information and Software Technology (Elsevier)
Citation Index SCI
WU-Journal-Rating new INF-A
Language English
Title Impact of the conceptual model's representation format on identifying and understanding user stories
Volume 116
Year 2019
URL https://www.sciencedirect.com/science/article/pii/S095058491930165X?via%3Dihub
DOI http://dx.doi.org/10.1016/j.infsof.2019.08.001
Open Access N

Associations

People
Mendling, Jan (Details)
External
Krisper, Marjan (University of Ljubljana, Slovenia)
Trkman, Marina (Jozef Stefan Institute, Slovenia)
Trkman, Peter (University of Ljubljana, Slovenia)
Organization
Institute for Data, Process and Knowledge Management IN (Details)
Research areas (Ă–STAT Classification 'Statistik Austria')
5367 Management information systems (Details)
Google Scholar: Search