Details
| Original language | English |
|---|---|
| Title of host publication | Human-Centered Software Engineering - 9th IFIP WG 13.2 International Working Conference, HCSE 2022, Proceedings |
| Editors | Regina Bernhaupt, Carmelo Ardito, Stefan Sauer |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 163-176 |
| Number of pages | 14 |
| ISBN (electronic) | 978-3-031-14785-2 |
| ISBN (print) | 9783031147845 |
| Publication status | Published - 2022 |
| Event | 9th IFIP WG 13.2 International Working Conference on Human-Centered Software Engineering, HCSE 2022 - Eindhoven, Netherlands Duration: 24 Aug 2022 → 26 Aug 2022 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 13482 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (electronic) | 1611-3349 |
Abstract
Differing mental models of stakeholders can lead to conflicting requirements which can threaten the success of the software project if they are not resolved. Therefore, producing a shared understanding of the project vision among stakeholders is crucial. Vision videos are one possible method to produce such a shared understanding by allowing stakeholders to identify and resolve discrepancies between their mental models. However, stakeholders often mistakenly expect a high effort being required for the production of vision videos and therefore refrain from using them. In this paper we present concepts that are designed to aid stakeholders in a collaborative production of vision videos by enabling them to produce vision videos using their personal smartphones. The concepts reduce an individual stakeholder’s workload by distributing the necessary tasks amongst all relevant stakeholders. Preliminary sessions of an experiment comparing a prototype of our concepts with existing methods have resulted in the discovery of promising tendencies. Participants using the prototype were only required to actively work on the vision video for little over half the time. We expect these tendencies to be strengthened by further experiment sessions. Nevertheless, our results indicate that the concepts presented in this paper are a meaningful step towards a collaborative vision video production.
Keywords
- Collaboration, Requirements engineering, Vision video
ASJC Scopus subject areas
- Mathematics(all)
- Theoretical Computer Science
- Computer Science(all)
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Human-Centered Software Engineering - 9th IFIP WG 13.2 International Working Conference, HCSE 2022, Proceedings. ed. / Regina Bernhaupt; Carmelo Ardito; Stefan Sauer. Springer Science and Business Media Deutschland GmbH, 2022. p. 163-176 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13482 LNCS).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Towards Collaborative Vision Video Production
T2 - 9th IFIP WG 13.2 International Working Conference on Human-Centered Software Engineering, HCSE 2022
AU - Nagel, Lukas
AU - Klünder, Jil
AU - Hausmann, Christoph
AU - Schneider, Kurt
N1 - Funding Information: Acknowledgment. This work was supported by the German Research Foundation (DFG) (project ViViUse, grant No. 289386339).
PY - 2022
Y1 - 2022
N2 - Differing mental models of stakeholders can lead to conflicting requirements which can threaten the success of the software project if they are not resolved. Therefore, producing a shared understanding of the project vision among stakeholders is crucial. Vision videos are one possible method to produce such a shared understanding by allowing stakeholders to identify and resolve discrepancies between their mental models. However, stakeholders often mistakenly expect a high effort being required for the production of vision videos and therefore refrain from using them. In this paper we present concepts that are designed to aid stakeholders in a collaborative production of vision videos by enabling them to produce vision videos using their personal smartphones. The concepts reduce an individual stakeholder’s workload by distributing the necessary tasks amongst all relevant stakeholders. Preliminary sessions of an experiment comparing a prototype of our concepts with existing methods have resulted in the discovery of promising tendencies. Participants using the prototype were only required to actively work on the vision video for little over half the time. We expect these tendencies to be strengthened by further experiment sessions. Nevertheless, our results indicate that the concepts presented in this paper are a meaningful step towards a collaborative vision video production.
AB - Differing mental models of stakeholders can lead to conflicting requirements which can threaten the success of the software project if they are not resolved. Therefore, producing a shared understanding of the project vision among stakeholders is crucial. Vision videos are one possible method to produce such a shared understanding by allowing stakeholders to identify and resolve discrepancies between their mental models. However, stakeholders often mistakenly expect a high effort being required for the production of vision videos and therefore refrain from using them. In this paper we present concepts that are designed to aid stakeholders in a collaborative production of vision videos by enabling them to produce vision videos using their personal smartphones. The concepts reduce an individual stakeholder’s workload by distributing the necessary tasks amongst all relevant stakeholders. Preliminary sessions of an experiment comparing a prototype of our concepts with existing methods have resulted in the discovery of promising tendencies. Participants using the prototype were only required to actively work on the vision video for little over half the time. We expect these tendencies to be strengthened by further experiment sessions. Nevertheless, our results indicate that the concepts presented in this paper are a meaningful step towards a collaborative vision video production.
KW - Collaboration
KW - Requirements engineering
KW - Vision video
UR - http://www.scopus.com/inward/record.url?scp=85137065902&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-14785-2_11
DO - 10.1007/978-3-031-14785-2_11
M3 - Conference contribution
AN - SCOPUS:85137065902
SN - 9783031147845
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 163
EP - 176
BT - Human-Centered Software Engineering - 9th IFIP WG 13.2 International Working Conference, HCSE 2022, Proceedings
A2 - Bernhaupt, Regina
A2 - Ardito, Carmelo
A2 - Sauer, Stefan
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 24 August 2022 through 26 August 2022
ER -