We're sorry but this page doesn't work properly without JavaScript enabled. Please enable it to continue.
Feedback

Representing Software Project Vision by Means of Video:

Formale Metadaten

Titel
Representing Software Project Vision by Means of Video:
Untertitel
A Quality Model for Vision Videos
Autor
Mitwirkende
Lizenz
CC-Namensnennung 3.0 Deutschland:
Sie dürfen das Werk bzw. den Inhalt zu jedem legalen Zweck nutzen, verändern und in unveränderter oder veränderter Form vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen.
Identifikatoren
Herausgeber
Erscheinungsjahr
Sprache
Produzent
Produktionsjahr2021
ProduktionsortCelle

Inhaltliche Metadaten

Fachgebiet
Genre
Abstract
Establishing a shared software project vision is a key challenge in Requirements Engineering (RE). Several approaches use videos to represent visions. However, these approaches omit how to produce a good video. This missing guidance is one crucial reason why videos are not established in RE. We propose a quality model for videos representing a vision, so-called vision videos. Based on two literature reviews, we elaborate ten quality characteristics of videos and five quality characteristics of visions, which together form a quality model for vision videos that includes all 15 quality characteristics. We provide two representations of the quality model: (a) a hierarchical decomposition of vision video quality into the quality characteristics and (b) a mapping of these characteristics to the video production and use process. While the hierarchical decomposition supports the evaluation of vision videos, the mapping provides guidance for video production. In an evaluation with 139 students, we investigated whether the 15 characteristics are related to the overall quality of vision videos perceived by the subjects from a developer’s the point of view. Six characteristics (video length, focus, prior knowledge, clarity, pleasure, and stability) correlated significantly with the likelihood that the subjects perceived a vision video as good. These relationships substantiate a fundamental relevance of the proposed quality model. Therefore, we conclude that the quality model is a sound basis for future refinements and extensions.
Schlagwörter