TY - JOUR

T1 - Representing software project vision by means of video

T2 - A quality model for vision videos

AU - Karras, Oliver

AU - Schneider, Kurt

AU - Fricker, Samuel A.

N1 - Funding Information: This work was supported by the Deutsche Forschungsgemeinschaft (DFG) under Grant No.: 289386339 , (2017–2019). Appendix A

PY - 2020/4

Y1 - 2020/4

N2 - 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.

AB - 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.

KW - Production

KW - Quality characteristic

KW - Quality model

KW - Video

KW - Vision

KW - Vision video

UR - http://www.scopus.com/inward/record.url?scp=85077532554&partnerID=8YFLogxK

U2 - 10.1016/j.jss.2019.110479

DO - 10.1016/j.jss.2019.110479

M3 - Article

VL - 162

JO - Journal of Systems and Software

JF - Journal of Systems and Software

SN - 0164-1212

M1 - 110479

ER -