Towards public understanding of software through modeling

We consider the public understanding of software and its engineering to be imperative for citizens in the rapidly digitizing world. In this vision paper, we explore the possibilities of using software and systems engineering models for communicating quality aspects of software-intensive systems to their users. We provide a scope, vision, and research challenges in this direction, aiming to facilitate transparency about design choices and relevant quality attributes in areas such as safety, security, and privacy. Ultimately, we envision that these efforts can contribute to an improved public understanding of software systems.

Authors

Institutions

Publication Details

Published
2024-09-22
DOI
https://doi.org/10.1145/3652620.3688560
Citations
2
Primary Topic
Software Engineering Research
Type
article
Field-Weighted Citation Impact
1.56
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Towards public understanding of software through modeling

Robbert Jongeling
2 citations
Software Engineering Research
1.56
article

Towards public understanding of software through modeling

Robbert Jongeling
article en
2 citations

Abstract

We consider the public understanding of software and its engineering to be imperative for citizens in the rapidly digitizing world. In this vision paper, we explore the possibilities of using software and systems engineering models for communicating quality aspects of software-intensive systems to their users. We provide a scope, vision, and research challenges in this direction, aiming to facilitate transparency about design choices and relevant quality attributes in areas such as safety, security, and privacy. Ultimately, we envision that these efforts can contribute to an improved public understanding of software systems.

Mälardalen University (SE)
Openalex Percentile: Top 12%
Software Engineering Research
1.56
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.