SEApr 26, 2019

Explainable Software for Cyber-Physical Systems (ES4CPS): Report from the GI Dagstuhl Seminar 19023, January 06-11 2019, Schloss Dagstuhl

arXiv:1904.11851v19 citations
Originality Synthesis-oriented
AI Analysis

This is an incremental effort to foster collaboration on explainability in CPS, which is crucial for engineers and users but lacks novel technical advancements.

The report documents a seminar addressing the challenge of explaining the behavior of future Cyber-Physical Systems to users and stakeholders, aiming to coordinate interdisciplinary research and incubate a new community around explainable software for CPS.

This report documents the program and results of the GI-Dagstuhl Seminar 19023 on Explainable Software for Cyber-Physical Systems (ES4CPS). The seminar was concerned with the challenge that for future Cyber-Physical Systems (CPS), it will become increasingly relevant to explain their behavior (past, current, and future behavior, why a certain action was taken, how a certain goal can be achieved, etc.) to users, engineers, and other stakeholders. In order to increase the explainability of CPS and their engineering tools, fundamental, interdisciplinary research is required; solutions from multiple disciplines within software engineering, systems engineering, and related fields have to be applied, combined, and researched further. The goal of this seminar was to serve as a starting point for an interdisciplinary coordination of research activities targeting ES4CPS and an incubator of a new research community around this topic.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes