Using Architectural Runtime Verification for Offline Data Analysis
- https://doi.org/10.2991/jase.d.210205.001How to use a DOI?
- Architecture, Runtime Verification, Database, AUTOSAR, Cloud
Analyzing runtime behavior as part of debugging complex component-based systems used in the vehicle industry is an important aspect of the integration process. It is a laborious task that involves many manual steps. One reason for this is that, as of today, the analysis is usually not performed on the architecture level, where the system has initially been designed. Instead, it relies on source code debugging or visualizing signals and events. With an ever-growing complexity of such systems, it becomes increasingly difficult to find errors that manifest at integration level, i.e., when the components interact with each other in a complex environment. Architectural Runtime Verification (ARV) is an approach specifically designed for the integrator—a generic way to analyze system behavior on architecture level using the principles of Runtime Verification. This paper draws on our initial publication. It provides further details and an evaluation of the ideas using a database hosted in the cloud.
- © 2021 The Authors. Published by Atlantis Press B.V.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Lars Stockmann AU - Sven Laux AU - Eric Bodden PY - 2021 DA - 2021/02 TI - Using Architectural Runtime Verification for Offline Data Analysis JO - Journal of Automotive Software Engineering SP - 1 EP - 14 VL - 2 IS - 1 SN - 2589-2258 UR - https://doi.org/10.2991/jase.d.210205.001 DO - https://doi.org/10.2991/jase.d.210205.001 ID - Stockmann2021 ER -