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Embedded Linux Quality Assurance: How to Not Lie with Statistics

  • Embedded Linux drives an every-increasing number of appliances in many domains and applications, some even real-time and/or safety critical. Traditional quality assurance of such systems is based on testing and formal verification, but the huge amount of code and the rapid dynamics of the Linux ecosystem, as well as fundamental limitations of formal methods make these approaches unsatisfactory. Statistical quality assurance for reliability, error rates, maximal latencies etc. is needed. We will discuss current best practises, how to design and run automated statistical tests that capture relevant information, and how to properly evaluate the resulting data. Practical real-world examples and recipes are played through using the open source R language. Most importantly, we identify common mistakes in (over-)interpreting statistical results and predictions that may eventually harm people.

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Metadaten
Author:Wolfgang MauererORCiDGND
URL / DOI:https://www.youtube.com/watch?v=8671RYrsAj4
Parent Title (German):Embedded Linux Conference North America ; OpenIoTSummit North America
Document Type:conference proceeding (presentation, abstract)
Language:English
Year of first Publication:2018
Release Date:2022/05/03
Institutes:Fakultät Informatik und Mathematik
Fakultät Informatik und Mathematik / Labor für Digitalisierung (LFD)
research focus:Digitalisierung
Licence (English):Creative Commons - CC BY - Namensnennung 3.0 International