Abstract

This paper presents a mock-up of a tool for storing and assessing Software Error Effect Analysis (SEEA) for the automatic devices safety of terrestrial guided transport systems. SEEA is an inductive process which attempts to determine the impacts and severity of software failures. The purpose of our work is to exploit historical SEEA, which have already been carried out on approved safety-critical software, in order to assess SEEA of a new software. The production of this mock-up, in the process of validation, involves the use of Case-Based Reasoning (CBR). This is one of the reasoning types used in artificial intelligence for machine learning. The basic principle of CBR is to deal with a new problem by remembering similar experienc

Details

Title
Applying Case-Based Reasoning To The Storing And Assessment Of Software Error-effect Analysis In Railway Systems
Author
Darricau, M; Hadj-Mabrouk, H
Publication year
1996
Publication date
1996
Publisher
W I T Press
ISSN
1746-4498
e-ISSN
1743-3509
Source type
Other Source
Language of publication
English
ProQuest document ID
2266515943
Copyright
© 1996. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at https://www.witpress.com/elibrary .