Abstract
Incident reporting systems are playing an increasingly important role in the development and maintenance of safety-critical applications. The perceived success of the FAA’s Aviation Safety Reporting System (ASRS) and the FDA’s MedWatch has led to the establishment of similar national and international schemes. These enable individuals and groups to report their safety concerns in a confidential or anonymous manner. Unfortunately, many of these systems are becoming victims of their own success. The ASRS and MedWatch have both now received over 500,000 submissions. In the past, these systems have relied upon conventional database technology to support the indexing and retrieval of individual reports. However, there are several reasons why this technology is inadequate for many large-scale reporting schemes. In particular, the problems of query formation often result in poor precision and recall. This, in turn, has profound implications for safety-critical applications. Users may fail to identify similar incidents within national or international collections. This paper, therefore, shows how several alternative software architectures support incident report systems in safety-critical applications.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
W. van Vuuren, Organizational Failure: An Exploratory Study in the Steel Industry and the Medical Domain, PhD thesis, Technical University of Eindhoven, Netherlands, 1998.
D. Busse and C.W. Johnson, Human Error in an Intensive Care Unit: A Cognitive Analysis of Critical Incidents. In J. Dixon (editor) 17th International Systems Safety Conference, Systems Safety Society, Unionville, Virginia, USA, 138–147, 1999.
M.D. Dunlop, C.W. Johnson and J. Reid, Exposing the Layers of Information Retrieval Evaluation, Interacting with Computers, (10)3:225–237, 1998.
S. Lainoff, Finding Human Error Evidence in Ordinary Airline Event Data. In M. Koch and J. Dixon (eds.) 17th International Systems Safety Conference, International Systems Safety Society, Orlando, Florida, 1999.
P. E. Reimers and S. M. Chung, Intelligent User Interface for Very Large Relational Databases. Proc. of the Fifth International Conference on Human-Computer Interaction 1993 v.2 p.134–139
H.R. Turtle and W.B. Croft, Evaluation of an inference network-based retrieval model. ACM Transactions on Information Systems, 9(3):187–222, 1991.
P. McElroy, Information Retrieval/Case-Based Reasoning for Critical Incident and Accident Data. Project Dissertation. Department of Computing Science, University of Glasgow, Scotland. May 2000.
D. Aha, L.A. Breslow and H. Munoz-Avila, Conversational Case-Based Reasoning. Journal of Artificial Intelligence (2000, to appear).
C.W. Johnson, Using Case-Based Reasoning to Support the Indexing and Retrieval of Incident Reports. Accepted and to appear in the Proceedings of European Safety and Reliability Conference (ESREL 2000): Foresight and Precaution, 2000.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Johnson, C. (2000). Software Support for Incident Reporting Systems in Safety-Critical Applications. In: Koornneef, F., van der Meulen, M. (eds) Computer Safety, Reliability and Security. SAFECOMP 2000. Lecture Notes in Computer Science, vol 1943. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-40891-6_9
Download citation
DOI: https://doi.org/10.1007/3-540-40891-6_9
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-41186-4
Online ISBN: 978-3-540-40891-8
eBook Packages: Springer Book Archive