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Operationalizing Normal Accident Theory for Safety-Related Computer Systems

Public Domain
File Language:
English


Details

  • Journal Article:
    Safety Science
  • Personal Author:
    Sammarco, John J.
  • Description:
    Computer-related accidents have caused injuries and fatalities in mining, as well as other industries. Normal accident theory (NAT) explains that some accidents are inevitable because of system complexity. NAT is a classic argument in organizational sociology, although it has been criticized as having imprecise definitions and lacking criteria for quantifying complexity. These limitations are addressed by a unique approach that recasts this organizational theory into an engineering-based methodology to quantify NAT complexities of computer-based systems. In this approach, complexity is categorized as external or internal. External complexity is defined by the external behavior of a system and is quantified by the following dependent variables: system predictability, observability, and usability. Dependent variable data contain the perceptions of 32 subjects running simulations of a system. The system's internal complexity is characterized by modeling system-level requirements with the software cost reduction (SCR) formal method. Model attributes are quantified using 15 graph-theoretical metrics--the independent variables. Five of 15 metrics are correlated with the dependent variables, as evidenced by structure correlations exceeding 0.25, with standard errors <0.10 and a 95% confidence interval. The results also show that the system predictability, observability, and usability decreased as NAT complexities increased. This research takes a step forward in operationalizing NAT for computerized systems. The research benefits mining, as well as other industries. [Description provided by NIOSH]
  • Subjects:
  • Keywords:
  • Source:
    Saf Sci 2005 Nov; 43(9):697-714
  • Series:
    Mining Publications
  • ISSN:
    0925-7535
  • Document Type:
    Text
  • Genre:
    Proceedings
  • Place as Subject:
  • CIO:
    National Institute for Occupational Safety and Health (NIOSH)
  • Division:
    PRL - Pittsburgh Research Laboratory
  • Topic:
    Workplace Safety & Health
  • Location:
    North America
  • Pages in Document:
    18 pdf pages
  • Volume:
    43
  • Issue:
    9
  • NIOSHTIC Number:
    nn:20028811
  • Contact Point Address:
    NIOSH Pittsburgh Research Laboratory, P.O. Box 18070, Pittsburgh, PA 15236
  • Email:
    JSammarco@cdc.gov
  • Federal Fiscal Year:
    2006
  • Peer Reviewed:
    True
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:78a8f783b4b0bdb00e47a6ad10a4ca37f3fa39cffc75c6895c5ce2636424f3fc77d2bbfdd7b9922182e011dba7d9bfd58b48627ed828fe55510fb0be7e096f7e
  • Download URL:
  • File Type:
    Filetype[PDF - 279.09 KB ]
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