IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v197y2020ics0951832018307166.html
   My bibliography  Save this article

Incorporating software failure in risk analysis – Part 1: Software functional failure mode classification

Author

Listed:
  • Thieme, Christoph A.
  • Mosleh, Ali
  • Utne, Ingrid B.
  • Hegde, Jeevith

Abstract

Advanced technological systems consist of a combination of hardware and software, and they are often operated or supervised by a human operator. Failures in software-intensive systems may be difficult to identify, analyze, and mitigate, owing to system complexity, system interactions, and cascading effects. Risk analysis of such systems is necessary to ensure safe operation.

Suggested Citation

  • Thieme, Christoph A. & Mosleh, Ali & Utne, Ingrid B. & Hegde, Jeevith, 2020. "Incorporating software failure in risk analysis – Part 1: Software functional failure mode classification," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
    • Handle: RePEc:eee:reensy:v:197:y:2020:i:c:s0951832018307166
    DOI: 10.1016/j.ress.2020.106803
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832018307166
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ress.2020.106803?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Aldemir, T. & Guarro, S. & Mandelli, D. & Kirschenbaum, J. & Mangan, L.A. & Bucci, P. & Yau, M. & Ekici, E. & Miller, D.W. & Sun, X. & Arndt, S.A., 2010. "Probabilistic risk assessment modeling of digital instrumentation and control systems using two dynamic methodologies," Reliability Engineering and System Safety, Elsevier, vol. 95(10), pages 1011-1039.
    2. Zhu, Dongfeng & Mosleh, Ali & Smidts, Carol, 2007. "A framework to integrate software behavior into dynamic probabilistic risk assessment," Reliability Engineering and System Safety, Elsevier, vol. 92(12), pages 1733-1755.
    3. Al-Dabbagh, Ahmad W. & Lu, Lixuan, 2010. "Reliability modeling of networked control systems using dynamic flowgraph methodology," Reliability Engineering and System Safety, Elsevier, vol. 95(11), pages 1202-1209.
    4. Chris Garrett & George Apostolakis, 1999. "Context in the Risk Assessment of Digital Systems," Risk Analysis, John Wiley & Sons, vol. 19(1), pages 23-32, February.
    5. Bin Li & Ming Li & Carol Smidts, 2005. "Integrating Software into PRA: A Test‐Based Approach," Risk Analysis, John Wiley & Sons, vol. 25(4), pages 1061-1077, August.
    6. Stanley Kaplan & B. John Garrick, 1981. "On The Quantitative Definition of Risk," Risk Analysis, John Wiley & Sons, vol. 1(1), pages 11-27, March.
    7. Thieme, Christoph A. & Mosleh, Ali & Utne, Ingrid B. & Hegde, Jeevith, 2020. "Incorporating software failure in risk analysis––Part 2: Risk modeling process and case study," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nejad, Hamed S. & Parhizkar, Tarannom & Mosleh, Ali, 2022. "Automatic generation of event sequence diagrams for guiding simulation based dynamic probabilistic risk assessment (SIMPRA) of complex systems," Reliability Engineering and System Safety, Elsevier, vol. 222(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Thieme, Christoph A. & Mosleh, Ali & Utne, Ingrid B. & Hegde, Jeevith, 2020. "Incorporating software failure in risk analysis––Part 2: Risk modeling process and case study," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
    2. Brissaud, Florent & Smidts, Carol & Barros, Anne & Bérenguer, Christophe, 2011. "Dynamic reliability of digital-based transmitters," Reliability Engineering and System Safety, Elsevier, vol. 96(7), pages 793-813.
    3. James H. Lambert & Rachel K. Jennings & Nilesh N. Joshi, 2006. "Integration of risk identification with business process models," Systems Engineering, John Wiley & Sons, vol. 9(3), pages 187-198, September.
    4. Zio, E., 2018. "The future of risk assessment," Reliability Engineering and System Safety, Elsevier, vol. 177(C), pages 176-190.
    5. McNelles, Phillip & Zeng, Zhao Chang & Renganathan, Guna & Lamarre, Greg & Akl, Yolande & Lu, Lixuan, 2016. "A comparison of Fault Trees and the Dynamic Flowgraph Methodology for the analysis of FPGA-based safety systems Part 1: Reactor trip logic loop reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 153(C), pages 135-150.
    6. Tyrväinen, T., 2013. "Risk importance measures in the dynamic flowgraph methodology," Reliability Engineering and System Safety, Elsevier, vol. 118(C), pages 35-50.
    7. Francesco Di Maio & Samuele Baronchelli & Enrico Zio, 2015. "A Computational Framework for Prime Implicants Identification in Noncoherent Dynamic Systems," Risk Analysis, John Wiley & Sons, vol. 35(1), pages 142-156, January.
    8. Shin, Sung-Min & Lee, Sang Hun & Shin, Seung Ki, 2022. "A novel approach for quantitative importance analysis of safety DI&C systems in the nuclear field," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    9. Gundula Glowka & Andreas Kallmünzer & Anita Zehrer, 2021. "Enterprise risk management in small and medium family enterprises: the role of family involvement and CEO tenure," International Entrepreneurship and Management Journal, Springer, vol. 17(3), pages 1213-1231, September.
    10. Benischke, Mirko H. & Guldiken, Orhun & Doh, Jonathan P. & Martin, Geoffrey & Zhang, Yanze, 2022. "Towards a behavioral theory of MNC response to political risk and uncertainty: The role of CEO wealth at risk," Journal of World Business, Elsevier, vol. 57(1).
    11. S. Cucurachi & E. Borgonovo & R. Heijungs, 2016. "A Protocol for the Global Sensitivity Analysis of Impact Assessment Models in Life Cycle Assessment," Risk Analysis, John Wiley & Sons, vol. 36(2), pages 357-377, February.
    12. K. Karthikeyan & S. Bharath & K. Ranjith Kumar, 2012. "An Empirical Study on Investors’ Perception towards Mutual Fund Products through Banks with Reference to Tiruchirapalli City, Tamil Nadu," Vision, , vol. 16(2), pages 101-108, June.
    13. Nicola Paltrinieri & Nicolas Dechy & Ernesto Salzano & Mike Wardman & Valerio Cozzani, 2012. "Lessons Learned from Toulouse and Buncefield Disasters: From Risk Analysis Failures to the Identification of Atypical Scenarios Through a Better Knowledge Management," Risk Analysis, John Wiley & Sons, vol. 32(8), pages 1404-1419, August.
    14. Louis Anthony (Tony) Cox, Jr., 2012. "Community Resilience and Decision Theory Challenges for Catastrophic Events," Risk Analysis, John Wiley & Sons, vol. 32(11), pages 1919-1934, November.
    15. Chen, Fuzhong & Hsu, Chien-Lung & Lin, Arthur J. & Li, Haifeng, 2020. "Holding risky financial assets and subjective wellbeing: Empirical evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    16. Niël Almero Krüger & Natanya Meyer, 2021. "The Development of a Small and Medium-Sized Business Risk Management Intervention Tool," JRFM, MDPI, vol. 14(7), pages 1-14, July.
    17. Johnson, Caroline A. & Flage, Roger & Guikema, Seth D., 2021. "Feasibility study of PRA for critical infrastructure risk analysis," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
    18. Kasai, Naoya & Matsuhashi, Shigemi & Sekine, Kazuyoshi, 2013. "Accident occurrence model for the risk analysis of industrialfacilities," Reliability Engineering and System Safety, Elsevier, vol. 114(C), pages 71-74.
    19. J. C. Helton & F. J. Davis, 2002. "Illustration of Sampling‐Based Methods for Uncertainty and Sensitivity Analysis," Risk Analysis, John Wiley & Sons, vol. 22(3), pages 591-622, June.
    20. Michael Greenberg & Paul Lioy & Birnur Ozbas & Nancy Mantell & Sastry Isukapalli & Michael Lahr & Tayfur Altiok & Joseph Bober & Clifton Lacy & Karen Lowrie & Henry Mayer & Jennifer Rovito, 2013. "Passenger Rail Security, Planning, and Resilience: Application of Network, Plume, and Economic Simulation Models as Decision Support Tools," Risk Analysis, John Wiley & Sons, vol. 33(11), pages 1969-1986, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:reensy:v:197:y:2020:i:c:s0951832018307166. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.