A model-based extension to HiP-HOPS for dynamic fault propagation studies

Sohag Kabir, Yiannis Papadopoulos, Martin Walker, David Parker, Jose Ignacio Aizpurua , Jorg Lampe, Erich Rude

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

16 Citations (Scopus)


HiP-HOPS is a model-based approach for assessing the dependability of safety-critical systems. The method combines models, logic, probabilities and nature-inspired algorithms to provide advanced capabilities for design optimisation, requirement allocation and safety argument generation. To deal with dynamic systems, HiP-HOPS has introduced temporal operators and a temporal logic to represent and assess event sequences in component failure modelling. Although this approach has been shown to work, it is not entirely consistent with the way designers tend to express operational dynamics in models which show mode and state sequences. To align HiP-HOPS better with typical design techniques, in this paper, we extend the method with the ability to explicitly consider different modes of operation. With this added capability HiP-HOPS can create and analyse temporal fault trees from architectural models of a system which are augmented with mode information
Original languageEnglish
Title of host publicationModel-Based Safety and Assessment - 5th International Symposium, IMBSA 2017
EditorsMarco Bozzano, Yiannis Papadopoulos
Number of pages15
VolumeLNCS 10437
ISBN (Print)978-3-319-64118-8
Publication statusPublished - 2 Aug 2017
EventInternational Symposium on Model-based Safety and Assessment - Trento, Italy
Duration: 11 Sept 201713 Sept 2017

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743


ConferenceInternational Symposium on Model-based Safety and Assessment
Abbreviated titleIMBSA
Internet address


  • model-based safety analysis
  • fault tree analysis
  • HiP-HOPS
  • dynamic systems
  • temporal fault trees


Dive into the research topics of 'A model-based extension to HiP-HOPS for dynamic fault propagation studies'. Together they form a unique fingerprint.

Cite this