Towards Safety Risk Assessment of Socio-Technical Systems via Failure Logic Analysis

Gallina, Barbara; Sefer, Edin; Refsdal, Atle

doi:10.1109/issrew.2014.49

Cited by 18 publications

(13 citation statements)

References 11 publications

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“…As future work, we aim at using the extended metalmodel on an industrial case study to illustrate the contribution of the extended modeling elements. In addition, we plan to use this extended metamodel for extending analysis techniques such as Concerto-FLA Gallina et al (2014), which is an implemented technique in CHESS Toolset Cicchetti et al (2012).…”

Section: Discussionmentioning

confidence: 99%

A Metamodel Extension to Capture Post Normal Accidents in AR-equipped Socio-technical Systems

Bahaei¹,

Gallina²

2021

Proceedings of the 31st European Safety and Reliability Conference (ESREL 2021)

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In the past twenty to thirty years, organizations have extremely changed and these changes in addition to technological changes such as use of augmented reality (AR) introduce new system risks. Post normal accidents theory describes that organizations are more globalized and digitalized and are formed as networks of organizations, which would lead to post normal accidents such as network failure accident. In addition, it states that strategies and organizational structures are more financialised and networked respectively and technology and task are more digitalized and standardized. These organizational factors affect also on human performance. Organization and human are considered as the socio parts of socio-technical systems. Metamodels should provide the modeling elements required for modeling human and organizational factors in new AR-equipped socio-technical systems. Current metamodels do not consider factors that would lead to post normal accidents. In this paper, we elaborate the theory of post normal accidents and we extract the influencing factors leading to post normal accidents. We also consider global distance including geographical, temporal and cultural distances, as an influencing factor on human performance. Then, we use the extracted influencing factors for extending modeling elements in our previously proposed conceptual metamodel for modeling AR-equipped socio-technical systems. Our proposed extended metalmodel can be used by analysis techniques in order to perform risk assessment for AR-equipped socio-technical systems.

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Section: Discussionmentioning

confidence: 99%

A Metamodel Extension to Capture Post Normal Accidents in AR-equipped Socio-technical Systems

Bahaei¹,

Gallina²

2021

Proceedings of the 31st European Safety and Reliability Conference (ESREL 2021)

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“…Even though CHESS has been successfully applied in different application domains such as Avionics [16], Automotive [17], Space [18], Telecommunication [19], and Petroleum [20,21], its current status does not explicitly provide modelling capabilities for the IoT domain. Consequently, we aim at extending the existing modelling and analysis infrastructure starting from software modelling infrastructure.…”

Section: Chess Development Environmentmentioning

confidence: 99%

Towards a modeling and analysis environment for industrial IoT systems

Ihirwe,

Di Ruscio,

Mazzini

et al. 2021

Preprint

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The development of Industrial Internet of Things systems (IIoT) requires tools robust enough to cope with the complexity and heterogeneity of such systems, which are supposed to work in safety-critical conditions. The availability of methodologies to support early analysis, verification, and validation is still an open issue in the research community. The early real-time schedulability analysis can help quantify to what extent the desired system's timing performance can eventually be achieved. In this paper, we present CHESSIoT, a model-driven environment to support the design and analysis of industrial IoT systems. CHESSIoT follows a multi-view, component-based modelling approach with a comprehensive way to perform event-based modelling on system components for code generation purposes employing an intermediate ThingML model. To showcase the capability of the extension, we have designed and analysed an Industrial real-time safety use case.

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“…The work in [9] introduces an approach for the safety analysis of socio-technical systems, based on failure logic analysis techniques. The approach is applied to a case study in the petroleum domain.…”

Section: Related Workmentioning

confidence: 99%

“…Component is here intended in a broader sense, also considering human and organizational entities as in [9]. Components are affected by internal faults, which occur with a given fault occurrence probability distribution, and by external faults, which are caused by other components [1].…”

Section: B Barriers Architectural Modelsmentioning

confidence: 99%

A Model-Based Approach to Support Safety-Related Decisions in the Petroleum Domain

Montecchi

Refsdal

Lollini

et al. 2016

2016 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)

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Abstract-Accidents on petroleum installations can have huge consequences; to mitigate the risk, a number of safety barriers are devised. Faults and unexpected events may cause barriers to temporarily deviate from their nominal state. For safety reasons, a work permit process is in place: decision makers accept or reject work permits based on the current state of barriers. However, this is difficult to estimate, as it depends on a multitude of physical, technical and human factors. Information obtained from different sources needs to be aggregated by humans, typically within a limited amount of time. In this paper we propose an approach to provide an automated decision support to the work permit system, which consists in the evaluation of quantitative measures of the risk associated with the execution of work. The approach relies on state-based stochastic models, which can be automatically composed based on the work permit to be examined.

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Towards Safety Risk Assessment of Socio-Technical Systems via Failure Logic Analysis

Cited by 18 publications

References 11 publications

A Metamodel Extension to Capture Post Normal Accidents in AR-equipped Socio-technical Systems

A Metamodel Extension to Capture Post Normal Accidents in AR-equipped Socio-technical Systems

Towards a modeling and analysis environment for industrial IoT systems

A Model-Based Approach to Support Safety-Related Decisions in the Petroleum Domain

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