An aspect-oriented approach for designing safety-critical systems

Petrov, Zlatko; Zaykov, Pavel; Cardoso, João M. P.; Coutinho, J.G.F.; Diniz, Pedro C.; Luk, Wayne

doi:10.1109/aero.2013.6497184

Cited by 2 publications

(2 citation statements)

References 10 publications

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“…Hadikusumo and Rowlinson [31] built similar safety design process tools. Seo and Choi [32][33][34][35][36][37][38][39][40][41][42][43] evaluated and selected the design schemes of specific metro engineering projects by establishing the matching relationship between design suggestions and safety risks.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid PSO–SVM Model Based on Safety Risk Prediction for the Design Process in Metro Station Construction

Liu

Xie

Bian

et al. 2020

IJERPH

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Incorporating safety risk into the design process is one of the most effective design sciences to enhance the safety of metro station construction. In such a case, the concept of Design for Safety (DFS) has attracted much attention. However, most of the current research overlooks the risk-prediction process in the application of DFS. Therefore, this paper proposes a hybrid risk-prediction framework to enhance the effectiveness of DFS in practice. Firstly, 12 influencing factors related to the safety risk of metro construction are identified by adopting the literature review method and code of construction safety management analysis. Then, a structured interview is used to collect safety risk cases of metro construction projects. Next, a developed support vector machine (SVM) model based on particle swarm optimization (PSO) is presented to predict the safety risk in metro construction, in which the multi-class SVM prediction model with an improved binary tree is designed. The results show that the average accuracy of the test sets is 85.26%, and the PSO–SVM model has a high predictive accuracy for non-linear relationship and small samples. The results show that the average accuracy of the test sets is 85.26%, and the PSO–SVM model has a high predictive accuracy for non-linear relationship and small samples. Finally, the proposed framework is applied to a case study of metro station construction. The prediction results show the PSO–SVM model is applicable and reasonable for safety risk prediction. This research also identifies the most important influencing factors to reduce the safety risk of metro station construction, which provides a guideline for the safety risk prediction of metro construction for design process.

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Section: Introductionmentioning

confidence: 99%

A Hybrid PSO–SVM Model Based on Safety Risk Prediction for the Design Process in Metro Station Construction

Liu

Xie

Bian

et al. 2020

IJERPH

View full text Add to dashboard Cite

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“…Two further publications ( [38], [39]) describe the avionics example system and describe the design flow in more detail. There are further publications on the REFLECT design flow; however, these publications do not focus on the safety and design pattern aspects.…”

Section: Methods Maturitymentioning

confidence: 99%

Pattern-based safety development methods

Preschern

Kajtazovic

Höller

et al. 2014

Proceedings of the 19th European Conference on Pattern Languages of Programs

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Design patterns provide good solutions to re-occurring problems and several patterns and methods how to apply them have been documented for safety-critical systems. However, due to the large amount of safety-related patterns and methods, it is difficult to get an overview of their capabilities and shortcomings as there currently is no survey on safety patterns and their application methods available in literature.To give an overview of existing pattern-based safety development methods, this paper presents existing methods from literature and discusses and compares several aspects of these methods such as the patterns and tools they use, their integration into a safety development process, or their maturity.

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An aspect-oriented approach for designing safety-critical systems

Cited by 2 publications

References 10 publications

A Hybrid PSO–SVM Model Based on Safety Risk Prediction for the Design Process in Metro Station Construction

A Hybrid PSO–SVM Model Based on Safety Risk Prediction for the Design Process in Metro Station Construction

Pattern-based safety development methods

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