Target Failure Measures and their Interval Estimations for E/E/PE Safety-Related Software

E/E/PE safety-related systems are applied in various industrial fields as safety systems that mitigate the hazardous risk of the entire system. Safety assessment of the E/E/PE safety-related systems provides important information for determining the need for risk mitigation activities. In particular, because the safety functions of the E/E/PE safety-related systems are controlled by software embedded in those safety-related systems, certain safety concerns exist not only for the hardware system but also for the software system. In this paper, we apply the concepts of existing software reliability modeling techniques to derivation of the target failure measures for quantitative software functional safety assessment of the E/E/PE safety-related systems. Furthermore, simulation-based interval estimation method for those target failure measures is discussed for considering the uncertainty of those measures based on the bootstrap method and bootstrap confidence interval. Finally, we present numerical examples of the proposed method to demonstrate our simulation-based interval estimation approach for quantitative software functional safety assessment.

Authors

Institutions

Publication Details

Journal
International Journal of Reliability Quality and Safety Engineering
Published
2025-11-20
DOI
https://doi.org/10.1142/s0218539325500536
Primary Topic
Software Reliability and Analysis Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Target Failure Measures and their Interval Estimations for E/E/PE Safety-Related Software

T. Fujiwara, Shigeru Yamada, Shinji Inoue
International Journal of Reliability Quality and Safety Engineering
Software Reliability and Analysis Research
article

Target Failure Measures and their Interval Estimations for E/E/PE Safety-Related Software

T. Fujiwara, Shigeru Yamada, Shinji Inoue
article en

Abstract

E/E/PE safety-related systems are applied in various industrial fields as safety systems that mitigate the hazardous risk of the entire system. Safety assessment of the E/E/PE safety-related systems provides important information for determining the need for risk mitigation activities. In particular, because the safety functions of the E/E/PE safety-related systems are controlled by software embedded in those safety-related systems, certain safety concerns exist not only for the hardware system but also for the software system. In this paper, we apply the concepts of existing software reliability modeling techniques to derivation of the target failure measures for quantitative software functional safety assessment of the E/E/PE safety-related systems. Furthermore, simulation-based interval estimation method for those target failure measures is discussed for considering the uncertainty of those measures based on the bootstrap method and bootstrap confidence interval. Finally, we present numerical examples of the proposed method to demonstrate our simulation-based interval estimation approach for quantitative software functional safety assessment.

International Journal of Reliability Quality and Safety EngineeringVol. 33(01)
Tottori University (JP), Kansai University (JP)
Openalex Percentile: Top 64%
Software Reliability and Analysis Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Target Failure Measures and their Interval Estimations for E/E/PE Safety-Related Software — T. Fujiwara, Shigeru Yamada, et al. · International Journal of Reliability Quality and Safety Engineering (2025) | TGRS Research Map | TGRS