Safety Case Maintenance: A Systematic Literature Review

Cârlan, Carmen; Gallina, Barbara; Soima, Liana

doi:10.1007/978-3-030-83903-1_8

Cited by 3 publications

(1 citation statement)

References 36 publications

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“…We designed a review protocol by following the steps proposed by the guidelines described in Section 3. The first author prepared the protocol while the second and third authors (who have previously participated in research involving SLR; see for instance Carlan et al 141 and Ul Muram et al 141 ) ensure appropriateness by performing an exhaustive review and assessment. We also pay careful attention to external reviewers' critical comments on an earlier versions of this paper (see the report previously published in Castellanos Ardila et al, 143 which was also included in the Ph.D Dissertation 144 ).…”

Section: Validity Of the Resultsmentioning

confidence: 99%

Compliance checking of software processes: A systematic literature review

Ardila

Gallina

Muram

2022

J Software Evolu Process

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The processes used to develop software need to comply with normative requirements (e.g., standards and regulations) to align with the market and the law. Manual compliance checking is challenging because there are numerous requirements with changing nature and different purposes. Despite the importance of automated techniques, there is not any systematic study in this field. This lack may hinder organizations from moving toward automated compliance checking practices. In this paper, we characterize the methods for automatic compliance checking of software processes, including used techniques, potential impacts, and challenges. For this, we undertake a systematic literature review (SLR) of studies reporting methods in this field. As a result, we identify solutions that use different techniques (e.g., anthologies and metamodels) to represent processes and their artifacts (e.g., tasks and roles). Various languages, which have diverse capabilities for managing competing and changing norms, and agile strategies, are also used to represent normative requirements. Most solutions require tool‐support concretization and enhanced capabilities to handle processes and normative diversity. Our findings outline compelling areas for future research. In particular, there is a need to select suitable languages for consolidating a generic and normative‐agnostic solution, increase automation levels, tool support, and boost the application in practice by improving usability aspects.

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Section: Validity Of the Resultsmentioning

confidence: 99%

Compliance checking of software processes: A systematic literature review

Ardila

Gallina

Muram

2022

J Software Evolu Process

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Assurance Case Development as Data: A Manifesto

Menghi

Viger

Sandro

et al. 2023

2023 IEEE/ACM 45th International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER)

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Artificial Intelligence for Safety-Critical Systems in Industrial and Transportation Domains: A Survey

Perez-Cerrolaza,

Abella,

Borg

et al. 2024

ACM Comput. Surv.

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Artificial Intelligence (AI) can enable the development of next-generation autonomous safety-critical systems in which Machine Learning (ML) algorithms learn optimized and safe solutions. AI can also support and assist human safety engineers in developing safety-critical systems. However, reconciling both cutting-edge and state-of-the-art AI technology with safety engineering processes and safety standards is an open challenge that must be addressed before AI can be fully embraced in safety-critical systems. Many works already address this challenge, resulting in a vast and fragmented literature. Focusing on the industrial and transportation domains, this survey structures and analyzes challenges, techniques, and methods for developing AI-based safety-critical systems, from traditional functional safety systems to autonomous systems. AI trustworthiness spans several dimensions, such as engineering, ethics and legal, and this survey focuses on the safety engineering dimension.

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Safety Case Maintenance: A Systematic Literature Review

Cited by 3 publications

References 36 publications

Compliance checking of software processes: A systematic literature review

Compliance checking of software processes: A systematic literature review

Assurance Case Development as Data: A Manifesto

Artificial Intelligence for Safety-Critical Systems in Industrial and Transportation Domains: A Survey

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