Flight critical software and systems development using ASSERT™

Siu, Kit; Moitra, Abha; Durling, Michael; Crapo, Andy; Li, Meng; Yu, Han; Herencia-Zapana, Heber; Castillo-Effen, Mauricio; Sen, Shiraj; McMillan, Craig; Roy, Sundeep; Manolios, Panagiotis

doi:10.1109/dasc.2017.8102059

Cited by 13 publications

(3 citation statements)

References 18 publications

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“…Several commercial tools are also available for formal requirements engineering. The ASSERT tool [8,30], proprietary to GE, uses an ontology-based approach both for formalizing domains through the language SADL, and the requirements themselves, through the language SRL. Requirements are in the form of assignments to attributes conditioned on (possibly temporal) Boolean conditions.…”

Section: Related Workmentioning

confidence: 99%

A compositional proof framework for FRETish requirements

Conrad

Titolo

Giannakopoulou

et al. 2022

Proceedings of the 11th ACM SIGPLAN International Conference on Certified Programs and Proofs

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Structured natural languages provide a trade space between ambiguous natural languages that make up most written requirements, and mathematical formal specifications such as Linear Temporal Logic. FRETish is a structured natural language for the elicitation of system requirements developed at NASA. The related open-source tool Fret provides support for translating FRETish requirements into temporal logic formulas that can be input to several verification and analysis tools. In the context of safety-critical systems, it is crucial to ensure that a generated formula captures the semantics of the corresponding FRETish requirement precisely. This paper presents a rigorous formalization of the FRETish language including a new denotational semantics and a proof of semantic equivalence between FRETish specifications and their temporal logic counterparts computed by Fret. The complete formalization and the proof have been developed in the Prototype Verification System (PVS) theorem prover.

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Section: Related Workmentioning

confidence: 99%

A compositional proof framework for FRETish requirements

Conrad

Titolo

Giannakopoulou

et al. 2022

Proceedings of the 11th ACM SIGPLAN International Conference on Certified Programs and Proofs

View full text Add to dashboard Cite

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“…These approaches will likely be driven by the synthesis of complex designs into verifiable models using high-level design languages such as AADL, SysML, and SDL to build a degree of self-awareness into autonomous systems, and then the application of formal methods for validation of these models during autonomous operation [53] [54]. Formal testing of a system using semantic system modelling and requirements capture such as in the ASSERT toolchain [55] is an important part of the simulation step for ensuring software and hardware performance. While formal modelling is still a challenge for robotic systems of conventional complexity, progress is being made in this area for the benefit of modular space hardware.…”

Section: System Designmentioning

confidence: 99%

Modularity for the future in space robotics: A review

2021

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“…In the past few years, there has been an increasing number of success stories regarding the use of ontological models to gain more value from data in the biomedical domain [45][46][47][48], financial domain [49], and also the engineering domain [50][51][52][53][54][55][56][57][58][59]. To do so, data from various sources need to be fused into an ontology model where an automated reasoner can be applied to gain more insight from the data.…”

Section: Iron Age (Late 2010s and Forward)mentioning

confidence: 99%

Standards-based semantic integration of manufacturing information: Past, present, and future

Kulvatunyou

Ivezic

et al. 2019

Journal of Manufacturing Systems

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Service-oriented architecture (SOA) has been identified as a key to enabling the emerging manufacturing paradigms such as smart manufacturing, Industrie 4.0, and cloud manufacturing where things (i.e., various kinds of devices and software systems) from heterogeneous sources have to be dynamically connected. Data exchange standards are playing an increasingly important role to reduce risks associated with investments in these Industrial Internet of Things (IIoT) and adoptions of those emerging manufacturing paradigms. This paper looks back into the history of the standards for carrying the semantics of data across systems (or things), how they are developed, maintained, and represented, and then presents an insight into the current trends. In particular, the paper discusses the emerging move in data exchange standards practices toward model-based development and usage. We present functional requirements for a system supporting the model-based approach and conclude with implications and future directions.

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Flight critical software and systems development using ASSERT™

Cited by 13 publications

References 18 publications

A compositional proof framework for FRETish requirements

A compositional proof framework for FRETish requirements

Modularity for the future in space robotics: A review

Standards-based semantic integration of manufacturing information: Past, present, and future

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