A methodology for model-based verification of safety contracts and performance requirements. (June 2018)

• Record Type: Journal Article
• Authors: Gómez-Martínez, Elena; Rodríguez, Ricardo J; Benac-Earle, Clara; Etxeberria, Leire; Illarramendi, Miren
• Is Part Of: Proceedings of the Institution of Mechanical Engineers. Volume 232:Number 3(2018:Jun.)
• Page Start: 227
• Page End: 247
• Publication Date: 2018-06
• Subjects: Safety analysis -- rail system safety -- performance modelling -- modelling/simulation -- life cycle engineering; Reliability (Engineering) -- Mathematical models -- Periodiclals; Risk assessment -- Mathematical models -- Periodicals; Engineering design -- Mathematical models -- Periodicals; 620.00452
• DOI: 10.1177/1748006X16667328
• Languages: English
• ISSNs: 1748-006X

Abstract

The verification of safety requirements becomes crucial in critical systems where human lives depend on their correct functioning. Formal methods have often been advocated as necessary to ensure the reliability of software systems, albeit with a considerable effort. In any case, such an effort is cost-effective when verifying safety-critical systems. Often, safety requirements are expressed using safety contracts, in terms of assumptions and guarantees. To facilitate the adoption of formal methods in the safety-critical software industry, we propose a methodology based on well-known modelling languages such as the unified modelling language and object constraint language. The unified modelling language is used to model the software system while object constraint language is used to express the system safety contracts within the unified modelling language. In the proposed methodology a unified modelling language model enriched with object constraint language constraints is transformed to a Petri net model that enables us to formally verify such safety contracts. The methodology is evaluated on an industrial case study. The proposed approach allows an early safety verification to be performed, which increases the confidence of software engineers while designing the system.