Achim D. Brucker , Idir Ait-Sadoune , Nicolas Méric , Burkhart Wolff
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We achieve this by using Higher-order Logic (HOL) itself for query-expressions and data-constraints (ontological invariants) executed via code-generation and reflection. Moreover, we add support for <em>parametric</em> ontological classes, thus exploiting HOL's polymorphic type system.</div><div>The benefits are: First, the HOL representation allows for flexible and efficient run-time checking of abstract properties of formal content under evolution. Second, it is possible to prove properties over generic ontological classes. We demonstrate these new features by a number of smaller ontologies from various domains and a case study using a substantial ontology for formal system development targeting certification according to CENELEC 50128.</div></div>","PeriodicalId":49561,"journal":{"name":"Science of Computer Programming","volume":"241 ","pages":"Article 103231"},"PeriodicalIF":1.5000,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Parametric ontologies in formal software engineering\",\"authors\":\"Achim D. Brucker , Idir Ait-Sadoune , Nicolas Méric , Burkhart Wolff\",\"doi\":\"10.1016/j.scico.2024.103231\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Isabelle/DOF is an ontology framework on top of Isabelle/HOL. It allows for the formal development of ontologies and continuous conformity-checking of integrated documents, including the tracing of typed meta-data of documents. Isabelle/DOF deeply integrates into the Isabelle/HOL ecosystem, allowing to write documents containing (informal) text, executable code, (formal and semiformal) definitions, and proofs. Users of Isabelle/DOF can either use HOL or one of the many formal methods that have been embedded into Isabelle/HOL to express formal parts of their documents.</div><div>In this paper, we extend Isabelle/DOF with annotations of <figure><img></figure>-terms, a pervasive data-structure underlying Isabelle to syntactically represent expressions and formulas. We achieve this by using Higher-order Logic (HOL) itself for query-expressions and data-constraints (ontological invariants) executed via code-generation and reflection. Moreover, we add support for <em>parametric</em> ontological classes, thus exploiting HOL's polymorphic type system.</div><div>The benefits are: First, the HOL representation allows for flexible and efficient run-time checking of abstract properties of formal content under evolution. Second, it is possible to prove properties over generic ontological classes. 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Parametric ontologies in formal software engineering
Isabelle/DOF is an ontology framework on top of Isabelle/HOL. It allows for the formal development of ontologies and continuous conformity-checking of integrated documents, including the tracing of typed meta-data of documents. Isabelle/DOF deeply integrates into the Isabelle/HOL ecosystem, allowing to write documents containing (informal) text, executable code, (formal and semiformal) definitions, and proofs. Users of Isabelle/DOF can either use HOL or one of the many formal methods that have been embedded into Isabelle/HOL to express formal parts of their documents.
In this paper, we extend Isabelle/DOF with annotations of -terms, a pervasive data-structure underlying Isabelle to syntactically represent expressions and formulas. We achieve this by using Higher-order Logic (HOL) itself for query-expressions and data-constraints (ontological invariants) executed via code-generation and reflection. Moreover, we add support for parametric ontological classes, thus exploiting HOL's polymorphic type system.
The benefits are: First, the HOL representation allows for flexible and efficient run-time checking of abstract properties of formal content under evolution. Second, it is possible to prove properties over generic ontological classes. We demonstrate these new features by a number of smaller ontologies from various domains and a case study using a substantial ontology for formal system development targeting certification according to CENELEC 50128.
期刊介绍:
Science of Computer Programming is dedicated to the distribution of research results in the areas of software systems development, use and maintenance, including the software aspects of hardware design.
The journal has a wide scope ranging from the many facets of methodological foundations to the details of technical issues andthe aspects of industrial practice.
The subjects of interest to SCP cover the entire spectrum of methods for the entire life cycle of software systems, including
• Requirements, specification, design, validation, verification, coding, testing, maintenance, metrics and renovation of software;
• Design, implementation and evaluation of programming languages;
• Programming environments, development tools, visualisation and animation;
• Management of the development process;
• Human factors in software, software for social interaction, software for social computing;
• Cyber physical systems, and software for the interaction between the physical and the machine;
• Software aspects of infrastructure services, system administration, and network management.