A retrospective on Telos as a metamodeling language for requirements engineering
| Autor: | John Mylopoulos, Panos Constantopoulos, Martin Doerr, Dimitris Plexousakis, Alexander Borgida, Manolis Koubarakis, Manfred A. Jeusfeld, Matthias Jarke |
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| Přispěvatelé: | Publica |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Knowledge representation and reasoning
Programvaruteknik Computer science Semantics (computer science) 0211 other engineering and technologies 02 engineering and technology Semantic networks Metamodeling Semantic network RDF Teknik och teknologier 0202 electrical engineering electronic engineering information engineering Software system Cultural informatics Systemvetenskap informationssystem och informatik 021103 operations research Software engineering Requirements engineering business.industry Computer Sciences 020207 software engineering Telos Conceptual modeling Requirements modeling Datavetenskap (datalogi) Knowledge representation Domain knowledge Engineering and Technology business Software Information Systems |
| Popis: | Telos is a conceptual modeling language intended to capture software knowledge, such as software system requirements, domain knowledge, architectures, design decisions and more. To accomplish this, Telos was designed to be extensible in the sense that the concepts used to capture software knowledge can be defined in the language itself, instead of being built-in. This extensibility is accomplished through powerful metamodeling features, which proved very useful for interrelating heterogeneous models from requirements, model-driven software engineering, data integration, ontology engineering, cultural informatics and education. We trace the evolution of ideas and research results in the Telos project from its origins in the late eighties. Our account looks at the semantics of Telos, its various implementations and its applications. We also recount related research by other groups and the cross-influences of ideas thereof. We conclude with lessons learnt. Published: 12 March 2020 |
| Databáze: | OpenAIRE |
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