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Related papers: Formal Semantics of Architectural Decision Models

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The software patterns provide building blocks to the design and implementation of a software system, and try to make the software engineering to progress from experience to science. The software patterns were made famous because of the…

Logic in Computer Science · Computer Science 2021-10-26 Yong Wang

Software architecture is receiving increasingly attention as a critical design level for software systems. As software architecture design resources (in the form of architectural specifications) are going to be accumulated, the development…

Software Engineering · Computer Science 2009-09-25 Jianjun Zhao

In this paper, we further develop the framework of Modular Systems that lays model-theoretic foundations for combining different declarative languages, agents and solvers. We introduce a multi-language logic of modular systems. We define…

Logic in Computer Science · Computer Science 2014-05-07 Shahab Tasharrofi , Eugenia Ternovska

Abstraction is one of the fundamental concepts of software design. Consequently, the determination of an appropriate abstraction level for the multitude of artefacts that form a software system is an integral part of software engineering.…

Software Engineering · Computer Science 2017-09-06 Stefan Wagner , Florian Deissenboeck

Organisations, whether in government, industry or commerce, are required to make decisions in a complex and uncertain environment. The way models are used is intimately connected to the way organisations make decisions and the context in…

Other Statistics · Statistics 2020-08-28 Chris J Dent , Michael Goldstein , Andrew Wright , Henry P. Wynn

Architecture patterns capture architectural design experience and provide abstract solutions to recurring architectural design problems. They consist of a description of component types and restrict component connection and activation.…

Software Engineering · Computer Science 2017-03-22 Diego Marmsoler , Silvio Degenhardt

It has been a long time that computer architecture and systems are optimized for efficient execution of machine learning (ML) models. Now, it is time to reconsider the relationship between ML and systems, and let ML transform the way that…

Machine Learning · Computer Science 2022-02-25 Nan Wu , Yuan Xie

Systems design processes are increasingly reliant on simulation models to inform design decisions. A pervasive issue within the systems engineering community is trusting in the models used to make decisions about complex systems. This work…

Computational Engineering, Finance, and Science · Computer Science 2025-08-05 Edward Louis , Gregory Mocko , Evan Taylor

Probabilistic programming is considered as a framework, in which basic components of cognitive architectures can be represented in unified and elegant fashion. At the same time, necessity of adopting some component of cognitive…

Artificial Intelligence · Computer Science 2016-05-05 Alexey Potapov

Software architectures are critical in the successful development and evolution of software-intensive systems. While formal and automated support for architectural descriptions has been widely addressed, their evolution is equally crucial,…

Software Engineering · Computer Science 2016-05-23 Dalila Tamzalit , Tom Mens

Modeling the logical architecture is an often underestimated development step to gain an early insight into the fundamental functional properties of an automotive system. An architectural description supports developers in making design…

Software Engineering · Computer Science 2014-09-24 Hans Grönninger , Jochen Hartmann , Holger Krahn , Stefan Kriebel , Lutz Rothhart , Bernhard Rumpe

The current ISO standards pertaining to the Concepts of System and Architecture express succinct definitions of these two key terms that lend themselves to practical application and can be understood through elementary mathematical…

Software Engineering · Computer Science 2018-12-06 Michael K. Wilkinson , Charles E. Dickerson , Siyuan Ji

Development and Operations (DevOps), a particular type of Continuous Software Engineering, has become a popular Software System Engineering paradigm. Software architecture is critical in succeeding with DevOps. However, there is little…

Software Engineering · Computer Science 2020-03-16 Mojtaba Shahin , M. Ali Babar

Sustainability is an increasingly-studied topic in software engineering in general, and in software architecture in particular. There are already a number of secondary studies addressing sustainability in software engineering, but no such…

Software Engineering · Computer Science 2022-04-26 Vasilios Andrikopoulos , Rares-Dorian Boza , Carlos Perales , Patricia Lago

Software systems usually operate in a dynamic context where their requirements change continuously and new requirements emerge frequently. A single requirement hardly exists in isolation: it is related to other requirements and to the…

Software Engineering · Computer Science 2016-08-10 Arda Goknil , Ivan Kurtev , Klaas van den Berg

Declarative modeling uses symbolic expressions to represent models. With such expressions one can formalize high-level mathematical computations on models that would be difficult or impossible to perform directly on a lower-level simulation…

Quantitative Methods · Quantitative Biology 2019-07-02 Eric Mjolsness

Application of formal models provides many benefits for the software and system development, however, the learning curve of formal languages could be a critical factor for an industrial project. Thus, a natural language specification that…

Software Engineering · Computer Science 2016-12-07 Phan Vo Thu Nhat , Maria Spichkova

Background: The literature offers various methods for capturing software architectural knowledge (AK), including views, viewpoints, and architecture decision records (ADRs). In parallel, sustainability has gained prominence in software…

Software Engineering · Computer Science 2023-09-22 Haben Birhane Gebreweld

[Spreadsheet] Models are invaluable tools for strategic planning. Models help key decision makers develop a shared conceptual understanding of complex decisions, identify sensitivity factors and test management scenarios. Different…

Human-Computer Interaction · Computer Science 2024-12-31 Paula Jennings

Semantic data and knowledge infrastructures must reconcile two fundamentally different forms of representation: natural language, in which most knowledge is created and communicated, and formal semantic models, which enable…

Computation and Language · Computer Science 2026-03-24 Lars Vogt
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