3,668 research outputs found

    Ten virtues of structured graphs

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    This paper extends the invited talk by the first author about the virtues of structured graphs. The motivation behind the talk and this paper relies on our experience on the development of ADR, a formal approach for the design of styleconformant, reconfigurable software systems. ADR is based on hierarchical graphs with interfaces and it has been conceived in the attempt of reconciling software architectures and process calculi by means of graphical methods. We have tried to write an ADR agnostic paper where we raise some drawbacks of flat, unstructured graphs for the design and analysis of software systems and we argue that hierarchical, structured graphs can alleviate such drawbacks

    Modal logics for reasoning about object-based component composition

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    Component-oriented development of software supports the adaptability and maintainability of large systems, in particular if requirements change over time and parts of a system have to be modified or replaced. The software architecture in such systems can be described by components and their composition. In order to describe larger architectures, the composition concept becomes crucial. We will present a formal framework for component composition for object-based software development. The deployment of modal logics for defining components and component composition will allow us to reason about and prove properties of components and compositions

    A bibliography on formal methods for system specification, design and validation

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    Literature on the specification, design, verification, testing, and evaluation of avionics systems was surveyed, providing 655 citations. Journal papers, conference papers, and technical reports are included. Manual and computer-based methods were employed. Keywords used in the online search are listed

    A Survey of Languages for Specifying Dynamics: A Knowledge Engineering Perspective

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    A number of formal specification languages for knowledge-based systems has been developed. Characteristics for knowledge-based systems are a complex knowledge base and an inference engine which uses this knowledge to solve a given problem. Specification languages for knowledge-based systems have to cover both aspects. They have to provide the means to specify a complex and large amount of knowledge and they have to provide the means to specify the dynamic reasoning behavior of a knowledge-based system. We focus on the second aspect. For this purpose, we survey existing approaches for specifying dynamic behavior in related areas of research. In fact, we have taken approaches for the specification of information systems (Language for Conceptual Modeling and TROLL), approaches for the specification of database updates and logic programming (Transaction Logic and Dynamic Database Logic) and the generic specification framework of abstract state machine

    Object orientation without extending Z

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    The good news of this paper is that without extending Z, we can elegantly specify object-oriented systems, including encapsulation, inheritance and subtype polymorphism (dynamic dispatch). The bad news is that this specification style is rather different to normal Z specifications, more abstract and axiomatic, which means that it is not so well supported by current Z tools such as animators. It also enforces behavioural subtyping, unlike most object-oriented programming languages. This paper explains the proposed style, with examples, and discusses its advantages and disadvantages

    MetTeL: A Generic Tableau Prover.

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    The Layer-Oriented Approach to Declarative Languages for Biological Modeling

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    We present a new approach to modeling languages for computational biology, which we call the layer-oriented approach. The approach stems from the observation that many diverse biological phenomena are described using a small set of mathematical formalisms (e.g. differential equations), while at the same time different domains and subdomains of computational biology require that models are structured according to the accepted terminology and classification of that domain. Our approach uses distinct semantic layers to represent the domain-specific biological concepts and the underlying mathematical formalisms. Additional functionality can be transparently added to the language by adding more layers. This approach is specifically concerned with declarative languages, and throughout the paper we note some of the limitations inherent to declarative approaches. The layer-oriented approach is a way to specify explicitly how high-level biological modeling concepts are mapped to a computational representation, while abstracting away details of particular programming languages and simulation environments. To illustrate this process, we define an example language for describing models of ionic currents, and use a general mathematical notation for semantic transformations to show how to generate model simulation code for various simulation environments. We use the example language to describe a Purkinje neuron model and demonstrate how the layer-oriented approach can be used for solving several practical issues of computational neuroscience model development. We discuss the advantages and limitations of the approach in comparison with other modeling language efforts in the domain of computational biology and outline some principles for extensible, flexible modeling language design. We conclude by describing in detail the semantic transformations defined for our language

    Specifying with syntactic theory functors

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    We propose a framework, syntactic theory functors (STFs), for creating syntactic structuring mechanisms for specification languages. Good support for common reuse patterns is important for systematically developing specifications for large systems. Though immaterial to foundational theory, lack of support otherwise causes lengthy writing of boilerplate code or repeated adaptation from one context to another. We present STFs in the context of the Goguen & Burstall institution theory. This theory captures the essential structure of ontologies, modelling and formal specifications (OMS). In particular it provides powerful structuring mechanisms that are independent of the specification formalism, i.e., they are institution-independent. The presented STF framework is institution-independent as well. As such it encompasses many approaches to software and information systems. STFs subsume the standard institution-independent structuring mechanisms, and open up new ways of reusing existing and structuring new specifications. In this, STFs subsume and enrich the tool-set of ‘good practices’, which includes separation of concerns, ease of reuse of specification-text, and improved theorem proving support. STFs are aimed at structuring and reuse beyond the classical mechanisms. However, most STFs are institution-specific and support specific reuse patterns in that institution. With such institution-specific STFs it is possible to incrementally grow more complex institutions from simpler ones. This is very much needed when developing ontologies or specification languages for a new domain. In this paper, we motivate STFs with examples in Casl, the common standard algebraic specification language. We further demonstrate how STFs can ease specification through capturing repeated constructions once and for all as patterns formulated as STFs
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