1,235 research outputs found
A model introducing SOAs quality attributes decomposition
International audienceRecently, service oriented architecture (SOA) has been popularized with the emergence of standards like Web services. Nevertheless, the shift to this architectural paradigm could potentially involve significant risks including projects abandonments. With this in mind, the question of evaluating SOA quality arose. The appearance of methods like ATAM or SAAM propelled software architecture evaluation to a standard stage for any paradigm. However, there still are a number of concerns that have been raised with these methods; in particular their cost in terms of time and money, essentially because of the hand-operated nature of the evaluations conducted. The model proposed in this paper for evaluating SOAs takes as a starting point the McCall model; it allows the whole architecture to be decomposed in three types of quality attributes (factor, criterion and metric
SOAQE - Service Oriented Architecture Quality Evaluation
International audienceThis paper presents a semi-automated method for evaluating SOAs called SOAQE, correcting defects observed so far with existing methods such as lacks of pertinence and accuracy for evaluation results. SOAQE takes as a starting point the McCall model, describing software quality, which led to an international standard for the evaluation of software quality (ISO/IEC 9126-1, 2001). This model is organized around three types of quality attributes (factors, criteria and metrics). The SOAQE method consists in decomposing the whole architecture and evaluating it according to the McCall model, i.e.a list of quality factors arising from business needs grouping criteria composed by metrics. Our experimentations led us to quantify numerically a first determining factor for SOAs, the 'dynamism' and some attributes of its structure: namely the 'loose coupling' criterion and its constituent metrics ('physical, semantic and syntactic')
Introduction to Microservice API Patterns (MAP)
The Microservice API Patterns (MAP) language and supporting website premiered under this name at Microservices 2019. MAP distills proven, platform- and technology-independent solutions to recurring (micro-)service design and interface specification problems such as finding well-fitting service granularities, rightsizing message representations, and managing the evolution of APIs and their implementations. In this paper, we motivate the need for such a pattern language, outline the language organization and present two exemplary patterns describing alternative options for representing nested data. We also identify future research and development directions
Photonic Neural Networks and Optics-informed Deep Learning Fundamentals
The recent explosive compute growth, mainly fueled by the boost of AI and
DNNs, is currently instigating the demand for a novel computing paradigm that
can overcome the insurmountable barriers imposed by conventional electronic
computing architectures. PNNs implemented on silicon integration platforms
stand out as a promising candidate to endow NN hardware, offering the potential
for energy efficient and ultra-fast computations through the utilization of the
unique primitives of photonics i.e. energy efficiency, THz bandwidth and
low-latency. Thus far, several demonstrations have revealed the huge potential
of PNNs in performing both linear and non-linear NN operations at unparalleled
speed and energy consumption metrics. Transforming this potential into a
tangible reality for DL applications requires, however, a deep understanding of
the basic PNN principles, requirements and challenges across all constituent
architectural, technological and training aspects. In this tutorial, we,
initially, review the principles of DNNs along with their fundamental building
blocks, analyzing also the key mathematical operations needed for their
computation in a photonic hardware. Then, we investigate, through an intuitive
mathematical analysis, the interdependence of bit precision and energy
efficiency in analog photonic circuitry, discussing the opportunities and
challenges of PNNs. Followingly, a performance overview of PNN architectures,
weight technologies and activation functions is presented, summarizing their
impact in speed, scalability and power consumption. Finally, we provide an
holistic overview of the optics-informed NN training framework that
incorporates the physical properties of photonic building blocks into the
training process in order to improve the NN classification accuracy and
effectively elevate neuromorphic photonic hardware into high-performance DL
computational settings
Scientific Paper Classification Based on Graph Neural Network with Hypergraph Self-attention Mechanism
The number of scientific papers has increased rapidly in recent years. How to
make good use of scientific papers for research is very important. Through the
high-quality classification of scientific papers, researchers can quickly find
the resource content they need from the massive scientific resources. The
classification of scientific papers will effectively help researchers filter
redundant information, obtain search results quickly and accurately, and
improve the search quality, which is necessary for scientific resource
management. This paper proposed a science-technique paper classification method
based on hypergraph neural network(SPHNN). In the heterogeneous information
network of scientific papers, the repeated high-order subgraphs are modeled as
hyperedges composed of multiple related nodes. Then the whole heterogeneous
information network is transformed into a hypergraph composed of different
hyperedges. The graph convolution operation is carried out on the hypergraph
structure, and the hyperedges self-attention mechanism is introduced to
aggregate different types of nodes in the hypergraph, so that the final node
representation can effectively maintain high-order nearest neighbor
relationships and complex semantic information. Finally, by comparing with
other methods, we proved that the model proposed in this paper has improved its
performance
An architectural approach with separation of concerns to address extra-functional requirements in the development of embedded real-time software systems
AbstractA large proportion of the requirements on embedded real-time systems stems from the extra-functional dimensions of time and space determinism, dependability, safety and security, and it is addressed at the software level. The adoption of a sound software architecture provides crucial aid in conveniently apportioning the relevant development concerns. This paper takes a software-centered interpretation of the ISO 42010 notion of architecture, enhancing it with a component model that attributes separate concerns to distinct design views. The component boundary becomes the border between functional and extra-functional concerns. The latter are treated as decorations placed on the outside of components, satisfied by implementation artifacts separate from and composable with the implementation of the component internals. The approach was evaluated by industrial users from several domains, with remarkably positive results
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Towards an aspect weaving BPEL engine
This position paper proposes the use of dynamic aspects and
the visitor design pattern to obtain a highly configurable and
extensible BPEL engine. Using these two techniques, the
core of this infrastructural software can be customised to
meet new requirements and add features such as debugging,
execution monitoring, or changing to another Web Service
selection policy. Additionally, it can easily be extended to
cope with customer-specific BPEL extensions. We propose
the use of dynamic aspects not only on the engine itself
but also on the workflow in order to tackle the problems of
Web Service hot deployment and hot fixes to long running
processes. In this way, composing aWeb Service "on-the-fly"
means weaving its choreography interface into the workflow
Engineering framework for service-oriented automation systems
Tese de doutoramento. Engenharia Informática. Universidade do Porto. Faculdade de Engenharia. 201
A platform-independent domain-specific modeling language for multiagent systems
Associated with the increasing acceptance of agent-based computing as a novel software engineering paradigm, recently a lot of research addresses the development of suitable techniques to support the agent-oriented software development. The state-of-the-art in agent-based software development is to (i) design the agent systems basing on an agent-based methodology and (ii) take the resulting design artifact as a base to manually implement the agent system using existing agent-oriented programming languages or general purpose languages like Java. Apart from failures made when manually transform an abstract specification into a concrete implementation, the gap between design and implementation may also result in the divergence of design and implementation. The framework discussed in this dissertation presents a platform-independent domain-specific modeling language for MASs called Dsml4MAS that allows modeling agent systems in a platform-independent and graphical manner. Apart from the abstract design, Dsml4MAS also allows to automatically (i) check the generated design artifacts against a formal semantic specification to guarantee the well-formedness of the design and (ii) translate the abstract specification into a concrete implementation. Taking both together, Dsml4MAS ensures that for any well-formed design, an associated implementation will be generated closing the gap between design and code.Aufgrund wachsender Akzeptanz von Agentensystemen zur Behandlung komplexer Problemstellungen wird der Schwerpunkt auf dem Gebiet der agentenorientierten Softwareentwicklung vor allem auf die Erforschung von geeignetem Entwicklungswerkzeugen gesetzt. Stand der Forschung ist es dabei das Agentendesign mittels einer Agentenmethodologie zu spezifizieren und die resultierenden Artefakte als Grundlage zur manuellen Programmierung zu verwenden. Fehler, die bei dieser manuellen Überführung entstehen, machen insbesondere das abstrakte Design weniger nützlich in Hinsicht auf die Nachhaltigkeit der entwickelten Softwareapplikation. Das in dieser Dissertation diskutierte Rahmenwerk erörtert eine plattformunabhängige domänenspezifische Modellierungssprache für Multiagentensysteme namens Dsml4MAS. Dsml4MAS erlaubt es Agentensysteme auf eine plattformunabhängige und graphische Art und Weise darzustellen. Die Modellierungssprache umfasst (i) eine abstrakte Syntax, die das Vokabular der Sprache definiert, (ii) eine konkrete Syntax, die die graphische Darstellung spezifiziert sowie (iii) eine formale Semantik, die dem Vokabular eine präzise Bedeutung gibt. Dsml4MAS ist Bestandteil einer (semi-automatischen) Methodologie, die es (i) erlaubt die abstrakte Spezifikation schrittweise bis hin zur konkreten Implementierung zu konkretisieren und (ii) die Interoperabilität zu alternativen Softwareparadigmen wie z.B. Dienstorientierte Architekturen zu gewährleisten
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