Patterns Based Engineering
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Patterns-Based Engineering
Successfully delivering Solutions via Patterns In Patterns-Based Engineering, two leading experts bring together true best practices for developing and deploying successful software-intensive systems. Drawing on their extensive enterprise development experience, the authors clearly show how to deliver on the promise of a patterns-based approach—and consistently create higher-quality solutions faster, with fewer resources. Lee Ackerman and Celso Gonzalez demonstrate how Patterns-Based Engineering (PBE) can help you systematically overcome common obstacles to success with patterns. By bringing discipline and clarity to patterns usage, their techniques enable you to replicate your success broadly and scale patterns to even the largest projects. The authors introduce powerful ways to discover, design, create, package, and consume patterns based on your organization’s experience and best practices. They also present extensive coverage of the nontechnical aspects of making patterns work, including a full chapter of guidance on clearing up misconceptions that stand in your way. Coverage includes Using patterns to optimize the entire development lifecycle, including design, coding, testing, and deployment Systematically managing the risks and economic returns associated with patterns Effectively implementing PBE roles, tasks, work products, and tools Integrating PBE with existing development processes, including eXtreme Programming, Scrum, and OpenUP Using Domain Specific Languages (DSLs) with patterns Whether you’re an architect, designer, developer, analyst, project manager, or process engineer, Patterns-Based Engineering will help you to consistently derive greater business value and agility from patterns.
Advances in Pattern-Based Ontology Engineering
Ontologies are the corner stone of data modeling and knowledge representation, and engineering an ontology is a complex task in which domain knowledge, ontological accuracy and computational properties need to be carefully balanced. As with any engineering task, the identification and documentation of common patterns is important, and Ontology Design Patterns (ODPs) provide ontology designers with a strong connection to requirements and a better communication of their semantic content and intent. This book, Advances in Pattern-Based Ontology Engineering, contains 23 extended versions of selected papers presented at the annual Workshop on Ontology Design and Patterns (WOP) between 2017 and 2020. This yearly event, which attracts a large number of researchers and professionals in the field of ontology engineering and ontology design patterns, covers issues related to quality aspects of ontology engineering and ODPs for data and knowledge representation, and is usually co-located with the International Semantic Web Conference (ISWC), apart from WOP 2020, which was held virtually due to the COVID-19 pandemic. Topics covered by the papers collected here focus on recent advances in ontology design and patterns, and range from a method to instantiate content patterns, through a proposal on how to document a content pattern, to a number of patterns emerging in ontology modeling in various situations and applications. The book provides an overview of important advances in ontology engineering and ontology design patterns, and will be of interest to all those working in the field.
Intelligent Technical Systems
Author: Natividad Martínez Madrid
language: en
Publisher: Springer Science & Business Media
Release Date: 2009-02-18
Intelligent technical systems are networked, embedded systems incorporating real-time capacities that are able to interact with and adapt to their environments. These systems need innovative approaches in order to meet requirements like cost, size, power and memory consumption, as well as real-time compliance and security. Intelligent Technical Systems covers different levels like multimedia systems, embedded programming, middleware platforms, sensor networks and autonomous systems and applications for intelligent engineering. Each level is discussed by a set of original articles summarizing the state of the art and presenting a concrete application; they include a deep discussion of their model and explain all design decisions relevant to obtain a mature solution.