There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality.

Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

I and i

Aspect] is a simple and practical aspect-oriented extension to Java With just a few new constructs, AspectJ provides support for modular implementation of a range of crosscutting concerns. In AspectJ's dynamic join point model, join points are well-defined points in the execution of the program; pointcuts are collections of join points; advice are special method-like constructs that can be attached to pointcuts; and aspects are modular units of crosscutting implementation, comprising pointcuts, advice, and ordinary Java member declarations. AspectJ code is compiled into standard Java bytecode. Simple extensions to existing Java development environments make it possible to browse the crosscutting structure of aspects in the same kind of way as one browses the inheritance structure of classes. Several examples show that AspectJ is powerful, and that programs written using it are easy to understand.

An overview of AspectJ

[서평]「The Unified Modeling Language User Guide」

The Object Management Group's (OMG) Model Driven Architecture (MDA) strategy envisages a world where models play a more direct role in software production, being amenable to manipulation and transformation by machine. Model Driven Engineering (MDE) is wider in scope than MDA. MDE combines process and analysis with architecture. This article sets out a framework for model driven engineering, which can be used as a point of reference for activity in this area. It proposes an organisation of the modelling 'space' and how to locate models in that space. It discusses different kinds of mappings between models. It explains why process and architecture are tightly connected. It discusses the importance and nature of tools. It identifies the need for defining families of languages and transformations, and for developing techniques for generating/configuring tools from such definitions. It concludes with a call to align metamodelling with formal language engineering techniques.

Model Driven Engineering

[서평]「Component Software」 - Beyond Object-Oriented Programming -

Nowadays, Wireless Sensor Networks (WSN) are a very promising research field since they find application in many different areas. Current proposals for WSN system development are mainly focused on implementation issues and they rarely rely on a Software Engineering methodology which supports their entire development life-cycle. The Model-Driven Engineering (MDE) approach can contribute to solve this problem by allowing designers to model their systems at different abstraction levels, providing them with automatic model transformations to incrementally refine abstract models into more concrete ones. In this vein, this paper presents a MDE approach to WSN application development. Three levels of abstraction have been defined which allow designers to build: (1) domain-specific models, (2) component-based architecture descriptions, and (3) platform-specific models. Automatic model transformations between these three abstraction levels have been designed and, in order to demonstrate the viability of the proposal, a real WSN application has been developed using the implemented tools.

/pdf/wireless-sensor-network-application-development-an-1mer7aiuz8.pdf

Wireless sensor network application development: an architecture-centric MDE approach

This article relates our experiences over the last 15 years in the development of robotic applications within the field of service robotics, using the techniques proposed by software engineering. The process began with domain engineering and reference architectures, moved on to component-oriented development, and currently centered on model-driven design. One of the key problems in software development for robotic systems is that the possibilities of reusing software in new applications are frequently limited. This means that we are forced over and over to solve the same problems starting practically from zero every time. The possible causes of this include the following: 1) robotics specialists normally concentrate more on developing algorithms and the way to solve concrete problems than on organizing the software; 2) lack of good standards for the development of robotic software and implementations of these standards; 3) the case studies conducted to demonstrate the viability of software engineering techniques traditionally deal with information management systems; and 4) the robotics community see software engineering not as a solution but as another problem that adds complexity to already complex problems. This research has helped to demonstrate the viability of using software engineering techniques in real industrial applications, albeit using academic tools that cannot readily be accepted by industry.

Design of service robots

With improving technology and the growing perception of the need to keep human workers away from high radiation areas, more competitive robotic systems are increasingly becoming available. This article describes our ten years of experience in developing telerobotic systems for maintenance operations in the Spanish nuclear industry. It also describes a teleoperation platform that can be used with standard robots or with specially designed service robots. The modular architecture of this teleoperation platform has allowed the reuse of software components designed for very different applications and drastically reduce development lead time.

Robots in radioactive environments

The appearance of model-driven engineering (MDE) has invigorated research on domain-specific languages (DSLs) and automatic code generation. MDE uses models to build software, thereby displacing source code as the development process's main feature. DSLs provide easy, intuitive descriptions of the system using graphic models. In this new context, DSLs facilitate work in the first design stages. In addition, MDE helps reduce DSL development costs. It therefore represents a synergistic union that can significantly improve software development.

/pdf/habitation-a-domain-specific-language-for-home-automation-4s7x10h863.pdf

Habitation: A Domain-Specific Language for Home Automation

Wireless sensor networks (WSNs) represent one of the most promising technologies for precision farming. Over the next few years, a significant increase in the use of such systems on commercial farms is expected. WSNs present a number of problems, regarding scalability, interoperability, communications, connectivity with databases and data processing. Different Internet of Things middleware is appearing to overcome these challenges. This paper checks whether one of these middleware, FIWARE, is suitable for the development of agricultural applications. To the authors' knowledge, there are no works that show how to use FIWARE in precision agriculture and study its appropriateness, its scalability and its efficiency for this kind of applications. To do this, a testbed has been designed and implemented to simulate different deployments and load conditions. The testbed is a typical FIWARE application, complete, yet simple and comprehensible enough to show the main features and components of FIWARE, as well as the complexity of using this technology. Although the testbed has been deployed in a laboratory environment, its design is based on the analysis of an Internet of Things use case scenario in the domain of precision agriculture.

https://www.mdpi.com/1424-8220/16/11/1979/pdf

Bárbara Álvarez

Papers

Wireless sensor network application development: an architecture-centric MDE approach

Design of service robots

Robots in radioactive environments

Habitation: A Domain-Specific Language for Home Automation

A Testbed to Evaluate the FIWARE-Based IoT Platform in the Domain of Precision Agriculture