Controlling Concurrent Change - A Multiview Approach Toward Updatable Vehicle Automation Systems

The development of SAE Level 3+ vehicles [{SAE}, 2014] poses new challenges not only for the functional development, but also for design and development processes. Such systems consist of a growing number of interconnected functional, as well as hardware and software components, making safety design increasingly difficult. In order to cope with emergent behavior at the vehicle level, thorough systems engineering becomes a key requirement, which enables traceability between different design viewpoints. Ensuring traceability is a key factor towards an efficient validation and verification of such systems. Formal models can in turn assist in keeping track of how the different viewpoints relate to each other and how the interplay of components affects the overall system behavior. Based on experience from the project Controlling Concurrent Change, this paper presents an approach towards model-based integration and verification of a cause effect chain for a component-based vehicle automation system. It reasons on a cross-layer model of the resulting system, which covers necessary aspects of a design in individual architectural views, e.g. safety and timing. In the synthesis stage of integration, our approach is capable of inserting enforcement mechanisms into the design to ensure adherence to the model. We present a use case description for an environment perception system, starting with a functional architecture, which is the basis for componentization of the cause effect chain. By tying the vehicle architecture to the cross-layer integration model, we are able to map the reasoning done during verification to vehicle behavior

What\u27s So Different about Developing Web Based Information Systems?

This paper considers the suitability of traditional IS development methods to Web-based information systems. A two year e-commerce development project is used to explore Web-based IS development using action research. To distinguish the project from consultancy a framework of ideas – Multiview - is declared and tested in the research process. Multiview was defined in 1985 and has been since refined to become an influential approach to information systems development. It has soft and hard aspects and, as a contingency approach, is not prescriptive but adapted to the particular situation in the organization and the application. The differences and similarities of traditional IS development projects and Web-based projects are reported and found to be more about concrete differences of methodology content than abstract concepts. The project also provided an opportunity to reflect more generally about the role of methodology in IS development

ImageJ2: ImageJ for the next generation of scientific image data

ImageJ is an image analysis program extensively used in the biological sciences and beyond. Due to its ease of use, recordable macro language, and extensible plug-in architecture, ImageJ enjoys contributions from non-programmers, amateur programmers, and professional developers alike. Enabling such a diversity of contributors has resulted in a large community that spans the biological and physical sciences. However, a rapidly growing user base, diverging plugin suites, and technical limitations have revealed a clear need for a concerted software engineering effort to support emerging imaging paradigms, to ensure the software's ability to handle the requirements of modern science. Due to these new and emerging challenges in scientific imaging, ImageJ is at a critical development crossroads. We present ImageJ2, a total redesign of ImageJ offering a host of new functionality. It separates concerns, fully decoupling the data model from the user interface. It emphasizes integration with external applications to maximize interoperability. Its robust new plugin framework allows everything from image formats, to scripting languages, to visualization to be extended by the community. The redesigned data model supports arbitrarily large, N-dimensional datasets, which are increasingly common in modern image acquisition. Despite the scope of these changes, backwards compatibility is maintained such that this new functionality can be seamlessly integrated with the classic ImageJ interface, allowing users and developers to migrate to these new methods at their own pace. ImageJ2 provides a framework engineered for flexibility, intended to support these requirements as well as accommodate future needs

Generating collaborative systems for digital libraries: A model-driven approach

This is an open access article shared under a Creative Commons Attribution 3.0 Licence (http://creativecommons.org/licenses/by/3.0/). Copyright @ 2010 The Authors.The design and development of a digital library involves different stakeholders, such as: information architects, librarians, and domain experts, who need to agree on a common language to describe, discuss, and negotiate the services the library has to offer. To this end, high-level, language-neutral models have to be devised. Metamodeling techniques favor the definition of domainspecific visual languages through which stakeholders can share their views and directly manipulate representations of the domain entities. This paper describes CRADLE (Cooperative-Relational Approach to Digital Library Environments), a metamodel-based framework and visual language for the definition of notions and services related to the development of digital libraries. A collection of tools allows the automatic generation of several services, defined with the CRADLE visual language, and of the graphical user interfaces providing access to them for the final user. The effectiveness of the approach is illustrated by presenting digital libraries generated with CRADLE, while the CRADLE environment has been evaluated by using the cognitive dimensions framework

A REVIEW OF PROBLEMS AND CHALLENGES OF USING MULTIPLE CONCEPTUAL MODELS

Conceptual models are used to visualise, envisage, and communicate the requirements, structure, and behaviour of a system. Particularly, during design and analysis phases, a model can serve as a tool to recognise different components, elements, actors, and relationships involved in a system. However, as a domain becomes complex, multiple models are needed to capture different aspects of a system. Further, each conceptual model develops using different grammars, methods, and tools. Therefore, using multiple models to represent a complex system may result in several problems, and challenges. This research aims to identify, analyse, and classify the different problems and issues encountered when using multiple models during information systems analysis and design through a structured literature review. Several problems are identified and are classified into seven main categories based on their common characteristics. The results of this study may serve as a baseline information for researchers in further understand-ing different modelling approaches and how multiple models can be used in harmony and reduce risks and issues. Also, the list of problems gathered will give insights to professionals on which issues they may possibly encounter when inter-relating various models

Aligning Global and Local Aspects of A National Information Programme for Health: Developing a Critical and Socio-Technical Appreciation

Written by a full-time clinician, this thesis explores an example of ‘Big IT’ in healthcare, the National Programme for IT in the United Kingdom National Health Service. It is unique in exploring the interaction between people and information technology in the healthcare workplace, from an engaged standpoint within one of the National Programme’s implementation sites, in order to provide a critical and a socio-technical appreciation

PlaceRaider: Virtual Theft in Physical Spaces with Smartphones

As smartphones become more pervasive, they are increasingly targeted by malware. At the same time, each new generation of smartphone features increasingly powerful onboard sensor suites. A new strain of sensor malware has been developing that leverages these sensors to steal information from the physical environment (e.g., researchers have recently demonstrated how malware can listen for spoken credit card numbers through the microphone, or feel keystroke vibrations using the accelerometer). Yet the possibilities of what malware can see through a camera have been understudied. This paper introduces a novel visual malware called PlaceRaider, which allows remote attackers to engage in remote reconnaissance and what we call virtual theft. Through completely opportunistic use of the camera on the phone and other sensors, PlaceRaider constructs rich, three dimensional models of indoor environments. Remote burglars can thus download the physical space, study the environment carefully, and steal virtual objects from the environment (such as financial documents, information on computer monitors, and personally identifiable information). Through two human subject studies we demonstrate the effectiveness of using mobile devices as powerful surveillance and virtual theft platforms, and we suggest several possible defenses against visual malware