Considerations regarding the agile development of portals

Starting with methodologies, methods and techniques used generally in the development of information systems, a personal approach regarding quick development of portals has been introduced. After a strict theoretical foundation the proposal has been applied within a real collaborative knowledge portal development project. We consider the proposed agile development approach (based on the prototype technique enriched with MDA valences) suitable to all kind of information systems. The agile development framework establishes the life-cycle phases of product development taking into account the desired functionalities.portal, prototype technique, model driven architecture, agile development

Developing front-end Web 2.0 technologies to access services, content and things in the future Internet

The future Internet is expected to be composed of a mesh of interoperable web services accessible from all over the web. This approach has not yet caught on since global user?service interaction is still an open issue. This paper states one vision with regard to next-generation front-end Web 2.0 technology that will enable integrated access to services, contents and things in the future Internet. In this paper, we illustrate how front-ends that wrap traditional services and resources can be tailored to the needs of end users, converting end users into prosumers (creators and consumers of service-based applications). To do this, we propose an architecture that end users without programming skills can use to create front-ends, consult catalogues of resources tailored to their needs, easily integrate and coordinate front-ends and create composite applications to orchestrate services in their back-end. The paper includes a case study illustrating that current user-centred web development tools are at a very early stage of evolution. We provide statistical data on how the proposed architecture improves these tools. This paper is based on research conducted by the Service Front End (SFE) Open Alliance initiative

Horizontal Integration of Warfighter Intelligence Data: A Shared Semantic Resource for the Intelligence Community

We describe a strategy that is being used for the horizontal integration of warfighter intelligence data within the framework of the US Army’s Distributed Common Ground System Standard Cloud (DSC) initiative. The strategy rests on the development of a set of ontologies that are being incrementally applied to bring about what we call the ‘semantic enhancement’ of data models used within each intelligence discipline. We show how the strategy can help to overcome familiar tendencies to stovepiping of intelligence data, and describe how it can be applied in an agile fashion to new data resources in ways that address immediate needs of intelligence analysts

Model-Driven Software Development

Model-Driven Software Development (MDSD) is an emerging technology approach that has potential to revolutionize the software industry. MDSD has the ability to both increase software delivery velocity, while at the same time reduce complexity and reuse software assets. Experts in the field believe that the MDSD approach helps to abstract away the growing interdependencies of enterprise software development by use of sophisticated tools, models, and automatic code generation. Through the use of Unified Modeling Language (UML/UML2) and other related technologies, the models are intricate enough to fully represent a system domain and then generate system code to represent that system. The case study evaluates the key factors of velocity, modeling complexity, code generation, and code completeness. Using both Model-Driven Software Development and so-called traditional methods of development, both techniques were applied against a real-world system for First United Methodist Church Children\u27s Ministry. The two techniques were measured and critiqued for their effect on the software development. Future direction of MDSD and potential impacts are presented

Engineering Agile Big-Data Systems

To be effective, data-intensive systems require extensive ongoing customisation to reflect changing user requirements, organisational policies, and the structure and interpretation of the data they hold. Manual customisation is expensive, time-consuming, and error-prone. In large complex systems, the value of the data can be such that exhaustive testing is necessary before any new feature can be added to the existing design. In most cases, the precise details of requirements, policies and data will change during the lifetime of the system, forcing a choice between expensive modification and continued operation with an inefficient design.Engineering Agile Big-Data Systems outlines an approach to dealing with these problems in software and data engineering, describing a methodology for aligning these processes throughout product lifecycles. It discusses tools which can be used to achieve these goals, and, in a number of case studies, shows how the tools and methodology have been used to improve a variety of academic and business systems