AM-OER: An Agile Method for the Development of Open Educational Resources

Open Educational Resources have emerged as important elements of education in the contemporary society, promoting life-long and personalized learning that transcends social, eco- nomic and geographical barriers. To achieve the potential of OERs and bring impact on education, it is necessary to increase their development and supply. However, one of the current challenges is how to produce quality and relevant OERs to be reused and adapted to different contexts and learning situations. In this paper we proposed an agile method for the development of OERs – AM-OER, grounded on agile practices from Software Engineering. Learning Design practices from the OULDI project (UK Open University) are also embedded into the AM-OER aiming at improving quality and facilitating reuse and adaptation of OERs. In order to validate AM-OER, an experiment was conducted by applying it in the development of an OER on software testing. The results showed preliminary evidences on the applicability, effectiveness and ef ciency of the method in the development of OERs

Evaluating Enterprize Delivery Using the TYPUS Metrics and the KILT Mode

The goal of this work is the technical, ecological, environmental and social examination of the life-cycle (LC) of any product (consumable, service, production) using the TYPUS metrics and the KILT model. The life-cycle starts when the idea of a product is born and lasts until complete dismissal through design, implementation and operation, etc. In the first phases requirements’ specification, analysis, several design steps (global plan, detailed design, assembly design, etc.) are followed by part manufacturing, assembly, testing, diagnostics and operation, advertisement, service, maintenance, etc. Then finally disassembly and dismissal are coming, but dismissal can be substituted by re-cycling (e.g. melting the metals) or re-use (used parts applications). Qualitative and quantitative evaluations of enterprise results are supported by the new models and metrics

FESTivE: an information system method to improve product designers and environmental experts information exchanges

Effective collaboration between product designers and environmental experts is an important driver for the ecodesign practice in industry. This paper investigates the principal functions required for such an e ective collaboration and aims at facilitating them. Product designers should be able to integrate the environmental parameters into their activities, and to exchange information dynamically with the environmental expert whenever needed during the design process. Therefore, the IT system should be in itself dynamic and exible to the integration of new concepts (knowledge, software). Recent developments in Model Driven Engineering (MDE) are showing some interesting results to gain exibility and dynamism in the IT system. Combining software interoperability using model federation based on MDE with the speci city of ecodesign practice in industry this paper proposes the FESTivE method for Federate EcodeSign Tool modEls. Experimented in two different industrial contexts the practical feasibility of FESTivE has been validated with practitioners. Results on the e ects of using FESTivE in industry shows that product designers and environmental experts are more equipped to anticipate and to respond to each other's needs at each stage of the design process of product or service

Design Criteria to Architect Continuous Experimentation for Self-Driving Vehicles

The software powering today's vehicles surpasses mechatronics as the dominating engineering challenge due to its fast evolving and innovative nature. In addition, the software and system architecture for upcoming vehicles with automated driving functionality is already processing ~750MB/s - corresponding to over 180 simultaneous 4K-video streams from popular video-on-demand services. Hence, self-driving cars will run so much software to resemble "small data centers on wheels" rather than just transportation vehicles. Continuous Integration, Deployment, and Experimentation have been successfully adopted for software-only products as enabling methodology for feedback-based software development. For example, a popular search engine conducts ~250 experiments each day to improve the software based on its users' behavior. This work investigates design criteria for the software architecture and the corresponding software development and deployment process for complex cyber-physical systems, with the goal of enabling Continuous Experimentation as a way to achieve continuous software evolution. Our research involved reviewing related literature on the topic to extract relevant design requirements. The study is concluded by describing the software development and deployment process and software architecture adopted by our self-driving vehicle laboratory, both based on the extracted criteria.Comment: Copyright 2017 IEEE. Paper submitted and accepted at the 2017 IEEE International Conference on Software Architecture. 8 pages, 2 figures. Published in IEEE Xplore Digital Library, URL: http://ieeexplore.ieee.org/abstract/document/7930218

Rigorously assessing software reliability and safety

This paper summarises the state of the art in the assessment of software reliability and safety ("dependability"), and describes some promising developments. A sound demonstration of very high dependability is still impossible before operation of the software; but research is finding ways to make rigorous assessment increasingly feasible. While refined mathematical techniques cannot take the place of factual knowledge, they can allow the decision-maker to draw more accurate conclusions from the knowledge that is available

CCS Networks for the UK: Benefits, Impacts and Regulation

What benefits might be offered by developing well planned CCS networks? A review of the drivers for and barriers to the coherent development of CCS networks in the UK is used to synthesise a limited set of possible network topologies. The benefits offered by each topology for UK carbon dioxide and other atmospheric emissions are estimated. Other potential benefits are considered qualitatively, and a range of uncertainties identified. The complexity of CCS networks means that addressing these uncertainties is a challenging task, and the need for a whole systems approach is evaluated. Finally, implications for CCS regulation and policy are highlighted