http://www.ict-diva.eu/DiVA Compilation of recent results daily 1 2007-03-16T14:56:41Z http://www.ict-diva.eu/DiVA/results/diva-publications/conferencereference.2011-05-02.3773592949 No publisher MarkHefke 2011-05-02T15:53:06Z Conference Reference http://www.ict-diva.eu/DiVA/results/diva-deliverables/techreportreference.2011-04-28.9857043910 Thales and CAS provide two case studies for evaluating and validating the DiVA technology. The Thales case study is called "Crisis Management System for a civil airport" and, beside the base functionality of DiVA technology, mainly focuses on the support of distributed systems. The CAS case study is called "CRM: Service mash-ups in a hosted SaaS CRM application" and, beside the base functionality of DiVA technology, mainly focuses on the support of sessions. In deliverable D6.2, a first description of the case study implementation and evaluation in phase 1 of the DiVA project was given. This deliverable D6.3 has two purposes: The first one is to provide an updated description of the case study implementation and evaluation of the DiVA studio according to what has been extended in phase 2 of the DiVA project. The second one is to provide a detailed validation plan and validation results throughout the case studies. Open Document No publisher MarkHefke 2011-04-29T10:53:42Z Techreport Reference http://www.ict-diva.eu/DiVA/results/diva-deliverables/techreportreference.2011-04-28.5900240926 This document describes the DiVA Studio tool deliverable which is downloadable from http://developer.berlios.de/projects/diva-unix/ . The DiVA Studio is a set of tools and case studies that realize the technology developed to support the DiVA methodology to design and build adaptive systems and integrates cutting edge tools that enable researchers and engineers to plan, design, and implement adaptive systems. The purpose of this studio is to coordinate and produce an integrated framework for adaptive system engineering, covering the different lifecycle phases of an adaptive system (from requirement to runtime). The main part of this deliverable is the Studio itself, which comprise an integrated toolset, execution platform, tutorials and methodology for construction and execution of adaptive systems. Each of the tools, the runtime platform and the methodology are described in detail in separate deliverables. Thus, this document only provides a brief overview of the studio and its components and explains how to install and get started with the studio. The document is structured as follows: After a brief introduction in Section 1, Section 2 describes how to install and get started with the software and the samples. The set of components which comprise the studio are briefly presented in Section 3. Open Document No publisher MarkHefke 2011-04-29T11:13:48Z Techreport Reference http://www.ict-diva.eu/DiVA/results/diva-deliverables/techreportreference.2011-04-28.3547776516 This deliverable describes the Adaptation Reasoning and Validation Framework developed as part of the DiVA tools. The purpose of the framework is to provide services for efficient reasoning and validation throughout the specification, design and deployment of dynamic systems following the DiVA methodology and using the DiVA tools. By providing experimental results the documents helps users of the DiVA tool chain to understand and differentiate the capabilities of the available reasoners and reasoning approaches. The document shows also how a combination of random selection and standard reasoning approaches yields a scalable reasoning. It also illustrates the purpose of validation in the context of DiVA based development. The document is structured as follows: A brief explanation of the underlying DiVA Adaptation Model in chapter 2 is followed by a conceptual introduction in the framework in chapter 3. The following chapter describes the available reasoners and shows the results of experiments conducted with them. The validation concepts are explained in chapter 5. Open Document No publisher MarkHefke 2011-04-29T10:39:33Z Techreport Reference http://www.ict-diva.eu/DiVA/results/diva-deliverables/techreportreference.2011-04-28.7165607422 Many of today’s software systems need to be available 24/7, be highly interactive, and continuously adapt according to varying environment conditions, user characteristics, and characteristics of other systems that interact with them. Such systems, called adaptive systems, are expected to be long-lived and able to undertake adaptations with little or no human intervention. Construction and run time management of such adaptive systems are complex tasks. Non-trivial challenges include provisioning of efficient design time and run time representations, system validation to ensure safe adaptation of interdependent components, and scalable solutions to cope with the possible combinatorial explosions of adaptive system artefacts such as configurations, variant dependencies and adaptation rules. Furthermore, in current approaches the adaptation logic is typically specified at the code level, tightly coupled with the main system functionality, making it hard to control and maintain. The DiVA approach provides a new tool-supported methodology with an integrated framework for specifying and managing dynamic variability in adaptive systems. The approach combines aspect-oriented and model-driven techniques in an innovative way to handle adaptive system complexities. The proposed approach has been implemented and validated through case studies. Open Document No publisher MarkHefke 2011-04-29T09:38:56Z Techreport Reference http://www.ict-diva.eu/DiVA/results/diva-deliverables/techreportreference.2011-04-28.2316857768 Deliverable D7.5 explores and encourages future research issues beyond achieved technical and methodological results within the DiVA project, which nevertheless meet demands of future emerging markets. In this context, two different perspectives have been taken into account, the research perspective and the market-oriented perspective. Regarding the research perspective, we identified future research demands based on Technical Results and Methodologies achieved in the DiVA project, which in turn are based on the two scenarios for possible future applications concerning Dynamic Variability in complex adaptive systems (Crisis Management and Next Generation CRM Solutions, cf. Deliverable 6.1) as well as on SOTA Research background. With respect to the market oriented-perspective, we identified and categorized future research challenges based on (future) market-specific requirements and research challenges. Based on both perspectives, two technology roadmaps have been worked out, providing an expert-based consensus view of the future science and technology landscape that at the same time considers future market needs. Open Document No publisher MarkHefke 2011-04-29T09:34:11Z Techreport Reference http://www.ict-diva.eu/DiVA/results/diva-publications/articlereference.2011-03-08.8120371137 No publisher PhilGreenwood 2011-03-08T16:32:06Z Article Reference http://www.ict-diva.eu/DiVA/results/diva-publications/articlereference.2011-03-08.6881324381 No publisher PhilGreenwood 2011-03-08T16:29:43Z Article Reference http://www.ict-diva.eu/DiVA/results/diva-publications/articlereference.2011-03-08.4480487364 No publisher PhilGreenwood 2011-03-08T16:27:30Z Article Reference http://www.ict-diva.eu/DiVA/results/diva-publications/inproceedingsreference.2010-09-13.3531198163 No publisher NellyBencomo 2010-09-13T16:14:47Z Inproceedings Reference http://www.ict-diva.eu/DiVA/results/diva-publications/conferencereference.2010-09-13.4424994160 Recently, there have been increasing demands for the postponement of decisions on software adaptations and product variations to provide the flexibility required by dynamic environments and users. The goal is that software adaptations and product variations can be chosen even at runtime. As such, a research theme that addresses development issues for reusable and dynamically reconfigurable core assets has emerged and it is called dynamic software product lines (DSPLs) with its consequential need to manage runtime variability. Research on the use of runtime variability, however, is still heavily based on the specification of decisions during design time. That is, a system simply postpones “when to adapt” to runtime but “how to adapt” is already decided at design time. In this paper, we present a brief assessment of the current research in the area and discuss some research issues related to the feasibility of DSPL oriented approaches to build self-adaptive systems. No publisher NellyBencomo 2010-09-13T16:08:49Z Conference Reference http://www.ict-diva.eu/DiVA/results/diva-publications/conferencereference.2010-09-13.2750509660 No publisher NellyBencomo 2010-09-13T15:57:10Z Conference Reference http://www.ict-diva.eu/DiVA/results/diva-publications/inbookreference.2010-09-09.7921295179 This chapter tackles the challenges of variability identification, modelling and implementation for service-based systems. The DiVA methodology is applied to the Mobile Phone Service Portability case-study to demonstrate its solutions to these challenges. The DiVA methodology utilises concepts of Aspect-Oriented Software Development to encapsulate service variants in distinct modules and uses Model- Driven Development techniques to analyse and transform conceptual designs into executable services. The DiVA approach provides a tool-supported methodology for managing dynamic variability in adaptive systems and taming system complexity. No publisher PhilGreenwood 2010-09-09T11:35:38Z Inbook Reference http://www.ict-diva.eu/DiVA/results/diva-deliverables/techreportreference.2010-09-09.9235154836 In the previous DiVA deliverables D1.2 and D1.3 we have presented the DiVA RE framework for identification and modelling of dynamic variability in user requirements and composition of system of systems using these models. In the present deliverable we continue to the refine the DiVA RE framework by: a) developing the previously outlined traceability support into a Framework for Evaluation of Configuration Alternatives and Trade-offs using the simulation results form the design/run time (as defined in the DiVA workplan); b) improving the DiVA RE framework constituents to address the shortcomings revealed as a result of their evaluation. The Evaluation Framework is based on propagating design refinements and model simulation results back to the requirements level to inform and support a scoped configuration evaluation and trade-off analysis from the stakeholder’s perspective. While DiVA RE framework evaluation provides useful input for its evolution. FMP Models: http://www.ict-diva.eu/DiVA/developer-zone/downloads/FMP.zip No publisher PhilGreenwood 2010-09-13T09:37:43Z Techreport Reference http://www.ict-diva.eu/DiVA/results/diva-deliverables/techreportreference.2010-09-08.9091395405 This deliverable presents the final version of the reference architecture to support dynamic variability using model-driven engineering techniques and aspect models. This reference architecture leverages the design-models of WP2, as well as the reasoning techniques of WP4, at runtime. The purpose of this document is to provide an overview of the reference architecture, to detail the important parts of this reference architecture and give some implementation details. This document is associated with a software system, demonstrating the reference architecture, which is integrated into DiVA Studio (WP5). This document (D3.3) is an extension of D3.2. The main changes are: • The reference architecture is now based on OSGi, the former one was based on Fractal. We thus give some implementation details for OSGi (Section 6).. • Integration of the new version of SmartAdapters (weaver). In this new version, aspect models are now compiled into Java code, which makes it possible to weave aspect model at runtime, in an efficient way. We detail the compilation process of SmartAdapters as well as the new features of this weaver (Section 5). • The reference architecture now provides support for distribution and describes the architectural extensions to support distribution as well as co-existence and co-dependency. Furthermore it provides a distributed consistency framework to support distributed aspect configuration and reconfiguration (Section 8). Open Document No publisher BriceMorin 2011-04-29T11:02:32Z Techreport Reference