By Anthony Finkelstein (auth.), Haralambos Mouratidis, Colette Rolland (eds.)
This ebook constitutes the refereed court cases of the twenty third overseas convention on complicated info platforms Engineering, CAiSE 2011, held in London, united kingdom, in June 2011.
The forty two revised complete papers and five revised brief papers offered have been conscientiously reviewed and chosen from 320 submissions. In addtion the booklet includes the abstracts of two keynote speeches. The contributions are prepared in topical sections on specifications; variation and evolution; version transformation; conceptual layout; area particular languages; case stories and reviews; mining and matching; company approach modelling; validation and caliber; and repair and management.
Read Online or Download Advanced Information Systems Engineering: 23rd International Conference, CAiSE 2011, London, UK, June 20-24, 2011. Proceedings PDF
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Additional resources for Advanced Information Systems Engineering: 23rd International Conference, CAiSE 2011, London, UK, June 20-24, 2011. Proceedings
Example text
New models in probabilistic information retrieval, British Library Research and Development Report, no. 5587 (1980) 20. : An Object-Oriented Tool for Tracing Requirements. IEEE Software 13(2), 52–64 (1996) 21. : Requirements Engineering und –Management. Hanser (2002) 22. : Controlled Experiments in Software Engineering. uk Abstract. Requirements Elicitation and Fit-Gap Analysis are amongst the most time and effort-consuming tasks in an ERP project. There is a potentially high rate of reuse in ERP projects as solutions are mainly based on standard software components and services.
De/giese/public/selfadapt/front-page Requirements Engineering for SAS: Core Ontology and Problem Statement 35 over requirements, that they are interested in choosing among candidate solutions to the requirements problem, that potentially many candidate solutions exist (as in the case of service-/agent-oriented systems, where different services/agents may compete in offering the same functions), and that requirements are not fixed, but change with new information from the stakeholders or the operational environment.
We formally define a minimal set of concepts and relations needed to formulate the requirements problem, its solutions, the changes in its formulation that arise from changes in the operating context, requirements, and resource availability. We thereby precisely define the runtime requirements adaptation problem that a SAS should be engineered to solve. Keywords: Requirements Self-Adaptive Systems. Engineering, Runtime, Adaptation Problem, 1 Introduction Contemporary software systems, such as service-based mobile applications that are increasingly immersed in users’ everyday life, must continuously adapt their behavior to changes in users’ requirements, operating conditions, and resource availability [5].