Towards a requirements modeling language for self-adaptive systems

Nauman A. Qureshi, Ivan J. Jureta, Anna Perini

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[Context and motivation] Self-adaptive systems (SAS) monitor and adapt to changing end-user requirements, operating context conditions, and resource availability. Specifying requirements for such dynamic systems is not trivial. Most of the research on self-adaptive systems (SAS) focuses on finding solutions to the requirements that SAS is built for. However, elicitation and representation of requirements for SAS has received less attention at early stages of requirements engineering (RE). [Question/problem] How to represent requirements for SAS in a way which can be read by non-engineering stakeholders? [Principal ideas/results] A requirements modeling language with a diagrammatic syntax to be used to elicit and represent requirements for SAS and perform analysis based on our recently proposed core ontology to perform RE for SAS. [Contribution] A modeling language, called Adaptive RML, for the representation of early requirements for Self-adaptive systems (SAS). The language has graphical primitives in line with classical goal modeling languages and is formalized via a mapping to Techne. Early validation is performed by modeling the same case study in an established goal modeling language and in Adaptive RML. The results suggest that context and resource concepts, as well as relegation and influence relations should be part of graphical modeling languages used to make early requirements models for SAS and to perform analysis over them.

langue originaleAnglais
titreRequirements Engineering
Sous-titreFoundation for Software Quality - 18th International Working Conference, REFSQ 2012, Proceedings
Nombre de pages17
Les DOIs
Etat de la publicationPublié - 21 mars 2012
Evénement18th Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2012 - Essen, Allemagne
Durée: 19 mars 201222 mars 2012

Série de publications

NomLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7195 LNCS
ISSN (imprimé)0302-9743
ISSN (Electronique)1611-3349

Une conférence

Une conférence18th Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2012
La villeEssen

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