Requirements Engineering for Self-Adaptive Systems: Core Ontology and Problem Statement

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

doi:10.1007/978-3-642-21640-4_5

Cited by 23 publications

(12 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Qureshi et al [28] proposed a new version of the Core Ontology for Requirement Engineering (CORE) [17,19], introducing two new concepts (context and resource) and relations (relegation and influence) on top of CORE (an ontology concerning Requirements Engineering in general) in order to properly represent possible changes that might occur in requirements, at runtime. The authors claim that combining the new elements with the ones that are originally used by the goal modeling language Techne [18], they are able to support the definition of the runtime requirements adaptation problem.…”

Section: Related Workmentioning

confidence: 99%

“…Soares et al [32] propose a core ontology to assist requirements elicitation and specification for adaptive systems, based on the ontology of Qureshi et al [28] -which they deemed incomplete -, completing it with concepts extracted from the modeling dimensions for adaptive systems [1]. Besides inheriting the aforementioned problems of [28], the ontology of Soares et al is not properly based on a foundational ontology, is presented only in its operational form (in OWL) and includes concepts pertaining to the area of context-aware systems (claiming they subsume adaptive systems, a claim which we find debatable). On the other hand, RASO is a reference ontology, founded on UFO and focused exclusively on the concepts of the adaptive systems domain.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

RASO: an Ontology on Requirements for the Development of Adaptive Systems

Peçanha¹,

Duarte²,

Souza³

2018

Anais Do WER18 - Workshop Em Engenharia De Requisitos

View full text Add to dashboard Cite

There is growing interest in software that can adapt their behavior to deal with deviations between their outcome and their requirements at runtime. A systematic mapping of the literature on selfadaptation approaches based on requirements models revealed over 200 papers on this subject. However, there is still a lack of a formal and explicit representation of the concepts in this domain, which can lead to problems in communication, learning, problem-solving, interoperability, etc. To make a clear and precise description of this domain, this paper proposes RASO: the Requirements for Adaptive Systems Ontology. RASO was built using a well-established Ontology Engineering method, is grounded on a foundational ontology and reuses concepts from other software-related ontologies. The ontology was evaluated by mapping constructs from the most referenced approaches from the literature to its concepts, thus creating a path for interoperability among them.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

RASO: an Ontology on Requirements for the Development of Adaptive Systems

Peçanha¹,

Duarte²,

Souza³

2018

Anais Do WER18 - Workshop Em Engenharia De Requisitos

View full text Add to dashboard Cite

show abstract

“…Another example is a smart information system for airports [15]. A cause of adaptation occurs when a flight delays.…”

Section: Knownmentioning

confidence: 99%

The Four Types of Self-adaptive Systems: A Metamodel

Sabatucci¹,

Seidita

Cossentino³

2017

Intelligent Interactive Multimedia Systems and Services 2017

View full text Add to dashboard Cite

The Smart Innovation, Systems and Technologies book series encompasses the topics of knowledge, intelligence, innovation and sustainability. The aim of the series is to make available a platform for the publication of books on all aspects of single and multidisciplinary research on these themes in order to make the latest results available in a readily-accessible form. Volumes on interdisciplinary research combining two or more of these areas is particularly sought. The series covers systems and paradigms that employ knowledge and intelligence in a broad sense. Its scope is systems having embedded knowledge and intelligence, which may be applied to the solution of world problems in industry, the environment and the community. It also focusses on the knowledge-transfer methodologies and innovation strategies employed to make this happen effectively. The combination of intelligent systems tools and a broad range of applications introduces a need for a synergy of disciplines from science, technology, business and the humanities. The series will include conference proceedings, edited collections, monographs, handbooks, reference books, and other relevant types of book in areas of science and technology where smart systems and technologies can offer innovative solutions. High quality content is an essential feature for all book proposals accepted for the series. It is expected that editors of all accepted volumes will ensure that contributions are subjected to an appropriate level of reviewing process and adhere to KES quality principles.

show abstract

“…Requirement modeling and representation is more rigorously studied in the software engineering domain, and several models and methods for structured and formal representation of requirements have been proposed and implemented (Schatz et al, 2005; Kossmann et al, 2008; Jureta et al, 2009; Mir et al, 2011; Qureshi et al, 2011). The main objective of requirement engineering in the software development domain is to materialize the vision for self-adaptive systems, the systems that can continuously adapt their behavior at runtime in response to changing user's requirements, operating contexts, and resource availability.…”

Section: Related Workmentioning

confidence: 99%

An ontological approach to engineering requirement representation and analysis

Mukhopadhyay

Ameri

2016

AIEDAM

View full text Add to dashboard Cite

Requirement planning is one of the most critical tasks in the product development process. Despite its significant impact on the outcomes of the design process, engineering requirement planning is often conducted in an ad hoc manner without much structure. In particular, the requirement planning phase suffers from a lack of quantifiable measures for evaluating the quality of the generated requirements and also a lack of structure and formality in representing engineering requirements. The main objective of this research is to develop a formal Web Ontology Language ontology for standard representation of engineering requirements. The proposed ontology uses explicit semantics that makes the ontology amenable to automated reasoning. To demonstrate how the proposed ontology can support requirement analysis and evaluation in engineering design, three possible services enabled by the ontology are introduced in this paper. These services are information content measurement, specificity and completeness analysis, and requirement classification. The proposed ontology and its associated algorithms and tools are validated experimentally in this work.

show abstract

Requirements Engineering for Self-Adaptive Systems: Core Ontology and Problem Statement

Cited by 23 publications

References 21 publications

RASO: an Ontology on Requirements for the Development of Adaptive Systems

RASO: an Ontology on Requirements for the Development of Adaptive Systems

The Four Types of Self-adaptive Systems: A Metamodel

An ontological approach to engineering requirement representation and analysis

Contact Info

Product

Resources

About