Applications of Ontologies in Collaborative Software Development

Happel, Hans-Jörg; Maalej, Walid; Seedorf, Stefan

doi:10.1007/978-3-642-10294-3_6

Cited by 89 publications

(104 citation statements)

References 22 publications

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“…4 for collaborative software development (CSD) [13]. The advantage of annotating data from CSD environments with the help of such an ontology is embodied in the ability to share data across platforms.…”

Section: Ontology For Collaborative Software Developmentmentioning

confidence: 99%

“…We propose an ontology to represent the different actors and activities that are involved in collaborative software development environments. The objective of using semantic web languages is to annotate the user-generated data to enable a better understanding and sharing of knowledge [13], as well as the ability to reason about the data. Concept lattices are data structures that reveal the hidden relationships between the different entities of the contained data.…”

Section: Introductionmentioning

confidence: 99%

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Highlighting Stakeholder Communities to Support Requirements Decision-Making

Azmeh

Mirbel

Crescenzo

2013

Requirements Engineering: Foundation for Software Quality

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Abstract. [Context & motivation] Stakeholders participation is recognized as a key issue in the development of useful and usable systems. The Web has given rise to a growing number of collaborative working tools that facilitated the participation of stakeholders (and especially end-users). These tools create new opportunities of practice regarding requirement elicitation. [Question/problem] Nevertheless, they result in an information overload lacking structure and semantics. Consequently, requirements analysis and selection becomes more challenging.[Principal ideas/results] In this paper, we propose an approach based on semantic web languages as well as concept lattices to identify relevant groups of stakeholders depending on their past participation.[Contribution] These groups can be used to enable facilitated decision-making and handling of requirements. We detail the different steps and the possible configurations, using an example inspired by a collaborative software development environment.

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Section: Ontology For Collaborative Software Developmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Highlighting Stakeholder Communities to Support Requirements Decision-Making

Azmeh

Mirbel

Crescenzo

2013

Requirements Engineering: Foundation for Software Quality

View full text Add to dashboard Cite

show abstract

“…In this sense, the emerging field of semantic web technologies provides a new stimulus for Software Engineering research [11]. [12] shows how changes to metadata can be recorded and tracked and propose how they may be used to proactively notify developers of changing requirements and quality measurements that may impact maintenance.…”

Section: Related Workmentioning

confidence: 99%

Semantic wiki for quality management in software development projects

et al. 2010

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Abstract.Quality Management has become a strategic issue for organisations and very valuable to produce quality software. However, Quality Management Systems (QMS) are not easy to implement and maintain. Our experience shows the benefits of developing a QMS by first formalising it using Semantic Web ontologies and then putting them into practice through a semantic wiki. The QMS ontology that has been developed captures the core concepts of a traditional QMS and combines them with concepts coming from the MPIu+a development process model, which is geared towards obtaining usable and accessible software products. Then, the ontology semantics is directly put into play by a semantics-aware tool, the Semantic MediaWiki. The developed QMS tool has been running for two years at the GRIHO research group, where it has been used to manage almost 50 software development projects taking into account quality management issues. It has been also externally audited by a quality certification organisation. Its users are very satisfied with their daily work with the tool, which manages all the documents created during project development and also allows them to collaborate thanks to wiki features.

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“…There has been ample research [13] on the use of ontologies for supporting typical software engineering processes like systems integration. Ontology-Driven Ar-chitecture (ODA) is introduced, serving as a starting point for the W3C to elaborate a systematic categorization of the different approaches for using ontologies in Software Engineering.…”

Section: Ontologies For Semantic Integrationmentioning

confidence: 99%

Efficient Integration of Complex Information Systems in the ATM Domain with Explicit Expert Knowledge Models

Moser

Mordinyi

Mikula

et al. 2010

Complex Intelligent Systems and Their Applications

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Abstract. The capability to provide a platform for flexible business services in the Air Traffic Management (ATM) domain is both a major success factor for the ATM industry and a challenge to integrate a large number of complex and heterogeneous information systems. Most of the system knowledge needed for integration is not available explicitly in machine-understandable form, resulting in timeconsuming and error-prone human integration tasks. In this chapter we introduce and evaluate a knowledge-based approach, "Semantically-Enabled Externalization of Knowledge" for the ATM domain (SEEK-ATM), which explicitly models a) expert knowledge on specific heterogeneous systems and integration requirements; and b) allows mapping of the specific knowledge to the general ATM problem domain knowledge for semantic integration. The domain-specific modeling enables a) to verify the integration knowledge base as requirements specification for later design of technical systems integration and b) to provide an application program interface (API) to the problem space knowledge to facilitate tool support for efficient and effective systems integration. Based on an industry case study, we evaluate effects of the proposed SEEK-ATM approach in comparison to traditional system integration approaches in the ATM domain. Major advantages of the novel approach are the efficient derivation of technical configurations and automated quality assurance of the expert knowledge models.

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Applications of Ontologies in Collaborative Software Development

Cited by 89 publications

References 22 publications

Highlighting Stakeholder Communities to Support Requirements Decision-Making

Highlighting Stakeholder Communities to Support Requirements Decision-Making

Semantic wiki for quality management in software development projects

Efficient Integration of Complex Information Systems in the ATM Domain with Explicit Expert Knowledge Models

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