A Knowledge Engineering Approach to UML Modeling (S)

Wei, Bingyang; Sun, Jing; Yi, Wang

doi:10.18293/seke2018-114

Cited by 4 publications

(5 citation statements)

References 9 publications

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“…One-hundred eighty-seven records were found through a database search. Twenty-seven studies were investigated after the removal of duplicate documents This systematic review indicates that the formal ontology brings substantial added value to the validation of UML-based models [57][58][59][60]. UML provides graphical elements for modelling static and dynamic aspects of a system.…”

Section: Discussionmentioning

confidence: 99%

“…Wei, Sun, and Wang [59] focus on a similar problem, but they use the OWL ontology for the formal representation of UML class diagrams, UML sequence diagrams and UML state machine diagrams. They verify whether these diagrams are consistent and complete.…”

Section: Involvement Of Semantics Into the Uml-based Modellingmentioning

confidence: 99%

“…Figure 3 provides an overview of the SDLC phases to which formal ontologies can contribute. This systematic review indicates that the formal ontology brings substantial added value to the validation of UML-based models [57][58][59][60]. UML provides graphical elements for modelling static and dynamic aspects of a system.…”

Section: Contribution Of Ontologies In Information Systems Development and Future Directionsmentioning

confidence: 99%

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Formal Ontologies in Information Systems Development: A Systematic Review

Husáková

Bureš

2020

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Computational ontologies are machine-processable structures which represent particular domains of interest. They integrate knowledge which can be used by humans or machines for decision making and problem solving. The main aim of this systematic review is to investigate the role of formal ontologies in information systems development, i.e., how these graphs-based structures can be beneficial during the analysis and design of the information systems. Specific online databases were used to identify studies focused on the interconnections between ontologies and systems engineering. One-hundred eighty-seven studies were found during the first phase of the investigation. Twenty-seven studies were examined after the elimination of duplicate and irrelevant documents. Mind mapping was substantially helpful in organising the basic ideas and in identifying five thematic groups that show the main roles of formal ontologies in information systems development. Formal ontologies are mainly used in the interoperability of information systems, human resource management, domain knowledge representation, the involvement of semantics in unified modelling language (UML)-based modelling, and the management of programming code and documentation. We explain the main ideas in the reviewed studies and suggest possible extensions to this research.

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Section: Discussionmentioning

confidence: 99%

Section: Involvement Of Semantics Into the Uml-based Modellingmentioning

confidence: 99%

Section: Contribution Of Ontologies In Information Systems Development and Future Directionsmentioning

confidence: 99%

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Formal Ontologies in Information Systems Development: A Systematic Review

Husáková

Bureš

2020

Information

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“…Rhem 166 used UML as standard notation and RHEM-KAF (Knowledge Acquisition Framework) as a standard process to acquire knowledge and model. Wei et al 167 used OWL ontology to manage the consistency and completeness of UML models and presented the transformation of the UML diagram to ontology.…”

Section: Other Modeling Methodsmentioning

confidence: 99%

Knowledge modeling: A survey of processes and techniques

Yun

Zhang

et al. 2021

Int J Intell Syst

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“…Wei et al [65] proposed a method to analyze various UML diagrams, including class, sequence, and state machine diagrams. By converting these diagrams into OWL, they used SPARQL queries to perform diverse analyses.…”

Section: Application Of Sparql For Requirements Analysismentioning

confidence: 99%

BERDD: A Behaviour Engineering-Based Approach for Requirements Defects Detection

Anwer,

Wen,

Hassan

et al. 2024

IEEE Access

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Detecting software requirements defects is crucial in reducing the risk of software project failures. Existing methods for automatic detection, especially during requirements changes, are limited in coverage and often lack robust tool support. Addressing this gap, we define the four most common types of requirements defects (incompleteness, inconsistency, redundancy, and ambiguity) and present algorithms for their detection. We propose a novel behaviour engineeringbased approach, translating software requirements into behaviour trees and then into the Web Ontology Language (OWL). We developed 'requirements defects identifier', a tool that queries the OWL knowledge base to identify potential defects during requirements analysis and change. Validated on three final-year student projects, our approach demonstrated success in detecting all four defect types, offering broader coverage compared to existing tools. A real-world case study has been used to validate the applicability of the proposed approach. Our experiments demonstrate that the tool can successfully detect all four different types of requirement defects during both requirements analysis and requirements change.

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A Knowledge Engineering Approach to UML Modeling (S)

Cited by 4 publications

References 9 publications

Formal Ontologies in Information Systems Development: A Systematic Review

Formal Ontologies in Information Systems Development: A Systematic Review

Knowledge modeling: A survey of processes and techniques

BERDD: A Behaviour Engineering-Based Approach for Requirements Defects Detection

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