Ontology-Based Design Pattern Recognition

Kirasić, Damir; Basch, Danko

doi:10.1007/978-3-540-85563-7_50

Cited by 17 publications

(6 citation statements)

References 13 publications

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“…The pattern inference capabilities are provided by the Semantic Web Rule Language (SWRL) and Simple Protocol and RDF Query Language (SPARQL). Kirasić and Basch's work presents an example of pattern inference resorting to SWRL [8].…”

Section: Introductionmentioning

confidence: 99%

A Study on the Viability of Formalizing Use Cases

Couto

Ribeiro

Campos

2014

2014 9th International Conference on the Quality of Information and Communications Technology

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Use case scenarios are known as powerful means for requirements specification. On the one hand, they join in the same modeling space the expectations of the stakeholders and the needs of the developers involved in the process. On the other hand, they describe the desired high level functionalities. By formalizing these descriptions we are able to extract relevant informations from them. Specifically, we are interested in identifying requirements patterns (common requirements with typical implementation solutions) in support for a requirements based software development approach. This paper addresses the transformation of use case descriptions expressed in a Controller Natural Language into an ontology expressed in the Web Ontology Language (OWL), as well as the query process for such information. It reports on a study aimed at validating our approach and our tool with real users. A preliminary set of results is discussed.

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Section: Introductionmentioning

confidence: 99%

A Study on the Viability of Formalizing Use Cases

Couto

Ribeiro

Campos

2014

2014 9th International Conference on the Quality of Information and Communications Technology

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“…In particular, design patterns are described using variations of Prolog predicates and limited information about program elements and their roles are represented as Prolog facts. Most recently, the work presented in [16] and [17] explored the notion of utilizing OWL ontologies to structure the source code knowledge. However, these approaches provide template ontology descriptions or at best rudimentary ontologies that must be extended to become more expressive.…”

Section: Related Workmentioning

confidence: 99%

Using Ontology Reasoning for Reverse Engineering Design Patterns

Alnusair

Zhao

2010

Models in Software Engineering

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Abstract. Capturing design knowledge in large software systems reduces the complexity of understanding and reusing these systems. Model Driven Engineering (MDE) is seen by many as the new trend to cope with software complexity. MDE promotes the notion of modeling and model transformations in model-driven development. In this paper, we propose an approach that utilizes ontological modeling and reasoning for recovering design pattern information from source code. We thus provide a formal representation of the conceptual knowledge found in source code and match it to similar representation of design patterns. This proper matching is the basis for applying semantic reasoning to infer design pattern instances. We have tested our approach on multiple open source application frameworks. The results we obtained are promising and show an improvement in terms of recall and precision.

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“…In [13], an ontology-based approach to recognise design patterns in program codes is proposed, where the ontology consists of models of design patterns and the reasoner is used to identify design patterns from an input program. The approaches in [13] and in this paper are similar but the difference is that the former is applied to the analysis of program codes in text and the latter is applied to the analysis of diagrams.…”

Section: Related Workmentioning

confidence: 99%

Ontology-Based Spatial Pattern Recognition in Diagrams

Thomas¹,

Gerber²,

Merwe³

2018

IFIP Advances in Information and Communication Technology

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Diagrams are widely used in our day to day communication. A knowledge of the spatial patterns used in diagrams is essential to read and understand them. In the context of diagrams, spatial patterns mean accepted spatial arrangements of graphical and textual elements used to represent diagram-specific concepts. In order to assist with the automated understanding of diagrams by computer applications, this paper presents an ontology-based approach to recognise diagram-specific concepts from the spatial patterns in diagrams. Specifically, relevant spatial patterns of diagrams are encoded in an ontology, and the automated instance classification feature of the ontology reasoners is utilised to map spatial patterns to diagram-specific concepts depicted in a diagram. A prototype of this approach to support automated recognition of UML and domain concepts from class diagrams and its performance are also discussed in this paper. This paper concludes with a reflection of the strengths and limitations of the proposed approach.

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Ontology-Based Design Pattern Recognition

Cited by 17 publications

References 13 publications

A Study on the Viability of Formalizing Use Cases

A Study on the Viability of Formalizing Use Cases

Using Ontology Reasoning for Reverse Engineering Design Patterns

Ontology-Based Spatial Pattern Recognition in Diagrams

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