SBVR2UML: A Challenging Transformation

Afreen, Hina; Bajwa, Imran Sarwar; Bordbar, Behzad

doi:10.1109/fit.2011.14

Cited by 15 publications

(12 citation statements)

References 8 publications

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“…class diagram, activity diagram, sequence diagram and use-case diagram without resolving ambiguities. A propose tool SBVR2UML (Afreen et al, 2011) claims that if the NLRs are converted into semi-formal language viz. semantic of business vocabulary and rules (SBVR) reduce ambiguities.…”

Section: Natural Language To Object Oriented Modellingmentioning

confidence: 99%

“…As per our literature survey, there exists numerous tools viz. UMLG (Bajwa et al, 2009), RAPID (More and Phalnikar, 2012), SBVR2UML (Afreen et al, 2011) and UMGAR (Deeptimahanti and Sanyal, 2011) that take NLRs as input and output the UML counterpart. Tools such as UMLG, RAPID and SBVR2UML mainly focus on generating class diagrams from the informal requirements specifications.…”

Section: Introductionmentioning

confidence: 99%

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Resolving ambiguity in natural language specification to generate UML diagrams for requirements specification

Shah¹,

Jinwala

2015

IJSETA

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Requirements engineering activity often starts with the vaguely defined requirements. Hence, it is essential that when the requirements are analysed, the ambiguities are resolved to the extent possible. One of the attractive alternatives in resolving ambiguities is to convert the informal natural language requirements (NLRs) into their formal or semi-formal counterpart that ensures precision and orthogonality. Towards meeting this goal, the Unified Modelling Language (UML) notations can be exploited to an advantage. As per our literature survey, there exist numerous tools that take NLR as input and output the UML counterpart. However, most of the tools do not support normalising and resolving ambiguities. In this paper, we propose an architecture viz. ARUgen that is aimed to resolve ambiguities, find object oriented terms and relationship to generate accurate UML diagrams with Java code. Our tool ARUgen mainly deals with ambiguities viz. pronoun anaphora, verb anaphora and coordination.

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Section: Natural Language To Object Oriented Modellingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Resolving ambiguity in natural language specification to generate UML diagrams for requirements specification

Shah¹,

Jinwala

2015

IJSETA

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“…The methods discuss the problem of system structure generation from this point of view, for example [16] mentioned above or [22] which provides an improved class diagram from some initial class diagram. SBVR2UML [23] proposes transformation from semantics of business vocabulary and rules to class diagram with linguistic analysis. It generates all elements of class diagram, and possesses a tool.…”

Section: Related Work and Comparison To Other Modelling Approachesmentioning

confidence: 99%

Improvement of the Two-Hemisphere Model-Driven Approach for Generation of the UML Class Diagram

Nikiforova¹,

Gusarovs²,

Gorbiks³

et al. 2013

Applied Computer Systems

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In this paper an ability to apply the two-hemisphere model-driven approach for creation of the UML class diagram is discussed and the way to avoid the limitations of the approach is offered. The result of the proposed improvement of the twohemisphere model-driven approach is the increased number of elements of the UML class diagram available for automatic generation and several statements for semi-automatic transformation of business process diagram and the concept diagram into software components. As a result, the authors can ascertain that it is possible to apply the improved twohemisphere model-driven approach in practice in the real software development, and not only for academic purpose.

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“…The research in [5] aims to reduce the ambiguity of natural language sentences, and the research in [6] aims to apply relationships for use in creating class models. The results from creating relationships between natural language sentences and SBVR produce an average F-Value of higher than 80%.…”

Section: Introductionmentioning

confidence: 99%

“…The research in [5], [6] proposes methods for applying the Semantics of Business Vocabulary and Business Rules (SBVR) to create relationships with natural language sentences. The research in [5] aims to reduce the ambiguity of natural language sentences, and the research in [6] aims to apply relationships for use in creating class models.…”

Section: Introductionmentioning

confidence: 99%

Verifying Software Requirements Characteristics Based on Rules Defined from Software Component Relationships

Phanthanithilerd¹,

Prompoon²

2016

LNSE

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Abstract-In identifying software requirements from users, the requirements are usually in the form of natural language sentences, which may be ambiguous. Therefore, a language has been developed to model the software in different aspects help solve such problem and communicate between the users and developers, namely, Unified Modeling Language (UML). Using UML for Software designing from natural language sentences may be complicated, and the software developers may not identify the requirements consistently; therefore, software developers should give importance to verifying that the requirements in the natural language sentence format and in the model format have good properties. Therefore, this research proposes rules for verifying that requirements in the natural language sentence format and requirements in the model have good properties according to the IEEE 830 standard, namely, unambiguity, consistency and traceability, Applying the proposed rules is beneficial to ensure that the requirements identified in the model are consistent with the user requirements in the natural language sentence format, allowing the software developers to develop the software according to the user requirements. Index Terms-Software requirement properties, software model, requirements verification.

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SBVR2UML: A Challenging Transformation

Cited by 15 publications

References 8 publications

Resolving ambiguity in natural language specification to generate UML diagrams for requirements specification

Resolving ambiguity in natural language specification to generate UML diagrams for requirements specification

Improvement of the Two-Hemisphere Model-Driven Approach for Generation of the UML Class Diagram

Verifying Software Requirements Characteristics Based on Rules Defined from Software Component Relationships

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