Automatic builder of class diagram (ABCD): an application of UML generation from functional requirements

Karâa, Wahiba Ben Abdessalem; Azzouz, Zeineb Ben; Singh, Aarti; Dey, Nilanjan; Ashour, Amira S.; Ghazala, Henda Ben

doi:10.1002/spe.2384

Cited by 42 publications

(14 citation statements)

References 20 publications

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“…H.M. Harmain [11], Sagar [12], Sharma [13], and B. A. Karaa [14] analysis textual specifications and generate a UML Class Model. A. Al-Hroob [15] and S. Tiwari [16] automatically extract use case elements from textual specifications.…”

Section: A Natural Language To (Semi) Formalmentioning

confidence: 99%

The Semantic of Business Vocabulary and Business Rules: An Automatic Generation From Textual Statements

et al. 2021

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In the early phases of the software development process, specifications are mostly written in a natural language rather than formal models, which is not supported by the Model Driven Architecture (MDA). For this reason, the Semantic of Business Vocabulary and Rules (SBVR) is proposed by the Object Management Group to represent the textual specifications in a language comprehensible by both of humans and machines, to facilitate its integration in the MDA lifecycle. However, businesspeople are usually not familiar with SBVR standard. In this paper we present an approach to automatically transform textual business rules to an SBVR model, to facilitate its integration in nowadays information technology infrastructures. Our approach is distinguished from existing works in that it uses an in-depth Natural Language Processing to extract a more comprehensible SBVR model that includes the semantic formulation of each business rule statement, coupled with a Terminological Dictionary of extracted concepts, to which we have added further specifications such as definitions and synonyms. The evaluation of our approach shows that for three sets of business rules statements taken from different domains, we could generate the correct meaning with an average of F1-score exceeding 87%.

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Section: A Natural Language To (Semi) Formalmentioning

confidence: 99%

The Semantic of Business Vocabulary and Business Rules: An Automatic Generation From Textual Statements

et al. 2021

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“…Karaa et al [30] presented an automated approach to generate class diagram from the functional requirements. Tokenization, POS tagging, and syntactic parsing are the preprocessing steps.…”

Section: Literature Reviewmentioning

confidence: 99%

iMER: Iterative process of entity relationship and business process model extraction from the requirements

Javed

Lin

2021

Information and Software Technology

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“…The parser and the PSO tagger methods are used to analyze the user input, provided in the English language, when selecting the procedures and expressions, and others from the text. In this paper [3], a novel technique is introduced to improve the overall processing of the NL specification, and the proposed approach detects defects in NL specifications. Moreover, they show from the papers of the previously published work, how well the proposed method support even non-software-engineers in editing texts for generating software engineering requirements.…”

Section: Related Workmentioning

confidence: 99%

A Framework for the Generation of Class Diagram from Text Requirements using Natural language Processing

2021

IJATCSE

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The software development procedure begins with identifying the requirement analysis. The process levels of the requirements start from analysing the requirements to sketch the design of the program, which is very critical work for programmers and software engineers. Moreover, many errors will happen during the requirement analysis cycle transferring to other stages, which leads to the high cost of the process more than the initial specified process. The reason behind this is because of the specifications of software requirements created in the natural language. To minimize these errors, we can transfer the software requirements to the computerized form by the UML diagram. To overcome this, a device has been designed, which plans can provide semi-automatized aid for designers to provide UML class version from software program specifications using natural Language Processing techniques. The proposed technique outlines the class diagram in a well-known configuration and additionally facts out the relationship between instructions. In this research, we propose to enhance the procedure of producing the UML diagrams by utilizing the Natural Language, which will help the software development to analyze the software requirements with fewer errors and efficient way. The proposed approach will use the parser analyze and Part of Speech (POS) tagger to analyze the user requirements entered by the user in the English language. Then, extract the verbs and phrases, etc. in the user text. The obtained results showed that the proposed method got better results in comparison with other methods published in the literature. The proposed method gave a better analysis of the given requirements and better diagrams presentation, which can help the software engineers. Key words: Part of Speech,UM

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Automatic builder of class diagram (ABCD): an application of UML generation from functional requirements

Cited by 42 publications

References 20 publications

The Semantic of Business Vocabulary and Business Rules: An Automatic Generation From Textual Statements

The Semantic of Business Vocabulary and Business Rules: An Automatic Generation From Textual Statements

iMER: Iterative process of entity relationship and business process model extraction from the requirements

A Framework for the Generation of Class Diagram from Text Requirements using Natural language Processing

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