An Algorithmic Approach for Generating Behavioral UML Models Using Natural Language Processing

Abdelnabi, Esra A.; Maatuk, Abdelsalam M.; Abdelaziz, Tawfig M.

doi:10.1145/3492547.3492612

Cited by 4 publications

(10 citation statements)

References 20 publications

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“…Designing UML diagrams such as sequence diagrams poses lots of challenges: it is time-consuming, requires a lot of effort, and is very costly (Abdelnabi et al, 2020;Alami et al, 2020;Fischbach et al, 2020;. Besides, there are several problems associated with the process of designing UML diagrams which come from the complexity and ambiguity of natural language (Abdelnabi et al, 2021;Javed & Lin, 2018, 2021.…”

Section: What Are the Challenges Faced By Academics And The Industry ...mentioning

confidence: 99%

“…A set of rules is also used to ensure that the POS tags are useful for the extraction of use case diagram elements. Then, Abdelnabi et al (2021) proposed an approach to generate a sequence diagram and a collaboration diagram from unrestricted natural language requirements, using Stanford CoreNLP as the NLP tool. They applied five different NLP techniques: tokenisation, POS tagging, lemmatisation and stemming, parse tree and type dependencies, and open information extraction (OpenIE).…”

Section: What Are Nlp Tools and Techniques Used To Assist The Generat...mentioning

confidence: 99%

“…The NLP techniques applied in the study were tokenisation, POS tagging, discretisation, morphological disambiguation, and stemming and lemmatisation. Maatuk and Abdelnabi (2021) generate a use case diagram and an activity diagram by adopting the generation approach of Abdelnabi et al (2021). This means that the study also applied five different NLP techniques which are sentence and word tokenisation, POS tagging, lemmatisation and stemming, parse tree and type dependencies, and OpenIE using StanfordCore NLP.…”

Section: What Are Nlp Tools and Techniques Used To Assist The Generat...mentioning

confidence: 99%

“…Next, the generation of a sequence diagram and a collaboration diagram from natural language requirements was proposed by Abdelnabi et al (2021). Their study applied a set of heuristic rules to assist the extraction of the sequence and collaboration diagram elements.…”

Section: How To Measure the Accuracy Of Uml Models Or Conceptual Mode...mentioning

confidence: 99%

“…The study used the same method of validation as Abdelnabi et al (2021). As for the results of the experiment, their approach is able to generate class diagrams, use case diagrams and activity diagrams.…”

Section: How To Measure the Accuracy Of Uml Models Or Conceptual Mode...mentioning

confidence: 99%

See 4 more Smart Citations

Visualisation of User Stories in UML Models: A Systematic Literature Review

Mornie,

Jali,

Junaini

et al. 2023

AIP

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The use of agile methodology in software development projects is growing rapidly among industry professionals and academia. The Unified Modelling Language (UML) conventionally accompanies agile software development to model the software requirements. The user story is fundamental and should be identified to communicate the basic requirements between the development team and the stakeholders before the UML model such as the use case diagram, class diagrams and many others can be designed. However, there are several challenges associated with this process such as poorly organised user stories, natural language complexity and high time consumption to create them. A systematic literature review is conducted to grasp more knowledge about the utilisation of natural language processing (NLP) for UML model generation. A total of 198 papers were initially found in four online databases, namely Scopus, IEEE Xplore, ScienceDirect and ACM Digital Library, from the period 2018-2022. After removing duplicates, applying inclusion and exclusion criteria, and conducting the full-text assessment, only 20 papers are included as the primary studies. The primary studies are reviewed to discover several important pieces of information, namely the challenges of designing UML models, NLP tools and techniques used to generate UML models, UML models generated, and validation methods used for measuring the accuracy of generated models. Finally, this study discusses important elements related to UML model generation using NLP tools and techniques.

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Section: What Are the Challenges Faced By Academics And The Industry ...mentioning

confidence: 99%

Section: What Are Nlp Tools and Techniques Used To Assist The Generat...mentioning

confidence: 99%

Section: What Are Nlp Tools and Techniques Used To Assist The Generat...mentioning

confidence: 99%

Section: How To Measure the Accuracy Of Uml Models Or Conceptual Mode...mentioning

confidence: 99%

Section: How To Measure the Accuracy Of Uml Models Or Conceptual Mode...mentioning

confidence: 99%

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Visualisation of User Stories in UML Models: A Systematic Literature Review

Mornie,

Jali,

Junaini

et al. 2023

AIP

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show abstract

Automated Approach for Digitalizing Scope of Work Requirements to Support Contract Management

Hassan

2023

J. Constr. Eng. Manage.

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Natural Language Processing based Automatic Making of Use Case Diagram

Kumar,

Aryaman,

Aryan

et al. 2023

2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA)

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An Algorithmic Approach for Generating Behavioral UML Models Using Natural Language Processing

Cited by 4 publications

References 20 publications

Visualisation of User Stories in UML Models: A Systematic Literature Review

Visualisation of User Stories in UML Models: A Systematic Literature Review

Automated Approach for Digitalizing Scope of Work Requirements to Support Contract Management

Natural Language Processing based Automatic Making of Use Case Diagram

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