Automatic Extraction of Structural Model from Semi Structured Software Requirement Specification

Shweta, .; Sanyal, Ratna; Ghoshal, Bibhas

doi:10.1109/icis.2018.8466406

Cited by 7 publications

(10 citation statements)

References 12 publications

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“…We have applied extraction rules A1‐A5 using implementation rules which are mentioned in [38]. Further, we have devised some more attribute extraction rules explained below:…”

Section: Proposed Methodologymentioning

confidence: 99%

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Automated class diagram elicitation using intermediate use case template

2021

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Class diagrams, being more illustrative, provide an easier way of understanding software requirements compared to use case descriptions. Both manual and automated methods are used for the extraction of class diagrams from requirements. The automated techniques employ certain extraction rules and natural language processing methods. Each use case description template introduces a small set of extraction rules. However, when all types of templates are considered, the number of rules becomes large and the procedure becomes tedious. Thus, researchers restricted the class diagram extraction procedure to some specific use case description templates. However, such a restriction negatively affects the software developers as they get restricted to working with only limited templates. The proposed work in this paper strives to remove this restriction on developers by introducing an intermediate template. The traditional use case description templates get transformed into the intermediate template and the rule extraction procedure is then applied to this intermediate template. This reduces the total number of extraction rules and hence, brings down the extraction complexity. The class diagrams extracted from use case description templates of different domains using proposed technique show more accuracy in terms of completeness and correctness when compared with the state of the art approaches.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…We have applied extraction rules A1‐A5 using implementation rules which are mentioned in [38]. Further, we have devised some more attribute extraction rules explained below:…”

Section: Proposed Methodologymentioning

confidence: 99%

“…We have applied extraction rules A1-A5 using implementation rules which are mentioned in [38]. Further, we have devised some more attribute extraction rules explained below: A6-The verb in a sentence such as 'enter', 'type', and 'input' with object then object will be an attribute.…”

Section: Attributes Extraction Rulesmentioning

confidence: 99%

Automated class diagram elicitation using intermediate use case template

2021

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“…This is because it offers many techniques and the researcher can pick those that suit their approach. Besides, the high efficiency and accuracy of generating UML models or other types of conceptual models using Stanford CoreNLP provides great results, as can be seen from several primary studies (Abdelnabi et al, 2021;Alashqar, 2021;Javed & Lin, 2018;Shweta et al, 2018).…”

Section: Findings Related To Rq2mentioning

confidence: 99%

“…The UML models most generated in the selected primary studies are the class diagram and sequence diagram, which were made in several studies (Alami et al, 2020;Alashqar, 2021;Nasiri et al, 2020;Shweta et al, 2018). Other types of UML models, such as use case diagrams, activity diagrams and collaboration diagrams, have not got much attention in the last five years.…”

Section: Findings Related To Rq3mentioning

confidence: 99%

“…As for the evaluation methods used in the primary studies, the most dominant method used by the researchers is case studies to measure the accuracy of their generated model. Case studies are used to conduct the evaluation in many papers (Abdelnabi et al, 2021;Alami et al, 2020;Alashqar, 2021;Gilson et al, 2020;Kochbati et al, 2021;Nasiri et al, 2020;Shweta et al, 2018;Tiwari et al, 2019). A set of case studies is gathered and used to conduct the experiment, and the results are observed.…”

Section: Findings Related To Rq3mentioning

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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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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