Proceedings of the 2020 12th International Conference on Computer and Automation Engineering 2020
DOI: 10.1145/3384613.3384619
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A Natural Language Processing (NLP) Framework for Embedded Systems to Automatically Extract Verification Aspects from Textual Design Requirements

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Cited by 10 publications
(10 citation statements)
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“…A worthwhile method to take into account IT development constraints is to implement natural language processing (NLP) frameworks such as [16,17] or [18]. The later publication details a novel framework dedicated to the automatic extraction and verification of operational constraints.…”
Section: Literature Review Of Existing Tools and Framework To The Construction And Documentation Of It Projectsmentioning
confidence: 99%
“…A worthwhile method to take into account IT development constraints is to implement natural language processing (NLP) frameworks such as [16,17] or [18]. The later publication details a novel framework dedicated to the automatic extraction and verification of operational constraints.…”
Section: Literature Review Of Existing Tools and Framework To The Construction And Documentation Of It Projectsmentioning
confidence: 99%
“…Thus, these systems need to be verified as early as possible in the development process to reduce the cost and effort in the context of MBSE [57]. To achieve these goals, the UML profile for SystemVerilog (UMLSV) [58,59] and a novel Natural Language Processing (NLP) framework [60] were developed to completely model the design and verification requirements of systems.…”
Section: Related Workmentioning
confidence: 99%
“…They permit us to undergo reverse engineering of applications to track the requirements of the developed systems. In particular, we can also use the SystemVerilog tool [58,59] and a novel NLP framework [60] to completely validate the control requirements and design models of the developed system.…”
Section: External Interfacementioning
confidence: 99%
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“…In MDA, the transformation of higher-level source models to the target platform specific models or low-level code is generally carried out through transformation rules [48] either employing M2T (Model to Text) or M2M (Model to Model) transformations. The generated code from M2T transformation reduces the development time and effort as well as minimizes the risk of introducing errors during the development process.…”
Section: Transformation Rulesmentioning
confidence: 99%