Toward Requirements and Design Traceability Using Natural Language Processing

Omer Salih Dawood and Abd-El-Kader Sahraoui
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Omer Salih Dawood: College of Computer Science and Information Technology Sudan University of Science and Technology, Khartum, Sudan
Abd-El-Kader Sahraoui: LAAS-CNRS, Université de Toulouse, CNRS, UT2J, Toulouse, France.

European Journal of Engineering and Technology Research, 2018, vol. 3, issue 7, 42-49

Abstract: The paper aimed to address the problem of incompleteness and inconsistency between requirements and design stages, and how to make efficient linking between these stages. Software requirements written in natural languages (NL), Natural Language Processing (NLP) can be used to process requirements. In our research we built a framework that can be used to generate design diagrams from requirements in semi-automatic way, and make traceability between requirements and design phases, and in contrast. Also framework shows how to manage traceability in different levels, and how to apply changes to different artifacts. Many traceability reports can be generated based on developed framework. After Appling this model we obtained good results. Based on our case study the model generate a class diagram depends on central rule engine, and traceability was built and can be managed in visualize manner. We proposed to continue this research as its very critical area by adding more Unified Modeling Language(UML) diagrams, and apply changes directly inside software requirement document.

Keywords: Requirement Engineering; Requirement Management; NLP; Requirement Traceability; UML; Software Design (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:epw:ejeng0:v:3:y:2018:i:7:id:60807

DOI: 10.24018/ejeng.2018.3.7.807

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