Transformation of requirement specifications expressed in natural language into an EER model

Reusability is the ability to use the same software elements for constructing many different applications. Formal specifications can help to semiautomatic design processes based on reusable components. However, during the first stages of development, when the interaction with the stakeholders is crucial, the use of client-oriented requirements engineering techniques seems to be necessary in order to enhance the communication between the stakeholders and the software engineers. In this chapter, we propose a systematic reuse approach that integrates natural language requirement specifications with formal specifications in RSL (RAISE Specification Language). On the one hand, some heuristics are described to develop a formal specification in RSL starting from models belonging to the Requirements Baseline. On the other hand, we have defined a reusable component model that integrates RSL specifications at different levels of abstraction, as well as presented a process with reuse based on the model.

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Natural Language Processing Approach for UML Class Model Generation from Software Requirement Specifications via SBVR

International Journal of Artificial Intelligence Tools ◽

10.1142/s0218213018500276 ◽

2018 ◽

Vol 27 (06) ◽

pp. 1850027

Author(s):

Murali Mohanan ◽

Philip Samuel

Keyword(s):

Natural Language Processing ◽

Natural Language ◽

Language Processing ◽

Model Generation ◽

Class Model ◽

Software Requirement ◽

Full Responsibility ◽

Processing Approach ◽

Requirement Specifications

This article has been retracted due to partial plagiarism and the author Murali Mohanan takes full responsibility for the partial plagiarism detected. A notice of retraction is published in Vol. 27 No. 8

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Requirements to Class Model via SBVR

International Journal of Open Source Software and Processes ◽

10.4018/ijossp.2019040104 ◽

2019 ◽

Vol 10 (2) ◽

pp. 70-87

Author(s):

Murali Mohanan ◽

Imran Sarwar Bajwa

Keyword(s):

Natural Language ◽

Language Processing ◽

Unified Modeling Language ◽

Object Oriented ◽

Automated System ◽

Parts Of Speech ◽

Natural Language Processing Tool ◽

The Cost ◽

Requirement Specifications ◽

Class Models

A user's software requirements are represented in natural language or a speech such as English. Translating these requirements into the object-oriented models is a tough process for designers. This article proposes a neoteric approach to generate Unified Modeling Language (UML) class models instantly from software requirement specifications (SRS). Here the authors make use of the Open Natural language processing tool (OpenNLP) for lexical analysis and to generate the necessary parts of speech (POS) tags from these requirement specifications. Then, the Semantics of Business Vocabulary and Rules (SBVR) standard is used to extract the object-oriented elements from the natural language (NL) processed SRS. From this, the authors generate UML class models. The prototype tool can generate accurate models in less time. This automated system for designing object-oriented models from SRS reduces the cost and budget for both the designers and the users.

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A Semantical Approach for Automatically Transforming Software Requirement Specification into Formal Presentation

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.225-226.776 ◽

2011 ◽

Vol 225-226 ◽

pp. 776-779

Author(s):

Shu Chen ◽

Ming Kai Chen

Keyword(s):

Natural Language ◽

Formal Model ◽

High Quality ◽

Requirement Specification ◽

Requirement Model ◽

Formal Presentation ◽

Automatic Mapping ◽

Requirement Specifications ◽

Software Requirement Specification ◽

Quality Production

Software engineering is a critical step in obtaining high quality production. However, requirement specifications that written in natural language is inevitably has ambiguity. Modern driven architecture makes use of requirement model for the complement of requirement specification to eliminate such ambiguity. However, currently, the transformation from requirement specification into formal model only limited in syntax level, thus lack of correctness and precision. This paper proposed an approach in semantical level to process textual specifications of the requirements of unlimited natural language and their automatic mapping to the formal presentation.

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