scholarly journals A Review on Test Automation for Test Cases Generation using NLP Techniques

2021 ◽  
Vol 12 (6) ◽  
pp. 1488-1491
Author(s):  
Srinivas Perala, Dr. Ajay Roy
Keyword(s):  
Product Development ◽  
Natural Language ◽  
Software Requirements ◽  
Test Cases ◽  
Test Automation ◽  
Research Article ◽  
Technical Department ◽  
Requirement Document ◽  
Develop Software ◽  
Natural Language Requirements

In the process of product development, stakeholders and top management summarize the concept and document the requirements in natural language. These ideas and descriptions documented as software requirements by the technical department. Developers develop software following this software requirement document. For testing this developed software, they derive test cases from natural language requirements and then do the testing process to find the bugs. This process involves understanding requirements and derives test cases that are used to understand by developers and testers. Due to increasing the advanced features, deriving the test cases is monotonous and takes more time. This research article shows a method to automate this process which is deriving test cases from requirements using NLP algorithms. This approach useful to reduce the time and cost of software development.

NAT2TEST Tool: From Natural Language Requirements to Test Cases Based on CSP

2015 ◽  
pp. 283-290 ◽  
Author(s):  
Gustavo Carvalho ◽  
Flávia Barros ◽  
Ana Carvalho ◽  
Ana Cavalcanti ◽  
Alexandre Mota ◽  
...  
Keyword(s):  
Natural Language ◽  
Test Cases ◽  
Natural Language Requirements

Generating model-based test cases from natural language requirements for space application software

2011 ◽  
Vol 20 (1) ◽  
pp. 77-143 ◽  
Author(s):  
Valdivino Alexandre de Santiago Júnior ◽  
Nandamudi Lankalapalli Vijaykumar
Keyword(s):  
Natural Language ◽  
Test Cases ◽  
Application Software ◽  
Space Application ◽  
Model Based ◽  
Natural Language Requirements

scholarly journals Algorithm for Automatic Detection of Ambiguities from Software Requirements

2019 ◽  
Vol 8 (9S) ◽  
pp. 878-882
Keyword(s):  
Natural Language ◽  
Automatic Detection ◽  
Software Requirements ◽  
Software Systems ◽  
Requirement Specification ◽  
Software Requirement ◽  
Requirement Document ◽  
Different Types ◽  
Specification Document ◽  
Software Requirement Specification

Software Systems are built by the Software engineers and must ensure that software requirement document (SRS) should be specific. Natural Language is the main representation of Software requirement specification document, because it is the most flexible and easiest way for clients or customers to express their software requirements [2]. However being stated in natural language, software requirement specification document may lead to ambiguities [28]. The main goal of presented work to automatically detection of the different types of ambiguities like Lexical, Syntactic, Syntax and Pragmatic. Then an algorithm is proposed to early detection the different types of ambiguities from software requirement document. Part of Speech (POS) technique and regular expression is used to detect each type of ambiguities. An algorithm presented in this paper have two main goals (1) Automatic detection of different types of ambiguities. (2) Count the total number of each types of ambiguities found and evaluate the percentage of ambiguous and non- ambiguous statements detected from software requirement document. The suggested algorithm can absolutely support the analyst in identifying different kinds of ambiguities in Software requirements specification (SRS) document.

scholarly journals Towards an Automated Model-Based Test Generation Approach from Controlled Natural Language Specifications Written in Arabic

2021 ◽  
Author(s):  
Moez Krichen ◽  
Seifeddine Mechti
Keyword(s):  
Natural Language ◽  
Test Generation ◽  
Arabic Language ◽  
Test Cases ◽  
New Model ◽  
Controlled Natural Language ◽  
Model Based ◽  
Case Grammar ◽  
Model Based Testing ◽  
Testing Approach

<div>We propose a new model-based testing approach which takes as input a set of requirements described in Arabic Controlled Natural Language (CNL) which is a subset of the Arabic language generated by a specific grammar. The semantics of the considered requirements is defined using the Case Grammar Theory (CTG). The requirements are translated into Transition Relations which serve as an input for test cases generation tools.</div>

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