Domain-Specific Software System Testing by Using Intelligent Approaches

As Software industries have grown over the last few years, software testing has been considered a crucial process in the software development lifecycle. In the past, software testing was done manually, and this is a very laborious and costly process that carries errors and requires time, money, and effort. Currently, testers want to perform the testing automatically to save time and get accurate results. In this paper, we propose the development of a domain-specific tool Architecture to automate test case generation across various industries like Automotive, Finance, and healthcare. This will retrieve user requirements and apply Intelligent Techniques to generate test cases. By enhancing the intelligent models' concrete tests with fewer ambiguities can be generated through this tool.

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Publication Details

Published
2024-11-28
DOI
https://doi.org/10.1109/cins63881.2024.10864412
Primary Topic
Software Testing and Debugging Techniques
Type
article
Field-Weighted Citation Impact
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article

Domain-Specific Software System Testing by Using Intelligent Approaches

Vijayakumar Balakrishnan, Pooja Chauhan
Software Testing and Debugging Techniques
article

Domain-Specific Software System Testing by Using Intelligent Approaches

Vijayakumar Balakrishnan, Pooja Chauhan
article en

Abstract

As Software industries have grown over the last few years, software testing has been considered a crucial process in the software development lifecycle. In the past, software testing was done manually, and this is a very laborious and costly process that carries errors and requires time, money, and effort. Currently, testers want to perform the testing automatically to save time and get accurate results. In this paper, we propose the development of a domain-specific tool Architecture to automate test case generation across various industries like Automotive, Finance, and healthcare. This will retrieve user requirements and apply Intelligent Techniques to generate test cases. By enhancing the intelligent models' concrete tests with fewer ambiguities can be generated through this tool.

Openalex Percentile: Top 73%
Software Testing and Debugging Techniques
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