Software Testing in E-Commerce: A Comparison Between Manual and Automated Testing Using Katalon Studio and Python

Software testing is a crucial element in software development to ensure quality and reliability. This study compares manual and automated testing using tools like Katalon Studio and Python. Manual testing is effective for scenarios requiring human judgment, such as user experience (UX) evaluation. In contrast, automated testing is more efficient for routine and repetitive tasks, reducing human error and speeding up the process. This study evaluates the effectiveness, efficiency, and costs of both methods in the context of e-commerce software testing. The results indicate that manual testing is superior in detecting defects before release, while automated testing is more cost-effective and time-efficient for repetitive testing. This guide assists developer for selecting the appropriate testing method based on their project needs.

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Publication Details

Journal
Journal of Artificial Intelligence and Software Engineering (J-AISE)
Published
2025-03-26
DOI
https://doi.org/10.30811/jaise.v5i1.6448
Primary Topic
Computational Physics and Python Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Software Testing in E-Commerce: A Comparison Between Manual and Automated Testing Using Katalon Studio and Python

Widyastuti Andriyani, Brian Duen Rakly
Journal of Artificial Intelligence and Software Engineering (J-AISE)
Computational Physics and Python Applications
article

Software Testing in E-Commerce: A Comparison Between Manual and Automated Testing Using Katalon Studio and Python

Widyastuti Andriyani, Brian Duen Rakly
article en

Abstract

Software testing is a crucial element in software development to ensure quality and reliability. This study compares manual and automated testing using tools like Katalon Studio and Python. Manual testing is effective for scenarios requiring human judgment, such as user experience (UX) evaluation. In contrast, automated testing is more efficient for routine and repetitive tasks, reducing human error and speeding up the process. This study evaluates the effectiveness, efficiency, and costs of both methods in the context of e-commerce software testing. The results indicate that manual testing is superior in detecting defects before release, while automated testing is more cost-effective and time-efficient for repetitive testing. This guide assists developer for selecting the appropriate testing method based on their project needs.

Journal of Artificial Intelligence and Software Engineering (J-AISE)Vol. 5(1)
Universitas Teknologi Indonesia (ID), Universitas Teknologi Digital
Openalex Percentile: Top 97%
Computational Physics and Python Applications
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Software Testing in E-Commerce: A Comparison Between Manual and Automated Testing Using Katalon Studio and Python — Widyastuti Andriyani, Brian Duen Rakly · Journal of Artificial Intelligence and Software Engineering (J-AISE) (2025) | TGRS Research Map | TGRS