Automated testing in modern software development: navigating challenges and opportunities

Automated testing has become a cornerstone of modern software development, revolutionizing how organizations approach quality assurance and continuous delivery. This evolution reflects the growing complexity of software systems and the increasing adoption of agile methodologies and DevOps practices. Automated testing integration with continuous integration and deployment pipelines has transformed traditional testing approaches, enabling faster feedback loops and more reliable software delivery. While automated testing offers significant efficiency, coverage, and reliability benefits, it also presents challenges in test maintenance, environmental dependencies, and test stability. The advancement of artificial intelligence and machine learning technologies, coupled with improved test design patterns and enhanced testing tools, offers promising solutions to these challenges. Implementing strategic test selection, maintainable test architectures, and continuous monitoring practices provides a framework for successful test automation adoption.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-30
DOI
https://doi.org/10.5281/zenodo.17212090
Primary Topic
Aviation Industry Analysis and Trends
Type
article
Field-Weighted Citation Impact
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article

Automated testing in modern software development: navigating challenges and opportunities

Zenodo (CERN European Organization for Nuclear Research)
Aviation Industry Analysis and Trends
article

Automated testing in modern software development: navigating challenges and opportunities

article en

Abstract

Automated testing has become a cornerstone of modern software development, revolutionizing how organizations approach quality assurance and continuous delivery. This evolution reflects the growing complexity of software systems and the increasing adoption of agile methodologies and DevOps practices. Automated testing integration with continuous integration and deployment pipelines has transformed traditional testing approaches, enabling faster feedback loops and more reliable software delivery. While automated testing offers significant efficiency, coverage, and reliability benefits, it also presents challenges in test maintenance, environmental dependencies, and test stability. The advancement of artificial intelligence and machine learning technologies, coupled with improved test design patterns and enhanced testing tools, offers promising solutions to these challenges. Implementing strategic test selection, maintainable test architectures, and continuous monitoring practices provides a framework for successful test automation adoption.

Zenodo (CERN European Organization for Nuclear Research)
University of Central Missouri (US)
Openalex Percentile: Top 36%
Aviation Industry Analysis and Trends
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