Methodology for Error Analysis and Localization in Web Application Testing

Meshkov Aleksandr

Methodology for Error Analysis and Localization in Web Application Testing

Meshkov Aleksandr | International Journal of Software Computing and Testing | Vol 11, Issue 02 | pp. 40-50 | ISSN: 2456-2351

Abstract

This article introduces a structured and systematic approach to analyzing and localizing errors in modern web applications through an in-depth examination of logs collected at multiple system levels. The proposed methodology emphasizes a clear, step-by-step analysis strategy that guides developers and testers in identifying the source of application failures with greater precision and efficiency. It combines theoretical principles with practical recommendations, offering detailed guidance on how to handle different categories of logs such as servers, applications, browser, and network logs. In addition, the study explores a wide range of tools used for log analysis – from traditional command-line utilities, like grep, awk, and tail, to advanced monitoring and visualization platforms such as ELK Stack, Prometheus, and Grafana. The methodology has been thoroughly tested on real-world case studies, demonstrating remarkable accuracy and efficiency in diagnosing web system malfunctions. Overall, this work provides a comprehensive framework for enhancing the reliability, maintainability, and overall performance of web-based systems through systematic log analysis and intelligent error localization.

Web application testing, log analysis, error localization, debugging, system administration, DevOps, testing methodology

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References

Vizard M. Survey: Fixing Bugs Stealing Time from Development. DevOps.com. 2021. Available from: https://devops.com/survey-fixing-bugs-stealing-time-from-development/.
IBM. Artificial Intelligence (AI) Solutions. IBM.com. 2025. Available at https://www.ibm.com/artificial-intelligence?utm_content=SRCWW&p1=Search&p4=443592258445&p5=p&p9=152774731386&gclsrc=aw.ds&gad_source=1&gad_campaignid=10064959085&gbraid=0AAAAAD-_QsTquZ9YS3bqAXqTeIuMZ0hqy&gclid=Cj0KCQjwmYzIBhC6ARIsAHA3IkSlkVbwnMx3okDdvgUv1iGooi19D9owYL6_kkLsavJ7bCM6AcIgD7saAvJzEALw_wcB.
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Hsu TH. Hands-On Security in DevOps: Ensure continuous security, deployment, and delivery with DevSecOps. Packt Publishing Ltd; 2018.
Shekhar A, Gupta R, Sharma SK. IBM Watson Health Growth Strategy: Is Artificial Intelligence (AI) the Answer? Commun Assoc Inf Syst. 2025;57(1):63.
Alam K, Mittal K, Roy B, Roy C. Developer challenges on large language models: A study of Stack Overflow and OpenAI Developer Forum posts. arXiv preprint arXiv:2411.10873. 2024.
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Tiwari VK, Dileep MR. An efficacy of artificial intelligence applications in healthcare systems: A bird view. Information and Communication Technology for Competitive Strategies (ICTCS 2022): Intelligent Strategies for ICT; 2023:649–59.

How to cite this article

APA

Aleksandr, M. (2025). Methodology for Error Analysis and Localization in Web Application Testing. International Journal of Software Computing and Testing, 11(02), 40-50.

MLA

Aleksandr, Meshkov. “Methodology for Error Analysis and Localization in Web Application Testing.” International Journal of Software Computing and Testing, vol. 11, no. 02, 2025, pp. 40-50.

Chicago

Meshkov Aleksandr. “Methodology for Error Analysis and Localization in Web Application Testing.” International Journal of Software Computing and Testing 11, no. 02 (2025): 40-50.

Vancouver

Aleksandr M. Methodology for Error Analysis and Localization in Web Application Testing. International Journal of Software Computing and Testing. 2025;11(02):40-50.

BibTeX

@article{AleksandrM2025,
author = {Meshkov Aleksandr},
title = {Methodology for Error Analysis and Localization in Web Application Testing},
journal = {International Journal of Software Computing and Testing},
year = {2025},
volume = {11},
number = {02},
pages = {40--50},
issn = {2456-2351},
url = {https://journalspub.com/publication/uncategorized/article=21894}
}

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Meshkov Aleksandr | International Journal of Software Computing and Testing | Vol 11, Issue 02 | pp. 40-50 | ISSN: 2456-2351

Abstract

Web application testing, log analysis, error localization, debugging, system administration, DevOps, testing methodology

🔒 This is a subscription article

Full text is available to subscribers and institutional members. Please choose an option below to access it.

Subscribe Purchase this article Institutional / Login access

References

Vizard M. Survey: Fixing Bugs Stealing Time from Development. DevOps.com. 2021. Available from: https://devops.com/survey-fixing-bugs-stealing-time-from-development/.
IBM. Artificial Intelligence (AI) Solutions. IBM.com. 2025. Available at https://www.ibm.com/artificial-intelligence?utm_content=SRCWW&p1=Search&p4=443592258445&p5=p&p9=152774731386&gclsrc=aw.ds&gad_source=1&gad_campaignid=10064959085&gbraid=0AAAAAD-_QsTquZ9YS3bqAXqTeIuMZ0hqy&gclid=Cj0KCQjwmYzIBhC6ARIsAHA3IkSlkVbwnMx3okDdvgUv1iGooi19D9owYL6_kkLsavJ7bCM6AcIgD7saAvJzEALw_wcB.
Son J, Kim B. Trend analysis of large language models through a developer community: A focus on Stack Overflow. Information. 2023;14(11):602.
Popof E, Illés Z. Impact of Artificial Intelligence on Programmers’ Willingness and Ability to Learn: Based on Stack Overflow Data from 2023 to 2024. In: The International Conference on Recent Innovations in Computing. 2024 Aug 22. p. 97–109. Singapore: Springer Nature Singapore.
Rymer J, Appian K. The Forrester Wave: Low-code development platforms for AD&D pros, Q4 2017. Cambridge (MA): Forrester Research; 2017. p. 120.
Hsu TH. Hands-On Security in DevOps: Ensure continuous security, deployment, and delivery with DevSecOps. Packt Publishing Ltd; 2018.
Shekhar A, Gupta R, Sharma SK. IBM Watson Health Growth Strategy: Is Artificial Intelligence (AI) the Answer? Commun Assoc Inf Syst. 2025;57(1):63.
Alam K, Mittal K, Roy B, Roy C. Developer challenges on large language models: A study of Stack Overflow and OpenAI Developer Forum posts. arXiv preprint arXiv:2411.10873. 2024.
Popof E, Illés Z. Impact of Artificial Intelligence on Programmers’ Willingness and Ability to Learn based on Stack. In: Proceedings of International Conference on Recent Innovations in Computing: ICRIC 2024. Springer Nature; 2025. Volume 3. p. 97.
Tiwari VK, Dileep MR. An efficacy of artificial intelligence applications in healthcare systems: A bird view. Information and Communication Technology for Competitive Strategies (ICTCS 2022): Intelligent Strategies for ICT; 2023:649–59.

How to cite this article

APA

Aleksandr, M. (2025). Methodology for Error Analysis and Localization in Web Application Testing. International Journal of Software Computing and Testing, 11(02), 40-50.

MLA

Aleksandr, Meshkov. “Methodology for Error Analysis and Localization in Web Application Testing.” International Journal of Software Computing and Testing, vol. 11, no. 02, 2025, pp. 40-50.

Chicago

Meshkov Aleksandr. “Methodology for Error Analysis and Localization in Web Application Testing.” International Journal of Software Computing and Testing 11, no. 02 (2025): 40-50.

Vancouver

Aleksandr M. Methodology for Error Analysis and Localization in Web Application Testing. International Journal of Software Computing and Testing. 2025;11(02):40-50.

BibTeX

@article{AleksandrM2025,
author = {Meshkov Aleksandr},
title = {Methodology for Error Analysis and Localization in Web Application Testing},
journal = {International Journal of Software Computing and Testing},
year = {2025},
volume = {11},
number = {02},
pages = {40--50},
issn = {2456-2351},
url = {https://journalspub.com/publication/uncategorized/article=21894}
}

Meshkov Aleksandr | International Journal of Software Computing and Testing | Vol 11, Issue 02 | pp. 40-50 | ISSN: 2456-2351

Abstract

Web application testing, log analysis, error localization, debugging, system administration, DevOps, testing methodology

🔒 This is a subscription article

Full text is available to subscribers and institutional members. Please choose an option below to access it.

Subscribe Purchase this article Institutional / Login access

References

Vizard M. Survey: Fixing Bugs Stealing Time from Development. DevOps.com. 2021. Available from: https://devops.com/survey-fixing-bugs-stealing-time-from-development/.
IBM. Artificial Intelligence (AI) Solutions. IBM.com. 2025. Available at https://www.ibm.com/artificial-intelligence?utm_content=SRCWW&p1=Search&p4=443592258445&p5=p&p9=152774731386&gclsrc=aw.ds&gad_source=1&gad_campaignid=10064959085&gbraid=0AAAAAD-_QsTquZ9YS3bqAXqTeIuMZ0hqy&gclid=Cj0KCQjwmYzIBhC6ARIsAHA3IkSlkVbwnMx3okDdvgUv1iGooi19D9owYL6_kkLsavJ7bCM6AcIgD7saAvJzEALw_wcB.
Son J, Kim B. Trend analysis of large language models through a developer community: A focus on Stack Overflow. Information. 2023;14(11):602.
Popof E, Illés Z. Impact of Artificial Intelligence on Programmers’ Willingness and Ability to Learn: Based on Stack Overflow Data from 2023 to 2024. In: The International Conference on Recent Innovations in Computing. 2024 Aug 22. p. 97–109. Singapore: Springer Nature Singapore.
Rymer J, Appian K. The Forrester Wave: Low-code development platforms for AD&D pros, Q4 2017. Cambridge (MA): Forrester Research; 2017. p. 120.
Hsu TH. Hands-On Security in DevOps: Ensure continuous security, deployment, and delivery with DevSecOps. Packt Publishing Ltd; 2018.
Shekhar A, Gupta R, Sharma SK. IBM Watson Health Growth Strategy: Is Artificial Intelligence (AI) the Answer? Commun Assoc Inf Syst. 2025;57(1):63.
Alam K, Mittal K, Roy B, Roy C. Developer challenges on large language models: A study of Stack Overflow and OpenAI Developer Forum posts. arXiv preprint arXiv:2411.10873. 2024.
Popof E, Illés Z. Impact of Artificial Intelligence on Programmers’ Willingness and Ability to Learn based on Stack. In: Proceedings of International Conference on Recent Innovations in Computing: ICRIC 2024. Springer Nature; 2025. Volume 3. p. 97.
Tiwari VK, Dileep MR. An efficacy of artificial intelligence applications in healthcare systems: A bird view. Information and Communication Technology for Competitive Strategies (ICTCS 2022): Intelligent Strategies for ICT; 2023:649–59.

How to cite this article

APA

Aleksandr, M. (2025). Methodology for Error Analysis and Localization in Web Application Testing. International Journal of Software Computing and Testing, 11(02), 40-50.

MLA

Aleksandr, Meshkov. “Methodology for Error Analysis and Localization in Web Application Testing.” International Journal of Software Computing and Testing, vol. 11, no. 02, 2025, pp. 40-50.

Chicago

Meshkov Aleksandr. “Methodology for Error Analysis and Localization in Web Application Testing.” International Journal of Software Computing and Testing 11, no. 02 (2025): 40-50.

Vancouver

Aleksandr M. Methodology for Error Analysis and Localization in Web Application Testing. International Journal of Software Computing and Testing. 2025;11(02):40-50.

BibTeX

@article{AleksandrM2025,
author = {Meshkov Aleksandr},
title = {Methodology for Error Analysis and Localization in Web Application Testing},
journal = {International Journal of Software Computing and Testing},
year = {2025},
volume = {11},
number = {02},
pages = {40--50},
issn = {2456-2351},
url = {https://journalspub.com/publication/uncategorized/article=21894}
}

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