Balancing Automation with Human Expertise in Exploratory Testing and Edge-Case Analysis

Nusrat Yasmin Nadia, Mohammed Majid Bakhsh and Gazi Touhidul Alam
Additional contact information
Nusrat Yasmin Nadia: Master of Science in Information Technology, Washington University of Science & Technology (WUST), Alexandria, Virginia, USA
Mohammed Majid Bakhsh: Master of Science in Information Technology, Washington University of Science & Technology (WUST), Alexandria, Virginia, USA
Gazi Touhidul Alam: Master of Science in Business Analytics, Trine University, Allen Park, MI, USA

International Journal of Latest Technology in Engineering, Management & Applied Science, 2025, vol. 14, issue 2, 302-313

Abstract: Software systems requiring complex testing benefit greatly from both exploratory testing and edge-case analysis because these methods reveal defects that automated testing would miss. The growing use of automation to quicken testing operations requires organizations to achieve proper equilibrium between automated tools and skilled human labor. This document examines how machine testing benefits from human involvement to perform exploratory testing and identify any hidden edge-case situations. The advantage of automation tools lies in their ability to deliver both speed and uniformity but they struggle to replicate essential human capabilities which help recognize hidden issues in unusual circumstances (Baresi et al., 2022). Human testers have a strong ability to detect stealthy defects yet their testing capabilities face challenges in achieving complete scalability and coverage (Smith & Zhang, 2021). This paper evaluates the difficulties and advantages of uniting automated testing solutions with people-driven exploratory testing during edge-case scenario analysis. The combination of automated testing and human tester intervention represents the best approach according to current industry practices since automation performs repetitive tasks and human testers handle critical thinking tasks and pattern recognition with defect discovery responsibilities (Carver et al., 2023). Our research develops a framework to merge automated and manual testing methods and it examines AI exploratory testing solutions and human-assisted automated testing environments for future development. Organizations need to completely evaluate their testing methods so they can combine automated functions with human cognition properly for enhanced testing methodology (Jain & Singh, 2020).

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.ijltemas.in/DigitalLibrary/Vol.14Issue2/302-313.pdf (application/pdf)
https://www.ijltemas.in/papers/volume-14-issue-2/302-313.html (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bjb:journl:v:14:y:2025:i:2:p:302-313

Access Statistics for this article

International Journal of Latest Technology in Engineering, Management & Applied Science is currently edited by Dr. Pawan Verma

More articles in International Journal of Latest Technology in Engineering, Management & Applied Science from International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS)
Bibliographic data for series maintained by Dr. Pawan Verma ().