In today’s technology-driven world, there is a growing interest in leveraging Artificial Intelligence (AI) to streamline software testing processes. Our research delves into GUI-based testing, a prominent technique for verifying software functionality. Preliminary findings from our industrial survey of 45 respondents provide insights into the use of AI in GUI-based software testing. The survey aims to understand how AI supports GUI-based testing, the AI techniques and tools used, and the perceived advantages and limitations. The collected results suggest a diffuse yet superficial utilization of AI-based mechanisms among GUI-based testers. Practitioners often employ AI techniques in a technology-agnostic way, treating commercial tools as black boxes. These findings underscore the need for additional research aimed at gaining a deeper understanding of the AI techniques and tools employed in industry and their intended purposes.
AI in GUI-Based Software Testing: Insights from a Survey with Industrial Practitioners / Amalfitano, Domenico; Coppola, Riccardo; Distante, Damiano; Ricca, Filippo. - 2178:(2024), pp. 328-343. (Intervento presentato al convegno 17th International Conference on the Quality of Information and Communications Technology, QUATIC 2024 tenutosi a Pisa (ITA) nel September 11–13, 2024) [10.1007/978-3-031-70245-7_23].
AI in GUI-Based Software Testing: Insights from a Survey with Industrial Practitioners
Coppola, Riccardo;Ricca, Filippo
2024
Abstract
In today’s technology-driven world, there is a growing interest in leveraging Artificial Intelligence (AI) to streamline software testing processes. Our research delves into GUI-based testing, a prominent technique for verifying software functionality. Preliminary findings from our industrial survey of 45 respondents provide insights into the use of AI in GUI-based software testing. The survey aims to understand how AI supports GUI-based testing, the AI techniques and tools used, and the perceived advantages and limitations. The collected results suggest a diffuse yet superficial utilization of AI-based mechanisms among GUI-based testers. Practitioners often employ AI techniques in a technology-agnostic way, treating commercial tools as black boxes. These findings underscore the need for additional research aimed at gaining a deeper understanding of the AI techniques and tools employed in industry and their intended purposes.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2992903