Leveraging LLMs for Generation of Unusual Text Inputs in Mobile App Tests: Abstract and Introduction

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Using InputBlaster, a novel approach in leveraging LLMs for automated generation of diverse text inputs in mobile app testing.

This paper is under CC 4.0 license.

Android GUI testing, Large language model, In-context learning 1 INTRODUCTION Mobile applications have become an indispensable component of our daily lives, enabling instant access to a myriad of services, information, and communication platforms. The increasing reliance on these applications necessitates a high standard of quality and performance to ensure user satisfaction and maintain a competitive edge in the fast-paced digital landscape.

 

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