7 citations · 7 across the 9 of their papers we have counts for
9 papers
A Model-based Testing Technique for Amazon Lex Task-based Chatbots
Diego Clerissi, Alessandro Vasina, Leonardo Mariani
Task-based chatbots are nowadays widely adopted software systems, usually integrated into real-world applications and communication channels, designed to assist users in completing…
Automated Testing of Task-based Chatbots: How Far Are We?
Diego Clerissi, Elena Masserini, Daniela Micucci +1
Task-based chatbots are software, typically embedded in real-world applications, that assist users in completing tasks through a conversational interface. As chatbots are gaining p…
Assessing Task-based Chatbots: Snapshot and Curated Datasets for Dialogflow
Elena Masserini, Diego Clerissi, Daniela Micucci +1
In recent years, chatbots have gained widespread adoption thanks to their ability to assist users at any time and across diverse domains. However, the lack of large-scale curated d…
Towards Multi-Platform Mutation Testing of Task-based Chatbots
Diego Clerissi, Elena Masserini, Daniela Micucci +1
Chatbots, also known as conversational agents, have become ubiquitous, offering services for a multitude of domains. Unlike general-purpose chatbots, task-based chatbots are softwa…
Towards the Assessment of Task-based Chatbots: From the TOFU-R Snapshot to the BRASATO Curated Dataset
Elena Masserini, Diego Clerissi, Daniela Micucci +2
Task-based chatbots are increasingly being used to deliver real services, yet assessing their reliability, security, and robustness remains underexplored, also due to the lack of l…
TESTQUEST: A Web Gamification Tool to Improve Locators and Page Objects Quality
Dario Olianas, Diego Clerissi, Maurizio Leotta +1
Web applications play a crucial role in our daily lives, making it essential to employ testing methods that ensure their quality. Typically, Web testing automation frameworks rely…