7 citations · 7 across the 5 of their papers we have counts for
5 papers · 1 filter
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…
Test Case Generation for Dialogflow Task-Based Chatbots
Rocco Gianni Rapisarda, Davide Ginelli, Diego Clerissi +1
Chatbots are software typically embedded in Web and Mobile applications designed to assist the user in a plethora of activities, from chit-chatting to task completion. They enable…
MutaBot: A Mutation Testing Approach for Chatbots
Michael Ferdinando Urrico, Diego Clerissi, Leonardo Mariani
Mutation testing is a technique aimed at assessing the effectiveness of test suites by seeding artificial faults into programs. Although available for many platforms and languages,…