AI Testing for Intelligent Chatbots—A Case Study
The decision tree test method works as a flowchart structure for conversational flow. It has predetermined questions and answers that guide the user through specific tasks. Inspired by principles of the decision tree test method in software engineering, this paper discusses intelligent AI test model...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-05-01
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| Series: | Software |
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| Online Access: | https://www.mdpi.com/2674-113X/4/2/12 |
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| author | Jerry Gao Radhika Agarwal Prerna Garsole |
| author_facet | Jerry Gao Radhika Agarwal Prerna Garsole |
| author_sort | Jerry Gao |
| collection | DOAJ |
| description | The decision tree test method works as a flowchart structure for conversational flow. It has predetermined questions and answers that guide the user through specific tasks. Inspired by principles of the decision tree test method in software engineering, this paper discusses intelligent AI test modeling chat systems, including basic concepts, quality validation, test generation and augmentation, testing scopes, approaches, and needs. The paper’s novelty lies in an intelligent AI test modeling chatbot system built and implemented based on an innovative 3-dimensional AI test model for AI-powered functions in intelligent mobile apps to support model-based AI function testing, test data generation, and adequate test coverage result analysis. As a result, a case study is provided using a mental health and emotional intelligence chatbot system, Wysa. It helps in tracking and analyzing mood and helps in sentiment analysis. |
| format | Article |
| id | doaj-art-6af435f4ca0545758768de27dbb05df6 |
| institution | Kabale University |
| issn | 2674-113X |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Software |
| spelling | doaj-art-6af435f4ca0545758768de27dbb05df62025-08-20T03:26:55ZengMDPI AGSoftware2674-113X2025-05-01421210.3390/software4020012AI Testing for Intelligent Chatbots—A Case StudyJerry Gao0Radhika Agarwal1Prerna Garsole2Department of Computer Engineering, College of Engineering, San Jose State University, San Jose, CA 95192, USAALPSTouchStone, Inc., San Jose, CA 95134, USADepartment of Computer Engineering, College of Engineering, San Jose State University, San Jose, CA 95192, USAThe decision tree test method works as a flowchart structure for conversational flow. It has predetermined questions and answers that guide the user through specific tasks. Inspired by principles of the decision tree test method in software engineering, this paper discusses intelligent AI test modeling chat systems, including basic concepts, quality validation, test generation and augmentation, testing scopes, approaches, and needs. The paper’s novelty lies in an intelligent AI test modeling chatbot system built and implemented based on an innovative 3-dimensional AI test model for AI-powered functions in intelligent mobile apps to support model-based AI function testing, test data generation, and adequate test coverage result analysis. As a result, a case study is provided using a mental health and emotional intelligence chatbot system, Wysa. It helps in tracking and analyzing mood and helps in sentiment analysis.https://www.mdpi.com/2674-113X/4/2/12chatbotssmart AI chat system testing3D intelligent chat test modelingtest generationdata augmentationAI test result validation |
| spellingShingle | Jerry Gao Radhika Agarwal Prerna Garsole AI Testing for Intelligent Chatbots—A Case Study Software chatbots smart AI chat system testing 3D intelligent chat test modeling test generation data augmentation AI test result validation |
| title | AI Testing for Intelligent Chatbots—A Case Study |
| title_full | AI Testing for Intelligent Chatbots—A Case Study |
| title_fullStr | AI Testing for Intelligent Chatbots—A Case Study |
| title_full_unstemmed | AI Testing for Intelligent Chatbots—A Case Study |
| title_short | AI Testing for Intelligent Chatbots—A Case Study |
| title_sort | ai testing for intelligent chatbots a case study |
| topic | chatbots smart AI chat system testing 3D intelligent chat test modeling test generation data augmentation AI test result validation |
| url | https://www.mdpi.com/2674-113X/4/2/12 |
| work_keys_str_mv | AT jerrygao aitestingforintelligentchatbotsacasestudy AT radhikaagarwal aitestingforintelligentchatbotsacasestudy AT prernagarsole aitestingforintelligentchatbotsacasestudy |