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2010
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BAUT: A Bayesian Driven Tutoring System

9 years 4 months ago
BAUT: A Bayesian Driven Tutoring System
—This paper presents the design of BAUT, a tutoring system that explores statistical approach for providing instant project failure analysis. Driven by a Bayesian Network (BN) inference engine, BAUT analyzes the test cases failed by a student project submission and provides instant diagnosis that guides students in identifying and removing software bugs. Using a parameter learning process, BAUT is able to improve the quality of its analysis. The initial case study with the prototype demonstrates the potential of the system. Keywords-Bayesian Network; Automated Tutoring; Verification; Testing; Web Application.
Song Tan, Kai Qian, Xiang Fu, Prabir Bhattacharya
Added 10 Jul 2010
Updated 10 Jul 2010
Type Conference
Year 2010
Where ITNG
Authors Song Tan, Kai Qian, Xiang Fu, Prabir Bhattacharya
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