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Toward More Robust Automatic Analysis of Student Program Outputs for Assessment and Learning.

, , , , and . COMPSAC, page 780-785. IEEE Computer Society, (2016)

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An Experimental Prototype for Automatically Testing Student Programs using Token Patterns., , and . CSEDU (2), page 144-149. INSTICC Press, (2010)Accuracy Graphs of Spectrum-Based Fault Localization Formulas., , , and . IEEE Trans. Reliability, 66 (2): 403-424 (2017)ViDA: A virtual debugging advisor for supporting learning in computer programming courses., , , , and . J. Comput. Assist. Learn., 34 (3): 243-258 (2018)Extending the Theoretical Fault Localization Effectiveness Hierarchy with Empirical Results at Different Code Abstraction Levels., , and . COMPSAC, page 161-170. IEEE Computer Society, (2014)Automatic Assessment via Intelligent Analysis of Students' Program Output Patterns., , , , , and . ICBL, volume 10949 of Lecture Notes in Computer Science, page 238-250. Springer, (2018)Enhancing an automated system for assessment of student programs using the token pattern approach., , and . TALE, page 406-413. IEEE, (2017)An Exploratory Study on Instructors' Agreement on the Correctness of Computer Program Outputs., and . ICHL, volume 8038 of Lecture Notes in Computer Science, page 69-80. Springer, (2013)Toward More Robust Automatic Analysis of Student Program Outputs for Assessment and Learning., , , , and . COMPSAC, page 780-785. IEEE Computer Society, (2016)Theoretical, Weak and Strong Accuracy Graphs of Spectrum-Based Fault Localization Formulas., , and . COMPSAC (2), page 78-83. IEEE Computer Society, (2017)978-1-5386-0367-3.An automated system with a versatile test oracle for assessing student programs., , and . Comput. Appl. Eng. Educ., 31 (1): 176-199 (January 2023)