Mining on Students' Execution Logs and Repairing Compilation Errors Based on Deep Learning
R Shi, J Hu, B Lin - Applied Sciences, 2023 - mdpi.com
Automatic program repair techniques based on deep neural networks have attracted
widespread attention from researchers due to the high degree of automation and generality …
widespread attention from researchers due to the high degree of automation and generality …
Using Compiler Errors Messages to Feedback High School Students Through Machine Learning Methods
VGR Martínez, MQ López, AL Chau… - … Conference on Artificial …, 2023 - Springer
Teaching programming is essential for science and technology development in any country.
Studies indicate high failure rates in programming subjects, which often lead to frustration or …
Studies indicate high failure rates in programming subjects, which often lead to frustration or …
MODELO PREDICTIVO BASADO EN ERRORES DE COMPILACIÓN PARA EL APRENDIZAJE DE PROGRAMACIÓN EN C
VG Rivero Martínez - ri.uaemex.mx
Hoy en día, los cursos de programación son fundamentales en el nivel universitario porque
permiten a los estudiantes desarrollar las competencias para aplicar o crear nuevas …
permiten a los estudiantes desarrollar las competencias para aplicar o crear nuevas …
[引用][C] Optimizing Mutation-based Fault Localization through Contribution-based Test Case Reduction
H Wang, K Yang, T Wu - International Journal of Software …, 2024 - World Scientific
Fault localization is an expensive phase of software debugging processes. Although
Mutation-based Fault Localization (MBFL) is a promising technique, its computational cost …
Mutation-based Fault Localization (MBFL) is a promising technique, its computational cost …