Publication Type : Book Chapter
Publisher : Springer, Singapore
Source : In: Sharma H., Gupta M.K., Tomar G.S., Lipo W. (eds) Communication and Intelligent Systems. Lecture Notes in Networks and Systems, vol 204. Springer, Singapore. https://doi.org/10.1007/978-981-16-1089-9_41
Url : https://link.springer.com/chapter/10.1007/978-981-16-1089-9_41
Campus : Kochi
School : School of Computing
Department : Computer Science
Year : 2021
Abstract : In recent years, most of the students registered in computer science courses are confronted with the difficulty in computer programming. This is a serious concern for educators and the students. So there is a critical need to analyze the factors influencing the same. Meanwhile, many investigations have been conducted in analyzing the programming skill, and more importantly, their studies focused on marks secured in various science subjects, prior programming experience, reasoning ability, etc. But the analysis of programming behavior in the current study is focused mainly on patterns generated by the students after the compilation. Furthermore, the relationship between debugging capability and hit rate with academic performance was analyzed. Methods like correlation and regression are adopted for analyzing these factors. It is observed that the debugging skill of the students and their hit rate has an upper hand in determining the programming skill compared to the marks secured in the examinations.
Cite this Research Publication : Mohan S., Vimina E.R. (June 2021), "An Exploratory Analysis and Prediction of Factors Influencing the Debugging Behavior of Computer Science Students". In: Sharma H., Gupta M.K., Tomar G.S., Lipo W. (eds) Communication and Intelligent Systems. Lecture Notes in Networks and Systems, vol 204. Springer, Singapore. https://doi.org/10.1007/978-981-16-1089-9_41