Analysis of typical programming mistakes made by first and second year IT students

Monika Kaczorowska

m.kaczorowska@pollub.pl
Politechnika Lubelska (Poland)

Abstract

The research paper contains a review and analysis of common programming mistakes made by first and second year students of Computer Science. The data were collected during the courses entitled “Algorithmics and Data Structures” and “Numerical Methods”, where students have to write programs in the C++ language. The article includes examples of three selected mistake types. A comparison of mistakes made by first and second year students is presented. The analysis carried out shows that the percentage of mistakes made decreases when the students are in the second year, but three types of mistakes demonstrate the opposite trend. It can be concluded that those three types of mistakes are related to the course of Numerical Methods, where students have to deal with a significant amount of mathematical expressions. The results show that the students have the most significant problems with memory management.


Keywords:

programming mistakes; C ; education

E. Soloway, S. Iyengar, editors, Empirical Studies of Programmers: Papers Presented at the First Workshop on Empirical Studies of Programmers, Intellect Books (1986).
DOI: https://doi.org/10.1145/382298.382366   Google Scholar

M. C. Jadud. Methods and tools for exploring novice compilation behaviour. In Proceedings of the Second International Workshop on Computing Education Research, ICER ’06, New York, NY, USA (2006) 73-84.
DOI: https://doi.org/10.1145/1151588.1151600   Google Scholar

P. Denny, A. Luxton-Reilly, E. Tempero, All syntax errors are not equal, In Proceedings of the 17th ACM Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE’12, New York, NY, USA (2012) 75-80.
DOI: https://doi.org/10.1145/2325296.2325318   Google Scholar

J. Jackson, M. Cobb, C. Carver, Identifying top Java errors for novice programmers, In Frontiers in Education, 2005. FIE ’05. Proceedings 35th Annual Conference (2005).
  Google Scholar

M. Hristova, A. Misra, M. Rutter, R. Mercuri, Identifying and correcting Java programming errors for introductory computer science students, In Proceedings of the 34th SIGCSE Technical Symposium on Computer Science Education, SIGCSE ’03, New York, NY, USA (2003) 153-156.
DOI: https://doi.org/10.1145/611892.611956   Google Scholar

T. Sirkiä, J. Sorva, Exploring programming misconceptions: an analysis of student mistakes in visual program simulation exercises, In Proceedings of the 12th Koli Calling International Conference on Computing Education Research (2012) 19-28.
  Google Scholar

N. C. C. Brown, M. Kölling, D. McCall, I. Utting. Blackbox, A large scale repository of novice programmers’ activity, In Proceedings of the 45thACM Technical Symposium on Computer Science Education, SIGCSE ’14, New York, NY, USA (2014) 223-228.
DOI: https://doi.org/10.1145/2538862.2538924   Google Scholar

A. Altadmri, N. C. Brown, 37 million compilations: Investigating novice programming mistakes in large-scale student data, In Proceedings of the 46th ACM Technical Symposium on Computer Science Education (2015)
DOI: https://doi.org/10.1145/2676723.2677258   Google Scholar

-527.
  Google Scholar

N. C. Brown, A. Altadmri, Investigating novice programming mistakes: educator beliefs vs. student data, In Proceedings of the tenth annual conference on International computing education research (2014) 43-50.
DOI: https://doi.org/10.1145/2632320.2632343   Google Scholar

A. Ahadi, R. Lister, S. Lal, A. Hellas, Learning programming, syntax errors and institution-specific factors, In Proceedings of the 20th Australasian computing education conference (2018) 90-96.
DOI: https://doi.org/10.1145/3160489.3160490   Google Scholar

N. C. Brown, A. Altadmri, Novice Java programming mistakes: Large-scale data vs. educator beliefs, ACM Transactions on Computing Education (TOCE), 17(2) (2017) 1-21.
  Google Scholar

Š. Hubálovský, J. Šedivý, Mistakes in object oriented programming, Zeszyty Naukowe Wydziału ETI Politechniki Gdańskiej, Technologie Informacyjne, 18, (2010) 205-210.
  Google Scholar

M. Süß, C. Leopold, Common mistakes in OpenMP and how to avoid them, In International Workshop on OpenMP, Springer, Berlin, Heidelberg (2005) 312-323.
DOI: https://doi.org/10.1007/978-3-540-68555-5_26   Google Scholar

A. S. Júnior, J. C. A. de Figueiredo, D. Serey, Analyzing the Impact of Programming Mistakes on Students' Programming Abilities, In Brazilian Symposium on Computers in Education, vol. 30, No. 1, (2019) 369.
  Google Scholar

S. Andreas, S. Susanna, An Empirical Investigation into Programming Language Syntax. Trans. Comput. Educ. 13, 4, Article 19 (2013).
DOI: https://doi.org/10.1145/2534973   Google Scholar

H. Keuning, J. Jeuring, B. Heeren, A systematic literature review of automated feedback generation for programming exercises. ACM Transactions on Computing Education (TOCE), 19(1) (2018) 1-43.
DOI: https://doi.org/10.1145/3231711   Google Scholar

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Published
2020-06-30

Cited by

Kaczorowska, M. (2020). Analysis of typical programming mistakes made by first and second year IT students. Journal of Computer Sciences Institute, 15, 202–205. https://doi.org/10.35784/jcsi.1681

Authors

Monika Kaczorowska 
m.kaczorowska@pollub.pl
Politechnika Lubelska Poland

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