Student Refactoring Behaviour in a Programming Tutor

Keuning, Hieke; Heeren, Bastiaan; Jeuring, Johan

doi:10.1145/3428029.3428043

“…Figure 1 summarizes the research project plan. For RQ1, we analyzed the dataset from Keuning et al's [6] experiment. This dataset contains program snapshots of students working on refactoring exercises from RPT.…”

Section: Methodsmentioning

confidence: 99%

“…In another study, Keuning et al [6] performed an experiment in which 133 students improved code of six programming exercises present in RPT. Their analysis include general aspects of student refactoring behavior when using the system, including the number of students who completed each exercise or asked for hints to solve a specific code quality issue.…”

mentioning

confidence: 99%

Investigating Student Errors in Code Refactoring

Oliveira

¹

2023

Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education v. 2

1

0

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Learning to develop code of good quality is challenging. One way to improve code quality is through code refactoring. Students make several mistakes when refactoring code. This research project aims to comprehend student errors in code refactoring, as well as to evaluate how the use of automated tools can help students remediate these errors. CCS CONCEPTS• Social and professional topics → Computing education; Software engineering education.

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“…Many works study the problems of students' code quality, analyzing large-scale datasets of student submissions to find certain common behaviors and patterns [8], [17]- [20], [29] and testing code quality tools on small groups of students [25], [30], [31]. The first group mostly focuses on Scratch and Java languages, and uses open datasets for their research [22], [23].…”

Section: Background a Code Quality Analysismentioning

confidence: 99%

Analyzing the Quality of Submissions in Online Programming Courses

Tigina¹,

Birillo²,

Golubev³

et al. 2023

Preprint

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Programming education should aim to provide students with a broad range of skills that they will later use while developing software. An important aspect in this is their ability to write code that is not only correct but also of high quality. Unfortunately, this is difficult to control in the setting of a massive open online course. In this paper, we carry out an analysis of the code quality of submissions from JetBrains Academy -a platform for studying programming in an industry-like project-based setting with an embedded code quality assessment tool called Hyperstyle. We analyzed more than a million Java submissions and more than 1.3 million Python submissions, studied the most prevalent types of code quality issues and the dynamics of how students fix them. We provide several case studies of different issues, as well as an analysis of why certain issues remain unfixed even after several attempts. Also, we studied abnormally long sequences of submissions, in which students attempted to fix code quality issues after passing the task. Our results point the way towards the improvement of online courses, such as making sure that the task itself does not incentivize students to write code poorly.

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“…Many works study the problems of students' code quality, analyzing large-scale datasets of student submissions to find certain common behaviors and patterns [8], [17]- [20], [29] and testing code quality tools on small groups of students [25], [30], [31]. The first group mostly focuses on Scratch and Java languages, and uses open datasets for their research [22], [23].…”

Section: Background a Code Quality Analysismentioning

confidence: 99%

Analyzing the Quality of Submissions in Online Programming Courses

Tigina¹,

Birillo²,

Golubev³

et al. 2023

2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering Education and Training (ICSE-SEET)

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Programming education should aim to provide students with a broad range of skills that they will later use while developing software. An important aspect in this is their ability to write code that is not only correct but also of high quality. Unfortunately, this is difficult to control in the setting of a massive open online course. In this paper, we carry out an analysis of the code quality of submissions from JetBrains Academy -a platform for studying programming in an industry-like project-based setting with an embedded code quality assessment tool called Hyperstyle. We analyzed more than a million Java submissions and more than 1.3 million Python submissions, studied the most prevalent types of code quality issues and the dynamics of how students fix them. We provide several case studies of different issues, as well as an analysis of why certain issues remain unfixed even after several attempts. Also, we studied abnormally long sequences of submissions, in which students attempted to fix code quality issues after passing the task. Our results point the way towards the improvement of online courses, such as making sure that the task itself does not incentivize students to write code poorly.

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Student Refactoring Behaviour in a Programming Tutor

Cited by 23 publications

References 33 publications

Investigating Student Errors in Code Refactoring

Investigating Student Errors in Code Refactoring

Analyzing the Quality of Submissions in Online Programming Courses

Analyzing the Quality of Submissions in Online Programming Courses

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