Designing a rubric for feedback on code quality in programming courses

Stegeman, Martijn; Barendsen, Erik; Smetsers, Sjaak

doi:10.1145/2999541.2999555

Cited by 47 publications

(28 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…. Stegeman et al [11] have developed a rubric for assessing code quality, based on their research into professional code quality standards from the software engineering literature and interviews with instructors. The rubric is based on a model with ten categories for code quality.…”

Section: Issues (Rq1)mentioning

confidence: 99%

See 1 more Smart Citation

Code Quality Issues in Student Programs

Keuning

Heeren

Jeuring

2017

Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education

View full text Add to dashboard Cite

Because low quality code can cause serious problems in software systems, students learning to program should pay attention to code quality early. Although many studies have investigated mistakes that students make during programming, we do not know much about the quality of their code. This study examines the presence of quality issues related to program ow, choice of programming constructs and functions, clarity of expressions, decomposition and modularization in a large set of student Java programs. We investigated which issues occur most frequently, if students are able to solve these issues over time and if the use of code analysis tools has an e ect on issue occurrence. We found that students hardly x issues, in particular issues related to modularization, and that the use of tooling does not have much e ect on the occurrence of issues.

show abstract

Section: Issues (Rq1)mentioning

confidence: 99%

“…In fact, they might not even be aware of it. Code quality can be related to documentation, presentation, algorithms and structure [11]. Fowler [7] uses the term 'code smells' to describe issues related to algorithms and structure that jeopardise code quality.…”

Section: Introductionmentioning

confidence: 99%

Code Quality Issues in Student Programs

Keuning

Heeren

Jeuring

2017

Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education

View full text Add to dashboard Cite

show abstract

“…Crafting rubrics tailored to specific assignments may be time-consuming [4,6]. For example, to design a reliable rubric for a programming assignment, Stegeman iterated a candidate rubric through several stages of review and grading by multiple instructors until enough detail could be incorporated [21]. Examples in the Physics (e.g.…”

Section: Background and Related Workmentioning

confidence: 99%

Adaptive Rubrics

Carmosino

Minnes

2020

Proceedings of the 51st ACM Technical Symposium on Computer Science Education

View full text Add to dashboard Cite

Grading is a notoriously difficult and time-consuming part of teaching. For open-ended programming, mathematical, or design problems, assigning consistent scores and giving useful feedback can be very challenging. Large classes compound this difficulty. Adding TAs to the team can help parallelize the process but may impede grading consistency and quality. We present an adaptive rubric creation and application process to enable high-quality responses to student work, at scale. This process uses exploratory data analysis to discover common patterns in student responses to a problem, then tailors a rubric and feedback to address these patterns. Our method is supported by current grading tools, which allow calculation of the simple population-level statistics we need to extract meaningful features from a corpus of student work. In this case study, we describe using adaptive rubrics for a discrete math class for CS majors: the grading team found that this process produced concrete and transparent justifications of student scores and that it facilitated conversations around grading that were grounded in course learning objectives and values. CCS CONCEPTS • Social and professional topics → Student assessment; • Applied computing → Learning management systems;

show abstract

“…Stegeman et al [30,31] analyzed normative statements about code quality from three popular texts on software development and compiled them into a set of 20 quality aspects. Furthermore, they interviewed three teachers based on a programming assignment, using this set of quality aspects.…”

Section: Related Workmentioning

confidence: 99%

"I know it when I see it"

Börstler

Störrle²,

Toll

et al. 2017

Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education

View full text Add to dashboard Cite

Context. Code quality is a key issue in software development. The ability to develop high quality software is therefore a key learning goal of computing programs. However, there are no universally accepted measures to assess the quality of code and current standards are considered weak. Furthermore, there are many facets to code quality. De ning and explaining the concept of code quality is therefore a challenge faced by many educators. Objectives. In this working group, we investigated code quality as perceived by students, educators, and professional developers, in particular, the di erences in their views of code quality and which quality aspects they consider as more or less important. Furthermore, we investigated their sources for information about code quality and its assessment. Methods. We interviewed 34 students, educators and professional developers regarding their perceptions of code quality. For the interviews they brought along code from their own experience to discuss and exemplify code quality.

show abstract

Designing a rubric for feedback on code quality in programming courses

Cited by 47 publications

References 20 publications

Code Quality Issues in Student Programs

Code Quality Issues in Student Programs

Adaptive Rubrics

"I know it when I see it"

Contact Info

Product

Resources

About