The DOI matches its Crossref record; 84 of the 84 references it cites were found in a registry or an index.
An Empirical Investigation into Programming Language Syntax
Abstract
Recent studies in the literature have shown that syntax remains a significant barrier to novice computer science students in the field. While this syntax barrier is known to exist, whether and how it varies across programming languages has not been carefully investigated. For this article, we conducted four empirical studies on programming language syntax as part of a larger analysis into the, so called, programming language wars. We first present two surveys conducted with students on the intuitiveness of syntax, which we used to garner formative clues on what words and symbols might be easy for novices to understand. We followed up with two studies on the accuracy rates of novices using a total of six programming languages: Ruby, Java, Perl, Python, Randomo, and Quorum. Randomo was designed by randomly choosing some keywords from the ASCII table (a metaphorical placebo). To our surprise, we found that languages using a more traditional C-style syntax (both Perl and Java) did not afford accuracy rates significantly higher than a language with randomly generated keywords, but that languages which deviate (Quorum, Python, and Ruby) did. These results, including the specifics of syntax that are particularly problematic for novices, may help teachers of introductory programming courses in choosing appropriate first languages and in helping students to overcome the challenges they face with syntax.
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“Instructors report that they spend a considerable amount of time helping novices with these often cryptic messages [15,31,32,37].”
From Using Large Language Models to Enhance Programming Error Messages (2023) · cites this paper as [37]
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Metadata
- Authors
- Stefik, A., & Siebert, S.
- Affiliations
- University of Nevada, Las Vegas (US)
- Washington University in St. Louis (US)
- ORCID
- Stefik, Andreas
- Venue
- ACM Transactions on Computing Education
- Published
- 2013-11
- Volume
- 13
- Issue
- 4
- Pages
- 1-40
- ISSN
- 1946-6226 (ISSN-L)
- OpenAlex
- W2157148654
- Cited by
- 295
- References
- 84
- Citations by year
- 2026: 14 · 2025: 13 · 2024: 21 · 2023: 19 · 2022: 19 · 2021: 19 · 2020: 34 · 2019: 60 · 2018: 23 · 2017: 22 · 2016: 17 · 2015: 16 · 2014: 15 · 2013: 2
- FWCI
- 25.18
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- ACM Transactions on Computing Education (publishedVersion)
- Funders
- Division of Computer and Network Systems (CNS-0940521)
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Teaching and Learning Programming
- Physical Sciences › Computer Science › Software › Logic, programming, and type systems
- Physical Sciences › Computer Science › Information Systems › Software Engineering Research
- Keywords
- programming language syntax, novice programmers, quorum, Python, ruby, Java, Perl, introductory programming
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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