research-article

Empirical Studies of Programming Knowledge

Authors:

Elliot Soloway,

Kate EhrlichAuthors Info & Claims

IEEE Transactions on Software Engineering, Volume 10, Issue 5

Pages 595 - 609

https://doi.org/10.1109/TSE.1984.5010283

Published: 01 September 1984 Publication History

Abstract

We suggest that expert programmers have and use two types of programming knowledge: 1) programming plans, which are generic program fragments that represent stereotypic action sequences in programming, and 2) rules of programming discourse, which capture the conventions in programming and govern the composition of the plans into programs. We report here on two empirical studies that attempt to evaluate the above hypothesis. Results from these studies do in fact support our claim.

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Hickman HBell T(2024)Automated Assessment: Does It Align With Teachers' Views?Proceedings of the 19th WiPSCE Conference on Primary and Secondary Computing Education Research10.1145/3677619.3678113(1-10)Online publication date: 16-Sep-2024
https://dl.acm.org/doi/10.1145/3677619.3678113
Allen JKelleher CGraziotin DNolte A(2024)An Exploratory Study of Programmers' Analogical Reasoning and Software History Usage During Code Re-PurposingProceedings of the 2024 IEEE/ACM 17th International Conference on Cooperative and Human Aspects of Software Engineering10.1145/3641822.3641864(109-120)Online publication date: 14-Apr-2024
https://dl.acm.org/doi/10.1145/3641822.3641864
Demirtaş MFowler MHu NCunningham K(2024)Validating, Refining, and Identifying Programming Plans Using Learning Curve Analysis on Code Writing DataProceedings of the 2024 ACM Conference on International Computing Education Research - Volume 110.1145/3632620.3671120(263-279)Online publication date: 12-Aug-2024
https://dl.acm.org/doi/10.1145/3632620.3671120
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cover image IEEE Transactions on Software Engineering

IEEE Transactions on Software Engineering Volume 10, Issue 5

September 1984

141 pages

ISSN:0098-5589

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IEEE Press

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Published: 01 September 1984

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Hickman HBell T(2024)Automated Assessment: Does It Align With Teachers' Views?Proceedings of the 19th WiPSCE Conference on Primary and Secondary Computing Education Research10.1145/3677619.3678113(1-10)Online publication date: 16-Sep-2024
https://dl.acm.org/doi/10.1145/3677619.3678113
Allen JKelleher CGraziotin DNolte A(2024)An Exploratory Study of Programmers' Analogical Reasoning and Software History Usage During Code Re-PurposingProceedings of the 2024 IEEE/ACM 17th International Conference on Cooperative and Human Aspects of Software Engineering10.1145/3641822.3641864(109-120)Online publication date: 14-Apr-2024
https://dl.acm.org/doi/10.1145/3641822.3641864
Demirtaş MFowler MHu NCunningham K(2024)Validating, Refining, and Identifying Programming Plans Using Learning Curve Analysis on Code Writing DataProceedings of the 2024 ACM Conference on International Computing Education Research - Volume 110.1145/3632620.3671120(263-279)Online publication date: 12-Aug-2024
https://dl.acm.org/doi/10.1145/3632620.3671120
Yan LHwang AWu ZHead A(2024)Ivie: Lightweight Anchored Explanations of Just-Generated CodeProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642239(1-15)Online publication date: 11-May-2024
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Zhang ZXing ZZhao DLu QXu XZhu LRoychoudhury APaiva AAbreu RStorey M(2024)Hard to Read and Understand Pythonic Idioms? DeIdiom and Explain Them in Non-Idiomatic Equivalent CodeProceedings of the IEEE/ACM 46th International Conference on Software Engineering10.1145/3597503.3639101(1-12)Online publication date: 20-May-2024
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Cheng GZou DXie HWang F(2024)Exploring differences in self-regulated learning strategy use between high- and low-performing students in introductory programmingComputers & Education10.1016/j.compedu.2023.104948208:COnline publication date: 1-Jan-2024
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Akçay AAltun A(2024)The investigation of human attention networks on debugging performanceEducation and Information Technologies10.1007/s10639-023-11955-729:3(2679-2695)Online publication date: 1-Feb-2024
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Pan WKessentini MMing HYang Z(2023)EASE: An Effort-aware Extension of Unsupervised Key Class Identification ApproachesACM Transactions on Software Engineering and Methodology10.1145/363571433:4(1-43)Online publication date: 2-Dec-2023
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Mansoor NPeterson CDodd MSharif B(2023)Assessing the Effect of Programming Language and Task Type on Eye Movements of Computer Science StudentsACM Transactions on Computing Education10.1145/363253024:1(1-38)Online publication date: 14-Nov-2023
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Wyrich MBogner JWagner S(2023)40 Years of Designing Code Comprehension Experiments: A Systematic Mapping StudyACM Computing Surveys10.1145/362652256:4(1-42)Online publication date: 9-Nov-2023
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Empirical study of novice programming with plans and objects

Empirical study of novice programming with plans and objects

A Multiparadigm Programming Approach for Developing Knowledge-Based Systems

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