Segments: An alternative rainfall problem

IF 1.1 3区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING
P. Achten
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引用次数: 2

Abstract

Abstract Elliot Soloway’s Rainfall problem is a well-known and well-studied problem to investigate the problem-solving strategies of programmers. Kathi Fisler investigated this programming challenge from the point of view of functional programmers. She showed that this particular challenge gives rise to five different high-level solution strategies, of which three are predominant and cover over 80% of all chosen solutions. In this study, we put forward the Segments problem as an alternative challenge to investigate the problem-solving skills of functional programmers. Analysis of the student solutions, their high-level solution strategies, and corresponding archetype solutions shows that the Segments problem gives rise to seven different high-level solution strategies that can be further divided into 17 subclasses. The Segments problem is particularly suited to investigate problem-solving skills that involve list processing and higher-order functions.
分段:替代降雨问题
摘要Elliot Soloway的降雨问题是一个众所周知的、研究得很好的问题,用于研究程序员的解决策略。Kathi Fisler从函数式程序员的角度研究了这一编程挑战。她指出,这一特殊挑战产生了五种不同的高级别解决方案策略,其中三种是主要的,涵盖了80%以上的选定解决方案。在这项研究中,我们提出了Segments问题,作为研究函数式程序员解决问题技能的另一个挑战。对学生解决方案、他们的高级解决方案策略和相应的原型解决方案的分析表明,Segments问题产生了七种不同的高级解决策略,这些策略可以进一步划分为17个子类。Segments问题特别适合研究涉及列表处理和高阶函数的解决问题的技能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Functional Programming
Journal of Functional Programming 工程技术-计算机:软件工程
CiteScore
1.70
自引率
0.00%
发文量
9
审稿时长
>12 weeks
期刊介绍: Journal of Functional Programming is the only journal devoted solely to the design, implementation, and application of functional programming languages, spanning the range from mathematical theory to industrial practice. Topics covered include functional languages and extensions, implementation techniques, reasoning and proof, program transformation and synthesis, type systems, type theory, language-based security, memory management, parallelism and applications. The journal is of interest to computer scientists, software engineers, programming language researchers and mathematicians interested in the logical foundations of programming.
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