On the persistent rumors of the programmer’s imminent demise

IF 2 3区计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING

Software and Systems Modeling Pub Date : 2023-11-15 DOI:10.1007/s10270-023-01136-y

Hessam Mohammadi, Wided Ghardallou, Elijah Brick, Ali Mili

引用次数: 0

Abstract

Since the dawn of programming, several developments in programming language design and programming methodology have been hailed as the end of the profession of programmer; they have all proven to be exaggerated rumors, to echo the words attributed to Mark Twain. In this short paper, we ponder the question of whether the emergence of large language models finally realizes these prophecies? Also, we discuss why even if this prophecy is finally realized, it does not change the job of the researcher in programming.

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关于程序员即将死亡的谣言不断

自编程诞生以来，编程语言设计和编程方法的一些发展被誉为程序员职业的终结;事实证明，这些都是夸大其词的谣言，是为了呼应马克·吐温的话。在这篇短文中，我们思考的问题是，大型语言模型的出现是否最终实现了这些预言?此外，我们还讨论了为什么即使这个预言最终实现了，它也不会改变编程研究人员的工作。

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

Software and Systems Modeling 工程技术-计算机：软件工程

CiteScore

6.00

自引率

20.00%

发文量

104

审稿时长

>12 weeks

期刊介绍： We invite authors to submit papers that discuss and analyze research challenges and experiences pertaining to software and system modeling languages, techniques, tools, practices and other facets. The following are some of the topic areas that are of special interest, but the journal publishes on a wide range of software and systems modeling concerns: Domain-specific models and modeling standards; Model-based testing techniques; Model-based simulation techniques; Formal syntax and semantics of modeling languages such as the UML; Rigorous model-based analysis; Model composition, refinement and transformation; Software Language Engineering; Modeling Languages in Science and Engineering; Language Adaptation and Composition; Metamodeling techniques; Measuring quality of models and languages; Ontological approaches to model engineering; Generating test and code artifacts from models; Model synthesis; Methodology; Model development tool environments; Modeling Cyberphysical Systems; Data intensive modeling; Derivation of explicit models from data; Case studies and experience reports with significant modeling lessons learned; Comparative analyses of modeling languages and techniques; Scientific assessment of modeling practices