工具与资源cis.upenn.edu编辑精选
编程语言领域的伟大著作书单
Great Works in Programming Languages
2013 — 2015，它一次次回到首页
黑点是上首页（≥ 50 分）的那次投稿，空心点是没冲上去的投稿，点越大分数越高。
导读
这是宾夕法尼亚大学 Benjamin Pierce 课程网站上一份「编程语言伟大著作」书单，按重要程度分档收录该领域的经典论文，供学生按图索骥地阅读。评论区指出，榜上最新的论文发表于 2000 年，而最核心一档里最新的作品是 1978 年的，由此引发了关于「经典如何被时间筛选」的讨论。
为什么经久不衰：它是一份被时间反复验证的 PL 经典阅读地图，提醒人们这门学科的核心思想大多来自几十年前，今天读来仍能看清各种语言设计的来龙去脉。
HN 评论精选
质疑榜单为何止步于 2000/1978 年，猜测重大成果需要时间沉淀才能被公认。
这里提到的最新论文是 2000 年的，而「最伟大中的最伟大」那一档里最新的作品是 1978 年的。这究竟是因为我们需要很长时间才能判定什么算重大进步，还是有别的原因？
state查看英文原文
The most recent paper mentioned here is from 2000. The most recent 'greatest of the great' is from 1978. Is it simply that it takes a long time for us to decide what constitutes a significant advancement, or is something else going on?
指出榜单严重偏老，追问这是时间沉淀所致，还是早期已摘完低垂果实、现代语言只是工程打磨。
第一档里最新的论文写于 1978 年。前两档的大部分论文在我出生之前就写好了，只有三篇写于 1990 年代。唯一一篇 21 世纪的（2000 年发表）位于分量最轻的第三档。好想法需要时间积累认可才能上榜？还是计算机时代早期就把低垂的果实摘完了，只剩下进展缓慢的难题？Python、Lisp、Haskell、Ruby 这些现代语言的创新难道没带来新思想？甚至 C++、Java、JavaScript？还是说语言实现几乎无一例外只是理论奠基之后长达数十年的工程打磨？
csense查看英文原文
The most recent paper in the first section was written in 1978. The majority of the ones in the first two sections were written before I was born; only three were written in the 1990's. The only one from the 21st century (published in 2000) is in the least-prestigious third section. Does it take time for good ideas to accumulate the recognition needed to be included in this list? Or was all the low-hanging fruit quickly picked in the early days of the computer age, and only hard problems remain on which little progress has been made? Haven't any new ideas been introduced by the innovations of modern languages like Python, Lisp, Haskell and Ruby? Or even C++, Java and JavaScript? Or is language implementation, almost without exception, a series of engineering refinements that happen in a decades-long process after theoretical foundations are first published?
惋惜榜单缺少 SPJ，认为他的成果可能因「太新」而未入选。
有点惊讶榜单上没有 Simon Peyton-Jones（Haskell 之父之一）的论文。我猜榜上大多是老经典，作者很多已去世或退休。SPJ 是过去 20 年最重要的编程语言研究者之一，也许他的作品对这份榜单来说「太新」了。读他的书和论文点燃了我对编程语言的兴趣。
exDM69查看英文原文
I'm a bit surprised not to see any papers by Simon Peyton-Jones (of Haskell fame) on the list. I guess most of the papers on this list were old classics and many of the authors have already passed away or retired. SPJ is one of the most relevant programming language researchers of the past 20 years, but maybe his work is "too new" for this list. Reading his books and papers taught sparked the interest in programming languages in me.
推荐 Backus 的图灵奖演讲作为榜单之外的又一经典，并调侃其批评的问题如今多已解决。
John Backus 的《Can Programming Be Liberated from the von Neumann Style?》也是一篇非常值得研究的伟大作品：『传统编程语言变得越来越庞大，却没有变得更强……它们逐字处理的风格继承自冯·诺依曼计算机，语义与状态转换紧密耦合，把编程分成表达式世界和语句世界，无法有效用组合形式从已有程序构建新程序，也缺乏可用于推理程序的数学性质。』幸好 30 多年后这些问题大多已被广泛解决 ;)
mixedbit查看英文原文
'Can Programming Be Liberated from the von. Neumann Style?' by John Backus is another great work very worth studying: 'Conventional programming languages are growing ever more enormous, but not stronger. Inherent defects at the most basic level cause them to be both fat and weak: their primitive word-at-a-time style of programming inherited from their common ancestor—the von Neumann computer, their close coupling of semantics to state transitions, their division of programming into a world of expressions and a world of statements, their inability to effectively use powerful combining forms for building new programs from existing ones, and their lack of useful mathematical properties for reasoning about programs.' Thankfully, 30+ years later these problems are widely fixed ;) http://www.thocp.net/biographies/papers/backus_turingaward_lecture.pdf
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