May the source be with you, but remember the KISS principle ;-)
Contents Bulletin Scripting in shell and Perl Network troubleshooting History Humor

Classic Papers on Scripting

Contents Selected quotes Scripting: Higher Level Programming for the 21st Century Etc


  1. Selected quotes
  2. Scripting: Higher Level Programming for the 21st Century --by John K. Ousterhout. Classic paper by designer of TCL.
  3. The Rise of  "Worse is Better'' by Richard P Gabriel
  4. Worse Is Better by Richard P Gabriel
  5. [PDF] Curing Those Uncontrollable Fits of Interaction by Don Libes in Proceedings] (1990) Proceedings of the Summer 1990 USENIX Conference
  6. A. Aho, B. Kernighan, and P. Weinberger. AWK -- A pattern scanning and processing language. Software Practice and Experience, 9(4):267--280, 1979. Also available as text
  7. J. R. Mashey Using a command language as a high-level programming language pdf formatPdf (925 KB) International Conference on Software Engineering archive Proceedings of the 2nd international conference on Software engineering table of contents San Francisco, California, United States Pages: 169 - 176   1976
  8. Schwartz, Jacob T., "Set Theory as a Language for Program Specification and Programming". Courant Institute of Mathematical Sciences, New York University, 1970. Later book The SETL Programming Language by Dewar and Smosna is available.

Selected Quotes

Scripting languages are higher level than system programming languages, in the sense that a single statement does more work on average. A typical statement in a scripting language executes hundreds or thousands of machine instructions, whereas a typical statement in a system programming language executes about five machine instructions. Part of this difference is because scripting languages use interpreters, which are less efficient than the compiled code for system programming languages. But much of the difference is because the primitive operations in scripting languages have greater functionality. For example, in Perl it is about as easy to invoke a regular expression substitution as it is to invoke an integer addition. In Tcl, a variable can have traces associated with it so that setting the variable causes side effects; for example, a trace might be used to keep the variable's value updated continuously on the screen.

John K. Ousterhout
Scripting: Higher Level Programming for the 21st Century

Most people are surprised when I tell them what language we use in our undergraduate AI programming class.  That's understandable.  We use GAWK.  GAWK, Gnu's version of Aho, Weinberger, and Kernighan's old pattern scanning language isn't even viewed as a programming language by most people.  Like PERL and TCL, most prefer to view it as a "scripting language."  It has no objects; it is not functional; it does no built-in logic programming.  Their surprise turns to puzzlement when I confide that (a) while the students are allowed to use any language they want; (b) with a single exception, the best work consistently results from those working in GAWK.  (footnote:  The exception was a PASCAL programmer who is now an NSF graduate fellow getting a Ph.D. in mathematics at Harvard.) Programmers in C, C++, and LISP haven't even been close (we have not seen work in PROLOG or JAVA).

Why GAWK for AI?
 draft of article by Ronald P. Loui. (1996)

Scripting: Higher Level Programming for the 21st Century

Scripting: Higher Level Programming for the 21st Century by John K. Ousterhout. Classic paper by designer of TCL. Highly recommended

...Scripting languages such as Perl and Tcl represent a very different style of programming than system programming languages such as C or Java. Scripting languages are designed for "gluing" applications; they use typeless approaches to achieve a higher level of programming and more rapid application development than system programming languages. Increases in computer speed and changes in the application mix are making scripting languages more and more important for applications of the future.

...Scripting languages and system programming languages are complementary, and most major computing platforms since the 1960's have provided both kinds of languages. The languages are typically used together in component frameworks, where components are created with system programming languages and glued together with scripting languages. However, several recent trends, such as faster machines, better scripting languages, the increasing importance of graphical user interfaces and component architectures, and the growth of the Internet, have greatly increased the applicability of scripting languages. These trends will continue over the next decade, with more and more new applications written entirely in scripting languages and system programming languages used primarily for creating components.

...The second difference between assembly language and system programming languages is typing. I use the term "typing" to refer to the degree to which the meaning of information is specified in advance of its use. In a strongly typed language the programmer declares how each piece of information will be used and the language prevents the information from being used in any other way. In a weakly typed language there are no a priori restrictions on how information can be used: the meaning of information is determined solely by the way it is used, not by any initial promises

...Scripting languages such as Perl, Python, Rexx, Tcl, Visual Basic, and the Unix shells represent a very different style of programming than system programming languages. Scripting languages assume that there already exists a collection of useful components written in other languages. Scripting languages aren't intended for writing applications from scratch; they are intended primarily for plugging together components. For example, Tcl and Visual Basic can be used to arrange collections of user interface controls on the screen, and Unix shell scripts are used to assemble filter programs into pipelines. Scripting languages are often used to extend the features of components but they are rarely used for complex algorithms and data structures; features like these are usually provided by the components. Scripting languages are sometimes referred to as glue languages or system integration languages.

In order to simplify the task of connecting components, scripting languages tend to be typeless: all things look and behave the same so that they are interchangeable. For example, in Tcl or Visual Basic a variable can hold a string one moment and an integer the next. Code and data are often interchangeable, so that a program can write another program and then execute it on the fly. Scripting languages are often string-oriented, since this provides a uniform representation for many different things.

The strongly typed nature of system programming languages discourages reuse. Typing encourages programmers to create a variety of incompatible interfaces ("interfaces are good; more interfaces are better"). Each interface requires objects of specific types and the compiler prevents any other types of objects from being used with the interface, even if that would be useful. In order to use a new object with an existing interface, conversion code must be written to translate between the type of the object and the type expected by the interface. This in turn requires recompiling part or all of the application, which isn't possible in the common case where the application is distributed in binary form.

...It might seem that the typeless nature of scripting languages could allow errors to go undetected, but in practice scripting languages are just as safe as system programming languages. For example, an error will occur if the font size specified for the button example above is a non-integer string such as xyz. The difference is that scripting languages do their error checking at the last possible moment, when a value is used. Strong typing allows errors to be detected at compile-time, so the cost of run-time checks is avoided. However, the price to be paid for this efficiency is restrictions on how information can be used: this results in more code and less flexible programs.

...Scripting languages are less efficient than system programming languages, in part because they use interpreters instead of compilers but also because their basic components are chosen for power and ease of use rather than an efficient mapping onto the underlying hardware. For example, scripting languages often use variable-length strings in situations where a system programming language would use a binary value that fits in a single machine word, and scripting languages often use hash tables where system programming languages use indexed arrays.

Scripting languages are higher level than system programming languages, in the sense that a single statement does more work on average. A typical statement in a scripting language executes hundreds or thousands of machine instructions, whereas a typical statement in a system programming language executes about five machine instructions. Part of this difference is because scripting languages use interpreters, which are less efficient than the compiled code for system programming languages. But much of the difference is because the primitive operations in scripting languages have greater functionality. For example, in Perl it is about as easy to invoke a regular expression substitution as it is to invoke an integer addition. In Tcl, a variable can have traces associated with it so that setting the variable causes side effects; for example, a trace might be used to keep the variable's value updated continuously on the screen.

A scripting language is not a replacement for a system programming language or vice versa. Each is suited to a different set of tasks. For gluing and system integration, applications can be developed 5-10x faster with a scripting language; system programming languages will require large amounts of boilerplate and conversion code to connect the pieces, whereas this can be done directly with a scripting language. For complex algorithms and data structures, the strong typing of a system programming language makes programs easier to manage. Where execution speed is key, a system programming language can often run 10-20x faster than a scripting language because it makes fewer run-time checks.

Most of the major computing platforms over the last 30 years have provided both system programming and scripting languages. For example, one of the first scripting languages, albeit a crude one, was JCL (Job Control Language), which was used to sequence job steps in OS/360. The individual job steps were written in PL/1, Fortran, or assembler language, which were the system programming languages of the day. In the Unix machines of the 1980's, C was used for system programming and shell programs such as sh and csh for scripting. In the PC world of the 1990's, C and C++ are used for system programming and Visual Basic for scripting. In the Internet world that is taking shape now, Java is used for system programming and languages such as JavaScript, Perl, and Tcl are used for scripting.

Scripting languages have existed for a long time, but in recent years several factors have combined to increase their importance. The most important factor is a shift in the application mix towards gluing applications. Three examples of this shift are graphical user interfaces, the Internet, and component frameworks.

The third example of scripting-oriented applications is component frameworks such as ActiveX, OpenDoc, and JavaBeans. Although system programming languages work well for creating components, the task of assembling components into applications is better suited to scripting. Without a good scripting language to manipulate the components, much of the power of a component framework is lost. This may explain in part why component frameworks have been more successful on PCs (where Visual Basic provides a convenient scripting tool) than on other platforms such as Unix/CORBA where scripting is not included in the component framework.

Another reason for the increasing popularity of scripting languages is improvements in scripting technology. Modern scripting languages such as Tcl and Perl are a far cry from early scripting languages such as JCL. For example, JCL didn't even provide basic iteration and early Unix shells didn't support procedures. Scripting technology is still relatively immature even today. For example, Visual Basic isn't really a scripting language; it was originally implemented as a simple system programming language, then modified to make it more suitable for scripting. Future scripting languages will be even better than those available today.

One final reason for the increasing use of scripting languages is a change in the programmer community. Twenty years ago most programmers were sophisticated programmers working on large projects. Programmers of that era expected to spend several months to master a language and its programming environment, and system programming languages were designed for such programmers. However, since the arrival of the personal computer, more and more casual programmers have joined the programmer community. For these people, programming is not their main job function; it is a tool they use occasionally to help with their main job. Examples of casual programming are simple database queries or macros for a spreadsheet. Casual programmers are not willing to spend months learning a system programming language, but they can often learn enough about a scripting language in a few hours to write useful programs. Scripting languages are easier to learn because they have simpler syntax than system programming languages and because they omit complex features like objects and threads. For example, compare Visual Basic with Visual C++; few casual programmers would attempt to use Visual C++, but many have been able to build useful applications with Visual Basic.

Scripting languages have been mostly overlooked by experts in programming languages and software engineering. Instead, they have focused their attention on object-oriented system programming languages such as C++ and Java. Object-oriented programming is widely believed to represent the next major step in the evolution of programming languages. Object-oriented features such as strong typing and inheritance are often claimed to reduce development time, increase software reuse, and solve many other problems including those addressed by scripting languages.

...How much benefit has object-oriented programming actually provided? Unfortunately I haven't seen enough quantitative data to answer this question definitively. In my opinion objects provide only a modest benefit: perhaps a 20-30% improvement in productivity but certainly not a factor of two, let alone a factor of 10. C++ now seems to be reviled as much as it is loved, and some language experts are beginning to speak out against object-oriented programming [2]. The rest of this section explains why objects don't improve productivity in the dramatic way that scripting does, and it argues that the benefits of object-oriented programming can be achieved in scripting languages.

...The reason why object-oriented programming doesn't provide a large improvement in productivity is that it doesn't raise the level of programming or encourage reuse. In an object-oriented language such as C++ programmers still work with small basic units that must be described and manipulated in great detail. In principle, powerful library packages could be developed, and if these libraries were used extensively they could raise the level of programming. However, not many such libraries have come into existence. The strong typing of most object-oriented languages encourages narrowly defined packages that are hard to reuse. Each package requires objects of a specific type; if two packages are to work together, conversion code must be written to translate between the types required by the packages.

Scripting languages, on the other hand, have actually generated significant software reuse. They use a model where interesting components are built in a system programming language and then glued together into applications using the scripting language. This division of labor provides a natural framework for reusability. Components are designed to be reusable, and there are well-defined interfaces between components and scripts that make it easy to use components. For example, in Tcl the components are custom commands implemented in C; they look just like the builtin commands so they are easy to invoke in Tcl scripts. In Visual Basic the components are ActiveX extensions, which can be used by dragging them from a palette onto a form.

Scripting languages represent a different set of tradeoffs than system programming languages. They give up execution speed and strength of typing relative to system programming languages but provide significantly higher programmer productivity and software reuse. This tradeoff makes more and more sense as computers become faster and cheaper in comparison to programmers. System programming languages are well suited to building components where the complexity is in the data structures and algorithms, while scripting languages are well suited for gluing applications where the complexity is in the connections. Gluing tasks are becoming more and more prevalent, so scripting will become an even more important programming paradigm in the next century than it is today.

The Rise of  "Worse is Better''

The Rise of ``Worse is Better''

I and just about every designer of Common Lisp and CLOS has had extreme exposure to the MIT/Stanford style of design. The essence of this style can be captured by the phrase ``the right thing.'' To such a designer it is important to get all of the following characteristics right:

I believe most people would agree that these are good characteristics. I will call the use of this philosophy of design the ``MIT approach.'' Common Lisp (with CLOS) and Scheme represent the MIT approach to design and implementation.

The worse-is-better philosophy is only slightly different:

Early Unix and C are examples of the use of this school of design, and I will call the use of this design strategy the ``New Jersey approach.'' I have intentionally caricatured the worse-is-better philosophy to convince you that it is obviously a bad philosophy and that the New Jersey approach is a bad approach.

However, I believe that worse-is-better, even in its strawman form, has better survival characteristics than the-right-thing, and that the New Jersey approach when used for software is a better approach than the MIT approach.

Worse Is Better by Richard P Gabriel

Worse Is Better by Richard P Gabriel

The concept known as “worse is better” holds that in software making (and perhaps in other arenas as well) it is better to start with a minimal creation and grow it as needed. Christopher Alexander might call this “piecemeal growth.” This is the story of the evolution of that concept.

From 1984 until 1994 I had a Lisp company called “Lucid, Inc.” In 1989 it was clear that the Lisp business was not going well, partly because the AI companies were floundering and partly because those AI companies were starting to blame Lisp and its implementations for the failures of AI. One day in Spring 1989, I was sitting out on the Lucid porch with some of the hackers, and someone asked me why I thought people believed C and Unix were better than Lisp. I jokingly answered, “because, well, worse is better.” We laughed over it for a while as I tried to make up an argument for why something clearly lousy could be good.

A few months later, in Summer 1989, a small Lisp conference called EuroPAL (European Conference on the Practical Applications of Lisp) invited me to give a keynote, probably since Lucid was the premier Lisp company. I agreed, and while casting about for what to talk about, I gravitated toward a detailed explanation of the worse-is-better ideas we joked about as applied to Lisp. At Lucid we knew a lot about how we would do Lisp over to survive business realities as we saw them, and so the result was called “Lisp: Good News, Bad News, How to Win Big.” [html] (slightly abridged version) [pdf] (has more details about the Treeshaker and delivery of Lisp applications).

I gave the talk in March, 1990 at Cambridge University. I had never been to Cambridge (nor to Oxford), and I was quite nervous about speaking at Newton’s school. There were about 500-800 people in the auditorium, and before my talk they played the Notting Hillbillies over the sound system - I had never heard the group before, and indeed, the album was not yet released in the US. The music seemed appropriate because I had decided to use a very colloquial American-style of writing in the talk, and the Notting Hillbillies played a style of music heavily influenced by traditional American music, though they were a British band. I gave my talk with some fear since the room was standing room only, and at the end, there was a long silence. The first person to speak up was Gerry Sussman, who largely ridiculed the talk, followed by Carl Hewitt who was similarly none too kind. I spent 30 minutes trying to justify my speech to a crowd in no way inclined to have heard such criticism - perhaps they were hoping for a cheerleader-type speech.

I survived, of course, and made my way home to California. Back then, the Internet was just starting up, so it was reasonable to expect not too many people would hear about the talk and its disastrous reception. However, the press was at the talk and wrote about it extensively in the UK. Headlines in computer rags proclaimed “Lisp Dead, Gabriel States.” In one, there was a picture of Bruce Springsteen with the caption, “New Jersey Style,” referring to the humorous name I gave to the worse-is-better approach to design. Nevertheless, I hid the talk away and soon was convinced nothing would come of it.

About a year later we hired a young kid from Pittsburgh named Jamie Zawinski. He was not much more than 20 years old and came highly recommended by Scott Fahlman. We called him “The Kid.” He was a lot of fun to have around: not a bad hacker and definitely in a demographic we didn’t have much of at Lucid. He wanted to find out about the people at the company, particularly me since I had been the one to take a risk on him, including moving him to the West Coast. His way of finding out was to look through my computer directories - none of them were protected. He found the EuroPAL paper, and found the part about worse is better. He connected these ideas to those of Richard Stallman, whom I knew fairly well since I had been a spokesman for the League for Programming Freedom for a number of years. JWZ excerpted the worse-is-better sections and sent them to his friends at CMU, who sent them to their friends at Bell Labs, who sent them to their friends everywhere.

Soon I was receiving 10 or so e-mails a day requesting the paper. Departments from several large companies requested permission to use the piece as part of their thought processes for their software strategies for the 1990s. The companies I remember were DEC, HP, and IBM. In June 1991, AI Expert magazine republished the piece to gain a larger readership in the US.

However, despite the apparent enthusiasm by the rest of the world, I was uneasy about the concept of worse is better, and especially with my association with it. In the early 1990s, I was writing a lot of essays and columns for magazines and journals, so much so that I was using a pseudonym for some of that work: Nickieben Bourbaki. The original idea for the name was that my staff at Lucid would help with the writing, and the single pseudonym would represent the collective, much as the French mathematicians in the 1930s used “Nicolas Bourbaki” as their collective name while rewriting the foundations of mathematics in their image. However, no one but I wrote anything under that name.

In the Winter of 1991-1992 I wrote an essay called “Worse Is Better Is Worse” under the name “Nickieben Bourbaki.” This piece attacked worse is better. In it, the fiction was created that Nickieben was a childhood friend and colleague of Richard P. Gabriel, and as a friend and for Richard’s own good, Nickieben was correcting Richard’s beliefs.

In the Autumn of 1992, the Journal of Object-Oriented Programming (JOOP) published a “rebuttal” editorial I wrote to “Worse Is Better Is Worse” called “Is Worse Really Better?” The folks at Lucid were starting to get a little worried because I would bring them review drafts of papers arguing (as me) for worse is better, and later I would bring them rebuttals (as Nickieben) against myself. One fellow was seriously nervous that I might have a mental disease.

In the middle of the 1990s I was working as a management consultant (more or less), and I became interested in why worse is better really could work, so I was reading books on economics and biology to understand how evolution happened in economic systems. Most of what I learned was captured in a presentation I would give back then, typically as a keynote, called “Models of Software Acceptance: How Winners Win,” and in a chapter called “Money Through Innovation Reconsidered,” in my book of essays, “Patterns of Software: Tales from the Software Community.”

You might think that by the year 2000 I would have settled what I think of worse is better - after over a decade of thinking and speaking about it, through periods of clarity and periods of muck, and through periods of multi-mindedness on the issues. But, at OOPSLA 2000, I was scheduled to be on a panel entitled “Back to the Future: Is Worse (Still) Better?” And in preparation for this panel, the organizer, Martine Devos, asked me to write a position paper, which I did, called “Back to the Future: Is Worse (Still) Better?” In this short paper, I came out against worse is better. But a month or so later, I wrote a second one, called “Back to the Future: Worse (Still) is Better!” which was in favor of it. I still can’t decide. Martine combined the two papers into the single position paper for the panel, and during the panel itself, run as a fishbowl, participants routinely shifted from the pro-worse-is-better side of the table to the anti-side. I sat in the audience, having lost my voice giving my Mob Software talk that morning, during which I said, “risk-taking and a willingness to open one’s eyes to new possibilities and a rejection of worse-is-better make an environment where excellence is possible. Xenia invites the duende, which is battled daily because there is the possibility of failure in an aesthetic rather than merely a technical sense.”

Decide for yourselves.




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