How to Write an Abstract

    Phil Koopman, Carnegie Mellon University

Abstract

Because on-line search databases typically contain only abstracts, it is vital to write a complete but concise
description of your work to entice potential readers into obtaining a copy of the full paper. This article
describes how to write a good computer architecture abstract for both conference and journal papers. Writers
should follow a checklist consisting of: motivation, problem statement, approach, results, and conclusions.
Following this checklist should increase the chance of people taking the time to obtain and read your complete
paper.

Introduction

Now that the use of on-line publication databases is prevalent, writing a really good abstract has become even
more important than it was a decade ago. Abstracts have always served the function of "selling" your work. But
now, instead of merely convincing the reader to keep reading the rest of the attached paper, an abstract must
convince the reader to leave the comfort of an office and go hunt down a copy of the article from a library (or
worse, obtain one after a long wait through inter-library loan). In a business context, an "executive summary" is
often the only piece of a report read by the people who matter; and it should be similar in content if not tone to a
journal paper abstract.

Checklist: Parts of an Abstract

Despite the fact that an abstract is quite brief, it must do almost as much work as the multi-page paper that
follows it. In a computer architecture paper, this means that it should in most cases include the following
sections. Each section is typically a single sentence, although there is room for creativity. In particular, the parts
may be merged or spread among a set of sentences. Use the following as a checklist for your next abstract:

    Motivation:
    Why do we care about the problem and the results? If the problem isn't obviously "interesting" it might be
    better to put motivation first; but if your work is incremental progress on a problem that is widely
    recognized as important, then it is probably better to put the problem statement first to indicate which piece
    of the larger problem you are breaking off to work on. This section should include the importance of your
    work, the difficulty of the area, and the impact it might have if successful.
    Problem statement:
    What problem are you trying to solve? What is the scope of your work (a generalized approach, or for a
    specific situation)? Be careful not to use too much jargon. In some cases it is appropriate to put the
    problem statement before the motivation, but usually this only works if most readers already understand
    why the problem is important.
    Approach:
    How did you go about solving or making progress on the problem? Did you use simulation, analytic
    models, prototype construction, or analysis of field data for an actual product? What was the extent of your
    work (did you look at one application program or a hundred programs in twenty different programming
    languages?) What important variables did you control, ignore, or measure?
    Results:
    What's the answer? Specifically, most good computer architecture papers conclude that something is so
    many percent faster, cheaper, smaller, or otherwise better than something else. Put the result there, in
    numbers. Avoid vague, hand-waving results such as "very", "small", or "significant." If you must be vague,
    you are only given license to do so when you can talk about orders-of-magnitude improvement. There is a
    tension here in that you should not provide numbers that can be easily misinterpreted, but on the other hand
    you don't have room for all the caveats.
    Conclusions:
    What are the implications of your answer? Is it going to change the world (unlikely), be a significant "win",
    be a nice hack, or simply serve as a road sign indicating that this path is a waste of time (all of the previous
    results are useful). Are your results general, potentially generalizable, or specific to a particular case?

Other Considerations

An abstract must be a fully self-contained, capsule description of the paper. It can't assume (or attempt to
provoke) the reader into flipping through looking for an explanation of what is meant by some vague statement.
It must make sense all by itself. Some points to consider include:

    Meet the word count limitation. If your abstract runs too long, either it will be rejected or someone will take
    a chainsaw to it to get it down to size. Your purposes will be better served by doing the difficult task of
    cutting yourself, rather than leaving it to someone else who might be more interested in meeting size
    restrictions than in representing your efforts in the best possible manner. An abstract word limit of 150 to
    200 words is common.
    Any major restrictions or limitations on the results should be stated, if only by using "weasel-words" such
    as "might", "could", "may", and "seem".
    Think of a half-dozen search phrases and keywords that people looking for your work might use. Be sure
    that those exact phrases appear in your abstract, so that they will turn up at the top of a search result listing.
    Usually the context of a paper is set by the publication it appears in (for example, IEEE Computer
    magazine's articles are generally about computer technology). But, if your paper appears in a somewhat
    un-traditional venue, be sure to include in the problem statement the domain or topic area that it is really
    applicable to.
    Some publications request "keywords". These have two purposes. They are used to facilitate keyword
    index searches, which are greatly reduced in importance now that on-line abstract text searching is
    commonly used. However, they are also used to assign papers to review committees or editors, which can
    be extremely important to your fate. So make sure that the keywords you pick make assigning your paper
    to a review category obvious (for example, if there is a list of conference topics, use your chosen topic area
    as one of the keyword tuples).

Conclusion

Writing an efficient abstract is hard work, but will repay you with increased impact on the world by enticing
people to read your publications. Make sure that all the components of a good abstract are included in the next
one you write.

Further Reading

Michaelson, Herbert, How to Write & Publish Engineering Papers and Reports, Oryx Press, 1990. Chapter 6
discusses abstracts.

Cremmins, Edward, The Art of Abstracting 2nd Edition, Info Resources Press, April 1996. This is an entire
book about abstracting, written primarily for professional abstractors.
 
 

Phil Koopman 10/97