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Summary
Large-scale Systems Development is a high risk undertaking
with staggering industry failure rates. This White Paper helps
to explain fundamentally why this is so and sets the stage
for describing Pro-Found solutions.
For
more information, contact:
William
Frenkel
Pro-Found Software, Inc.
4555 Henry Hudson Parkway - A206
Riverdale, NY 10471
646-831-2990
wfrenkel@pro-found.com
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The
Symptoms
Consider these frightening statistics: 80% of large-scale
applications either are scrapped during development, are shelved
after completion, or are working failures that
do not meet expectations.1
Even worse, for those systems which survive development blow-outs,
annual system maintenance consumes more than 50% of the 1.7
million programmers in the United States.2
These manifestations of software failures transcend techniques,
methodologies, platforms and industry segments and have defied
leading industry and academic practitioners since the birth
of computers some 50 years ago.
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Complexity
The Root Problem
Software systems are more complex for their size than perhaps
any other human construct.3
This complexity occurs along multiple dimensions and is insidious:
One must truly understand this complexity in order to successfully
conquer it.
From
the complexity comes the difficulty of communication among
team members, which leads to product flaws, cost overruns,
schedule delays. From the complexity comes the difficulty
of enumerating, much less understanding, all the possible
states of the program, and from that comes unreliability.
. . . From complexity of structure comes the difficulty
of extending programs to new functions without creating
side effects.
Not
only technical problems, but management problems as well
come from the complexity. It makes overview hard, thus impeding
conceptual integrity. It makes it hard to find and control
all the loose ends. It creates the tremendous learning and
understanding burden that makes personnel turnover a disaster.
4
Essential
Complexity
Unlike scientists who search for natural order
and unifying theories, software developers face
arbitrary complexity created over time by people and institutions.
In many cases, new software must conform to existing systems,
rules, and business practices which have preceded it. To a
great extent, complexity is the very essence of software and
cannot be abstracted away. Software cannot be any less complex
than the domain which it models.
Artificial
Complexity
Artificial complexity refers to the difficulties associated
with the production of software; the technology of software
development. Artificial complexity is brought on by operating
systems, compilers, programming languages, networks, database
managers, etc. Problems associated with version control, testing,
performance, and security are also part of this artificial
complexity. Most attempts at slaying the software development
dragon have focused in these areas. Unfortunately, the dragon
is stronger than ever. Consider the following quote relating
to client-server technology:
If
host-based computing is a 747, client-server computing is
10,000 parts flying in close formation (Bob McGovern,
VP of Legent Corporation).
Bob
McGovern, VP of Legent Corporation.
Internet applications tend to be even more complex. Additionally,
software has a unique characteristic which compounds these
complexities geometrically. Unlike manufactured things such
as buildings and cars which are infrequently changed after
manufacture, software is thought to be infinitely changeable.
After all, software has no real physical existence.
As
people begin to interact with software, they think of new
or better ways for the software to work. In many cases, people
push software to the edge or beyond its original design. If
software were a car, people would want it to fly. Thus, the
very act of using software becomes a strong catalyst for change.
Moreover, software lives within a world of rapidly changing
business practices, users, laws and technologies which all
impose change.
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Countering
Complexity The Solution
Many consultants and software vendors try to convince us that
they have tools and/or techniques which represent the only
true solution. They are all wrong. Yet many of
their tools and techniques have significant merit. Many practitioners
believe that software construction is a purely creative process
much like music or art and does not lend itself to standardized
approaches. They, too, are wrong. Yet study after study shows
that the very best developers consistently create software
which is better, faster, cleaner and produced with less effort.
What is common to all effective tools and techniques and to
all successful software artists is one characteristic
- the elimination of complexity. Engineers often refer to
elimination of complexity as elegance.
An
elegant solution reduces the problem to its root and addresses
all of its aspects in the simplest possible manner. . .
. Elegance counters complexity, knocking it down enough
that we can move forward a little more without becoming
hopelessly lost. . . . Elegance endows software with a simple
and robust architecture that seems to have endless applications
and extensibility. 5
We
believe that there are practical approaches to increase software
elegance which can be applied across many technology environments
and which can coexist with a wide range of tools and methodologies.
Further, one need not be one of the chosen few software artists
in order to benefit from these approaches. Visit our Technology
Demonstration Center or call for more details.
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References
1.
Scientific
American, Sept. 1994. Software Productivity Research
2. Capers
Jones, chairman of , In. in Burlington, MA.
3.Fredrick Brooks, No Silver Bullet: Essence
and Accidents of Software Engineering, COMPUTER
vol. 20, No. 4.
4.
Ibid.
5. Jeff
Fisher and Dale Gipson, In Search of Elegance,
Computer Language, Nov. 1992.
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