it-e-48 OOP Is Much Better in Theory Than in Practice

Like many ideas that sound good in theory but are clumsy in practice, object-oriented
programming (OOP) offers benefits only in a specialized context—namely, group programming.
And even in that circumstance the benefits are dubious, though the proponents of OOP would
have you believe otherwise. Some shops claim OOP success, but many I've spoken with are still
"working on it." Still trying to get OOP right after ten years? Something strange is going on here.
Certainly for the great majority of programmers—amateurs working alone to create
programs such as a quick sales tax utility for a small business or a geography quiz for
Junior—the machinery of OOP is almost always far more trouble than it's worth. OOP just
introduces an unnecessary layer of complexity to procedure-oriented design. That's why very few
programming books I've read use OOP techniques (classes, etc.) in their code examples. The
examples are written as functions, not as methods within objects. Programming books are trying
to teach programming—not the primarily clerical and taxonomic essence of OOP. Those few
books that do superimpose the OOP mechanisms on their code are, not surprisingly, teaching
about the mysteries of OOP itself.
Of course professional gang programming has specialized requirements. Chief among them
is that the programmers don't step on each other's toes. For instance, a friend who programs for
one of the world's largest software companies told me he knows precisely what he'll be working
on in one year. Obviously, OOP makes sense in such a bureaucratic system because it needs to be
intensely clerical. Helping to manage large-scale, complex-programming jobs like the one in
which my friend is involved is the primary value of OOP. It's a clerical system with some built-in
security features. In my view, confusing OOP with programming is a mistake.
Contradiction Leads to Confusion
Consider the profound contradiction between the OOP practices of encapsulation and
inheritance. To keep your code bug-free, encapsulation hides procedures (and sometimes even
data) from other programmers and doesn't allow them to edit it. Inheritance then asks these same
programmers to inherit, modify, and reuse this code that they cannot see—they see what goes in
and what comes out, but they must remain ignorant of what's going on inside. In effect, a
programmer with no knowledge of the specific inner workings of your encapsulated class is
asked to reuse it and modify its members. True, OOP includes features to help deal with this
problem, but why does OOP generate problems it must then deal with later?
All this leads to the familiar granularity paradox in OOP: should you create only extremely
small and simple classes for stability (some computer science professors say yes), or should you
make them large and abstract for flexibility (other professors say yes). Which is it?
A frequent argument for OOP is it helps with code reusability, but one can reuse code
without OOP—often by simply copying and pasting. There's no need to superimpose some
elaborate structure of interacting, instantiated objects, with all the messaging and fragility that it

introduces into a program. Further, most programming is done by individuals. Hiding code from
oneself just seems weird. Obviously, some kind of structure must be imposed on people
programming together in groups, but is OOP—with all its baggage and inefficiency—the right

1, dubious  ['dju:bjəs]
a. 怀疑的,可疑的

2, proponents  
n. 支持者;建议者(proponent的复数)

3, quiz  [kwiz]
n. 小考,随堂测验,恶作剧
v. 简单测验,恶作剧

4, clerical  ['klerikəl]
n. 牧师
a. 书记的,事务上的,抄写员的

5, essence  ['esns]
n. 本质,精髓

6, bureaucratic  [,bjurəu'krætik]
adj. 官僚的;官僚政治的

7, intensely  
ad. 强烈地(一心一意地)

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