C++ is an insult to the human brain
But quality of work can be expected only through personal satisfaction, dedication and enjoyment. In our profession, precision and perfection are not a dispensable luxury, but a simple necessity.
A good designer must rely on experience, on precise, logic thinking; and on pedantic exactness. No magic will do.
The belief that complex systems require armies of designers and programmers is wrong. A system that is not understood in its entirety, or at least to a significant degree of detail by a single individual, should probably not be built.
Complexity has and will maintain a strong fascination for many people. It is true that we live in a complex world and strive to solve inherently complex problems, which often do require complex mechanisms. However, this should not diminish our desire for elegant solutions, which convince by their clarity and effectiveness. Simple, elegant solutions are more effective, but they are harder to find than complex ones, and they require more time, which we too often believe to be unaffordable
Increasingly, people seem to misinterpret complexity as sophistication, which is baffling -- the incomprehensible should cause suspicion rather than admiration.
A primary cause of complexity is that software vendors uncritically adopt almost any feature that users want.
Whereas Europeans generally pronounce my name the right way ('Ni-klows Wirt'), Americans invariably mangle it into 'Nick-les Worth'. This is to say that Europeans call me by name, but Americans call me by value.
Software is getting slower more rapidly than hardware becomes faster.
In the practical world of computing, it is rather uncommon that a program, once it performs correctly and satisfactorily, remains unchanged forever.
Prolific programmers contribute to certain disaster.
Time pressure gradually corrupts an engineer's standard of quality and perfection. It has a detrimental effect on people as well as products
Programming is usually taught by examples.
Program construction consists of a sequence of refinement steps.
Professors typically spend their time in meetings about planning, policy, proposals, fund-raising, consulting, interviewing, traveling, and so forth, but spend relatively little time at their drawing boards. As a result, they lose touch with the substance of their rapidly developing subject. They lose the ability to design; they lose sight of what is essential; and they resign themselves to teach academically challenging puzzles.
The idea that one might derive satisfaction from his or her successful work, because that work is ingenious, beautiful, or just pleasing, has become ridiculed.
Many people tend to look at programming styles and languages like religions: if you belong to one, you cannot belong to others. But this analogy is another fallacy.
Good engineering is characterized by gradual, stepwise refinement of products that yields increased performance under given constraints and with given resources.
Software gets slower faster than hardware gets faster. (Or, sometimes known by] Grove [the head of Intel] giveth and Gates [the head of Microsoft] taketh away.)
Experience shows that the success of a programming course critically depends on the choice of these examples.
Programs should be written and polished until they acquire publication quality.
I have never designed a language for its own sake.
Our ultimate goal is extensible programming. By this, we mean the construction of hierarchies of modules, each module adding new functionality to the system.
My being a teacher had a decisive influence on making language and systems as simple as possible so that in my teaching, I could concentrate on the essential issues of programming rather than on details of language and notation.
Clearly, programming courses should teach methods of design and construction, and the selected examples should be such that a gradual development can be nicely demonstrated.
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