Summary

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The symptoms of Complexification are:

  • Poor readability might indicate overly complex code, but further investigation is necessary to determine if complex code is the root cause of the poor readability.

  • The performance of extra computation that is undetectable to the end user.

  • Use of an algorithm primarily because it was the most recently learned.

  • The emergence of bugs caused by the overly complex interactions between objects or other code units.

To prevent Complexification:

  • K.I.S.S., or Keep It Simple, Stupid

  • Know or learn what algorithms will work for the problem.

  • Start with the simplest or most well known algorithm, and only add complexity as necessary.

  • If the option is available, choose the best programming language implementing the algorithm.

  • Test how difficult it is to explain the algorithm, preferably to a colleague not working on the associated problem.

  • Perform refactoring early and often to reduce the complexity of interactions between code units.

To cure the effects of Complexification:

  • Do not be afraid to refactor to a less optimal but more general solution as long as the general solution still meets the requirements.

  • Determine the least restrictive requirements that still solve the problem, and then choose the simplest algorithm that meets these requirements.

  • Clean up code after simplifying to remove dead code and incorrect comments.



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Preventative Programming Techniques. Avoid and Correct Common Mistakes
Preventative Programming Techniques: Avoid and Correct Common Mistakes (Charles River Media Programming)
ISBN: 1584502576
EAN: 2147483647
Year: 2002
Pages: 121
Authors: Brian Hawkins

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