Related:

• obust adj. Said of a system that has demonstrated an ability to recover gracefully from the whole range of exceptional inputs and situations in a given environment.
  One step below bulletproof. Carries the additional connotation of elegance in addition to just careful attention to detail....
• brittle adj. Said of software that is functional but easily broken by changes in operating environment or configuration, or by any minor tweak to the software itself.
  Also, any system that responds inappropriately and disastrously to abnormal but expected external stimuli...
• brittle: adj. Said of software that is functional but easily broken by changes in operating environment or configuration, or by any minor tweak to the software itself.
  Also, any system that responds inappropriately and disastrously to abnormal but expected external stimuli...
• mart adj. Said of a program that does the Right Thing in a wide variety of complicated circumstances.
  There is a difference between calling a program smart and calling it intellige...
• mart: adj. Said of a program that does the {Right Thing} in a wide variety of complicated circumstances.
  There is a difference between calling a program smart and calling it intellige...
• well-behaved adj. 1. [primarily MS-DOS] Said of software conforming to system interface guidelines and standards.
  Well-behaved software uses the operating system to do chores such as keyboard input, allocating memory and drawing graphics....
• ot ready for prime time: adj. Usable, but only just so
  ot very robust; for internal use only. Said of a program or device....
• bulletproof adj. Used of an algorithm or implementation considered extremely robu
  lossage-resistant; capable of correctly recovering from any imaginable exception condition -- a rare and valued quality....
• brute force adj. Describes a primitive programming style
  one in which the programmer relies on the computer's processing power instead of using his or her own intelligence to simplify the problem, often ignoring problems of scale and applying naive methods suited to small problems directly to large ones....