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  2. Worst-case execution time - Wikipedia

    en.wikipedia.org/wiki/Worst-case_execution_time

    A worst case effect needs only to be seen once during testing for the analysis to be able to combine it with other worst case events in its analysis. Typically, the small sections of software can be measured automatically using techniques such as instrumentation (adding markers to the software) or with hardware support such as debuggers, and ...

  3. Best, worst and average case - Wikipedia

    en.wikipedia.org/wiki/Best,_worst_and_average_case

    Worst-case performance analysis and average-case performance analysis have some similarities, but in practice usually require different tools and approaches. Determining what typical input means is difficult, and often that average input has properties which make it difficult to characterise mathematically (consider, for instance, algorithms ...

  4. Analysis of algorithms - Wikipedia

    en.wikipedia.org/wiki/Analysis_of_algorithms

    Big O notation is a convenient way to express the worst-case scenario for a given algorithm, although it can also be used to express the average-case — for example, the worst-case scenario for quicksort is O(n 2), but the average-case run-time is O(n log n).

  5. Worst-case complexity - Wikipedia

    en.wikipedia.org/wiki/Worst-case_complexity

    The order of growth (e.g. linear, logarithmic) of the worst-case complexity is commonly used to compare the efficiency of two algorithms. The worst-case complexity of an algorithm should be contrasted with its average-case complexity, which is an average measure of the amount of resources the algorithm uses on a random input.

  6. Computational complexity theory - Wikipedia

    en.wikipedia.org/wiki/Computational_complexity...

    Amortized analysis: Amortized analysis considers both the costly and less costly operations together over the whole series of operations of the algorithm. Worst-case complexity: This is the complexity of solving the problem for the worst input of size .

  7. Profiling (computer programming) - Wikipedia

    en.wikipedia.org/wiki/Profiling_(computer...

    In software engineering, profiling ("program profiling", "software profiling") is a form of dynamic program analysis that measures, for example, the space (memory) or time complexity of a program, the usage of particular instructions, or the frequency and duration of function calls.

  8. Software engineering - Wikipedia

    en.wikipedia.org/wiki/Software_engineering

    Software engineering is a branch of both computer science and engineering focused on designing, developing, testing, and maintaining of software applications.It involves applying engineering principles and computer programming expertise to develop software systems that meet user needs.

  9. Programming complexity - Wikipedia

    en.wikipedia.org/wiki/Programming_Complexity

    The complexity of an existing program determines the complexity of changing the program. Problem complexity can be divided into two categories: [2] Accidental complexity relates to difficulties a programmer faces due to the software engineering tools. Selecting a better tool set or a higher-level programming language may reduce it.

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