Using this timing capability there are many factors

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Using this timing capability there are many factors of the program's performance we can check. The most important test of a program is the one which confirms the earlier analysis of the order of magnitude of the execution time . Using actual timing data we should be able to determine the exact shape of this curve given the programming language and the machine we are using. The resulted information is usually used to validate or to invalidate the results of the a priori analysis, or at list to nuance it. Let suppose an algorithm implemented in the form of a program be called Algorithm (X:Input, Y:Output) where X denotes the input and Y the output. In order to build the algorithm’s profile are necessary to be conceived: (1) The input sets whose dimension grows between certain limits, in order to study the algorithm behavior reported to the input dimension. (2) The input sets related to the worst and best possible cases. (3) A procedure which produces the timing profile of the algorithm running the inputs sets [2.5.a]. ------------------------------------------------------------ procedure Profile ; {the procedure builds the profile of the procedure Algoritm(X: Input,Y: Output)} begin * initialize procedure Algorithm; *print ("Algorithm Test. Time in msec"); repeat *read (DataSet); [2.5.a] *print ("A new data set:", DataSet); *call TIME (t); {t is assigned with the current value of the system’s clock} *call Algorithm (DataSet, Results); *call TIME(t1); *print ("Execution Time =", t - t1); until end(DataSet) end {Profile} ------------------------------------------------------------ The Profile procedure can be used for different purposes depending on the focused objectives . (1) To determine the intrinsic performance of a certain algorithm. For this, data sets with increasing dimensions are used. The resulting times denote the algorithm’s profile .
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For a plenary algorithm’s profile, the worst and best cases are also tested. (2) To determine the relative performance of two or more algorithms achieving the same task. For this, the procedure Profile is executed for each algorithm in turn, with the same data sets, on the same computing system. Comparing the resulted profiles, the performances of the analyzed algorithms can be ranked. (3) To determine the relative performance of two or more computing systems . In this case the procedure Profile is executed for the same algorithm, with the same data sets, on each of the analyzed target systems. Comparing the resulted profiles, the performances of the analyzed computing systems can be ranked . Usually on the computing systems market, for this purpose consecrated algorithms, sometime standardized, known as " bench marks ", are used to asses the performance of the computing system architectures. We need to pay a special attention to function TIME whose results, under specific circumstances are irrelevant.
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