Case study of software complexity and error detection simulation
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The history of developing and using a simulation model for the study of software error processes, complexity and structure is traced. Strong and weak points of simulation as they relate to model validity, accuracy and cost of implementation and use are discussed. The simulation model is compared t o a similar analytic model. The history of an experiment in software complexity and error analysis is used to show the correspondence between empirical and model results. Empirical wthods are contrasted with the use of models in terms of validity, accuracy, generality and cost. An assessment is made of the applicability of the techniques, based on these experiences .
The article of record as published may be located at http://dx.doi.org/10.1109/CMPSAC.1979.762613
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Schneidewind, Norman F.; Howard, Gilbert Thoreau; Kirchgaessner, Michael (Monterey, California. Naval Postgraduate School, 1976-11); NPS52SS76111This report describes a continuing research effort in software reliability which was first reported in 'System Test Methodology,' Naval Postgraduate School, Vol I NPS55SS75072A, Vol. II NPS 55SS75072B (1975). The work just ...
Schneidewind, Norman F. (1979-08);Several research studies have shown a strong relationship between complexity, as measured by the structural properties of a program, and its error properties, as measured by number and types of errors and error detection ...
Dupont, Joseph P. (Monterey, California. Naval Postgraduate School, 2002-06);"We often misunderstand, ill define or improperly measure the complexity of software. Software complexity is represented by the degree of complication of a system determined by such factors as control flow, information ...