Titlebook: Software Reliability Modelling and Identification; Sergio Bittanti Book 1988 Springer-Verlag Berlin Heidelberg 1988 complexity.modeling.so

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Bev Littlewoodbehaviour, and more particularly of the relations between their microstructure and their macroscopic properties. .This work, of which this is the first volume, aims to provide the means by which this challenge may be met. Starting from the mechanics of deformation, it develops the laws governing mac

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Application of basic and logarithmic poisson execution time models in software reliability measuremf other published models. Predictive validity is established using sets of failure data from a varied group of software projects and two different parameter estimation methods. The characteristics and advantages and disadvantages of the two with respect to each other are discussed.

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A flexible modelling approach for software reliability growth,ed by allowing a variable Fault Exposure Coefficient (with linear dependence on the number of remaining faults)..The model, which contains 3 parameters, is also equipped with a suitable criterion to decide whether a simpler model (with fewer parameters) is more advisable for the data at hand..The an

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Forecasting software reliability,such faults can be permanently removed when they are detected by failure of the software. Then the software will exhibit reliability growth. The problem considered here is the one of forecasting this growth: it includes the estimation of the current reliability of the program from the previous failu

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Conference proceedings 1972e hydrolases, which were not dealt with by Shooter and Einstein (1). We are most grateful to Miss V. Troeger for typing the man- scripts and to Mr. A. Landmann for assistance with photography. A.N. DAVISON I.G. MORGAN P. MANDEL (1) SHOOTER, E.M. and EINSTEIN, E.R., Ann. Rev. Biochem., 40 (1971) 635.