An input-domain based method to estimate software reliability

Pasquini, Alberto; Agostino, E. de; Marco, G. Di

doi:10.1109/24.488923

Cited by 11 publications

(1 citation statement)

References 20 publications

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“…The literature on software reliability modelling and prediction, mainly in terms of MTTF and number of residual faults, is extensive. Pasquini et al [32] provide a long list of references and state that only reliability growth models are widely used in practice. Burtschy et al [33] give a 'supermodel' which is the weighted sum of several existing growth models.…”

Section: Software Reliability Predictionmentioning

confidence: 99%

The challenge of quantitative reliability

Blanks¹

1998

Qual. Reliab. Engng. Int.

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After examining the need of the equipment/system user to receive, collect, analyse and supply quantitative reliability information, this paper discusses the methods, existing and potential, of satisfying this need. It does so against the background of the now widely acknowledged inaccuracy of traditional methods of reliability prediction, the recognition that the conventional failure‐rate bathtub curve is an oversimplification and the difficulty of gathering adequate test and field failure data on increasingly high‐reliability product in an age of fast technology evolution and short new product lead‐time markets. There are three important tasks for the equipment user: (a) establishment of an efficient system of failure data collection and analysis; (b) utilization of these data in all business and organizational activities; (c) participation in the creation of an accurate method of reliability prediction by providing feedback of field reliability data to product manufacturers. © 1998 John Wiley & Sons, Ltd.

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Section: Software Reliability Predictionmentioning

confidence: 99%