Advanced Models for Software Reliability Prediction

Abstract: 2011 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must first be obtained from the IEEE.

This article describes the advanced parametric models for assessment and prediction of software reliability, based on statistics of bugs at the initial stage of testing. The parametric model approach, commonly associated with reliability issues, deals with the evaluation of the amount of bugs in the code. Computed parameter values inserted into the model allow to estimate: (a) number of bugs remaining in the product, and (b) time required to detect the remaining bugs.

Keywords: Failure Rate - Quality Assurance - Product Reliability - RAMS 2011 Proceedings - Software Reliability

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