Conclusions Quality assurance as such is mainly a question of attitudes and behaviour. It is difficult to induce doctors to modify their behaviour by pressures other than from inside the profession. In France there are three types of understanding of medical evaluation: that of the official bodies and evaluation units of hospitals, who try to define and disseminate actual quality assurance; tha...

While learning systems offer great promise in reducing cost and improving quality of control applications [12, 11], they also raise thorny issues in terms of the mismatch between the quality standards that these systems must achieve [10] and the available technology. There is widespread agreement [7, 8, 9, 12, 11] that current verification technology does not apply to online learning systems, w...

Introduction: Electronic portal imaging devices (EPIDs) provide two- and three-dimensional planar and volumetric cone beam images to improve the accuracy of radiation treatment delivery. Periodic quality assurance (QA) of EPIDs is essential for dosimetric verification in radiotherapy. In this study, a QA program was implemented to evaluate the function of the EPID to be confident in applying co...

This is a survey of software quality metrics. Definitions of the terms quality and software quality found in the literature are presented. A note on the difference between the use of software metrics and software quality assurance is given. A classification of software quality metrics is presented. The classification is: classical, product and process metrics. A number of different metrics rela...

Automatic Code Generation is an emerging technology that holds great promise for future generations of embedded systems. However, ACG raises many fundamental questions about model and code quality. A series of experiments promise to provide an enhanced approach to Software Quality Assurance in order to allow autocoding to become a trusted industrial solution for on board space software.

The overall safety integrity of a safety critical system, comprising both software and hardware, is typically specified quantitatively, e.g., in terms of failure rates. However, for software, it is widely accepted that there is a limit on what can be quantitatively demonstrated, e.g., by means of statistical testing and operational experience. To address this limitation, many software standards...

DI Inspection performance 0 0.1 Worse (W) 0.1 – 0.2 Very Low (VL) 0.2 – 0.3 Low (L) 0.3 – 0.4 Normal (N) 0.4 – 0.5 Above Normal (AN) 0.5 – 0.6 High (H) 0.6 – 0.7 Very High (AV) 0.7 – 0.8 Best (B) 0.8 – 0.9 Excellent (E) 0.9 1 Ideal (I) Introduction A defect in software is expensive especially when it dwells and manifests. One of the prevailing challenges in the software industry is therefore th...

This paper suggests a systematic orderly process based approach to stating software quality objec tives and knowing if and when they have been achieved We suggest that quality in software is a complex multifaceted array of characteristics and that it is important to establish speci c objectives along various software quality dimensions as requirements for software quality assurance determinatio...