Jamal Krini

Extended approach to selecting a project-specific reliability growth model

The software reliability represents one of the most crucial aspects of functional safety. Software is used in almost any electronic systems. When a safety-critical system is considered, it has to be ensured that the software is able to fulfil the minimum safety requirements. If this is not the case, the software will have to be improved until the minimum requirements are fulfilled. Reliability growth models are used to determine the reliability of software. Depending on the area of application one specific model can deliver better prognosis results than another. This paper serves to introduce a methodology, which is provided for the purpose of selecting the most appropriate model.

Innovation for Failure Detection and Correction in Safety-Related Systems Which Based on a New Estimator

This scientific work presents a new method allowing to make a realistic prediction about reliability of safety related systems. The main feature of this method enables the prediction of an estimate of the remaining critical number of faults in systems. Stochastic play a very important role in safety technology. With the help of it, safety systems may be released reliably after an assessment. With the help of the probability theory meaningful statements are achieved and based on them, realistic forecasts may be given. However, in order that reliable forecasts can be conducted, new approaches in thinking need to be developed. The algorithm can provide an even more reliable prognosis than the conventional methods. Furthermore, the new method describes two processes for critical failures (detection and correction process). This contribution serves to give a short synopsis about the actual problem of the probabilistic safety technology on the base of stochastic. In that, the test methods, however, plays the most important role as the test results are source vectors for probabilistic models. However, this article tries to describe a suitable, innovative method that will correctly estimate the safety parameters.

Contribution to reducing the critical faults in critical Software Systems

The software reliability plays an important role nowadays. From year to year the systems become more and more complex. Consequently, the software becomes more and more complex, too and this can cause more software errors. In this paper a new method is introduced, which serves to predict the reliability of software in a better way. Furthermore, the presumption that the hazard rate is constant is rebutted and a more realistic assumption is made. It is demonstrated that by the use of the new approach the prediction of the number of remaining errors is possible in a better way.

New contribution to the analysis of stochastic processes for critical systems to increase reliability

The paper provides an overview of how to create an estimator focusing on failure-defection in safety related systems. Stochastic play a very important role in safety technology. With the help of it, safety systems may be released reliably after an assessment. With the help of the probability theory meaningful statements are achieved and based on them, realistic forecasts may be given. However, in order that reliable forecasts can be conducted, new approaches in thinking need to be developed. This paper serves to give a short synopsis about the actual problem of the probabilistic safety technology on the base of stochastic. In that, the test methods, however, plays the most important role as the test results are source vectors for probabilistic models. However, this paper tries to describe a suitable, innovative method that will correctly estimate the safety parameters. The first part explains the necessary basic tools. Furthermore, the safety technology is explained with stochastic playing a central role in it. Following this, the approach for the construction of the estimator is introduced. Concluding, the summary and an outlook will be given.

Investigation of a reliability prevention model for remanufactured systems in automotive

If safety related systems are remanufactured, as for example steering systems, the functionality, the functional safety, the reliability and the quality have to fulfill the series standards such as the E/E/PE standard IEC 61508 or the automobile standard ISO 26262. This paper examines an investigation with the objective to present a prevention model with which the reliability and the renewal function of safety components for remanufactured systems can predict. Failure data serve as a basis and make the predict model not only to a theoretical, but also to a practical tool.