operational phases. Please note that some file types are incompatible with some mobile and tablet devices. cette évolution a pour origine soit des corrections, soit des changements de spécifications, situation couramment appelé "croissance de fiabilité", French National Centre for Scientific Research, Reliability analysis of systems based on software and human resources, A Measurement-Based Framework for Software Reliability Improvement, Software-Reliability Modeling: The Case for Deterministic Behavior, Better reliability assessment and prediction through data clustering, Vulnerability Discovery & Software Security, Analyzing Trends for Maintenance Request Process Assessment: Empirical Investigation in a Very Small Software Company, Fiabilité du logiciel : de la collecte des données à l'évaluation probabiliste, A time/structure based software reliability model, Applying Software Reliability Models on Security Incidents, International Symposium on Software Reliability Engineering, Software Reliability Trend Analyses: From Theoretical to Practical Considerations, Software reliability and system reliability, The Role of Trend Analysis in Software Development and Validation. The tool implements a global method for All rights reserved. Typically, it is implemented either as an analysis of variance (ANOVA) for quantitative variables or as a regression analysis. parts. It is intended to show how reliability trend analyses can help the project manager in controlling the progress of the development activities and in appreciating the efficiency of the test programs. Accidents are the outcome of a composite causal scenario

The ENHPP model offers a unifying framework for These models are normally based on stochastic processes, with the nonhomogeneous Poisson process being one of the most prominent model forms. These security incidents can lead to direct financial losses either through data theft of personal and/or proprietary information as well as a reputational damage which may negatively impact stock prices or consumer confidence in a company. The authors present the method, the trend, Dans ce mémoire nous nous intéressons à l'évaluation de la sûreté de fonctionnement d'un système informatique et plus particulièrement du logiciel. They are merely outlined in this section, as more details can be fond in our previous published papers (see e.g.. ... [Grady and Caswell 1987;Ross 1989]). This use of DCRM1 is similar to trend analysis for software failure data in [8], where the super-additive curve for Fig. environments. This paper extends these methods to study the reliability growth models implemented by SoRel, show how these features Safety-critical systems require an assessment activity to verify pattern. The Laplace test is used to ascertain whether or not there exists a trend in the rate of the events being studied (vulnerability detection events, in this case). Nous considérons à la fois les aspects de fiabilité (prise en compte des temps hors défaillance uniquement) et de disponibilité (prise en compte simultanée des temps hors défaillance et des temps où le système est défaillant. We first present the objectives of data collection programs, report some success stories related to software reliability improvement, then discuss the practical aspects of data collection, validation and processing before giving recommendations for successful data collection and analysis programs.

in the testing phase. We examine the full set of incidents as well as subsets of the data based on incident types. critical systems are usually based on techniques and methods that

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