Fault Seeding Models and Input Domain Based Models for Software Reliability Measurement and Improvement
نویسندگان
چکیده
16TAbstract— Reliability is the important aspect of software . Software Quality is important factor when we design a software..The software quality depends on different factors such as software reliability, efficiency, cost etc. Software Reliability determine the probability of failure-free software operation for a specified period of time in a particular environment. Software Reliability can be categorized into 3 parts: modelling, measurement & improvement. In this paper, we have describe the software reliability as the measure of software quality. Reliable software is able to accomplish the better achievement and allows software to work properly in a specified environment. [1,2]
منابع مشابه
Important Milestones in Software Reliability Modeling
A number of software reliability models have been proposed for assessing the reliability of a software system. In this paper, we discuss the time-domain and data-domain approaches to software reliability modeling, and classify the previously reported models into these two classes based on their underlying assumptions. The data-domain models are further classiied into fault-seeding and input dom...
متن کاملReliability Models Data Domain Time Domain Homo
A number of software reliability models have been proposed for assessing the reliability of a software system. In this paper, we discuss the time-domain and data-domain approaches to software reliability model-ing, and classify the previously reported models into these two classes based on their underlying assumptions. The data-domain models are further classiied into fault-seeding and input do...
متن کاملDesign of nonlinear parity approach to fault detection and identification based on Takagi-Sugeno fuzzy model and unknown input observer in nonlinear systems
In this study, a novel fault detection scheme is developed for a class of nonlinear system in the presence of sensor noise. A nonlinear Takagi-Sugeno fuzzy model is implemented to create multiple models. While the T-S fuzzy model is used for only the nonlinear distribution matrix of the fault and measurement signals, a larger category of nonlinear systems is considered. Next, a mapping to decou...
متن کاملCENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE LABORATOIRE D'ANALYSE ET D'ARCHITECTURE DES SYSTÈMES An Input Domain-Based Reliability Growth Model and Its Applications in Comparing Software Testing Strategies
Existing input domain-based reliability models do not account for software reliability growth, because they do not consider fault corrections. This paper proposes an input domain-based reliability growth model with fault correction history being taken into account. Both partition and random testing can be used to generate input cases for test runs. It is generally considered in the model that i...
متن کاملModel-based Approach for Multi-sensor Fault Identification in Power Plant Gas Turbines
In this paper, the multi-sensor fault diagnosis in the exhaust temperature sensors of a V94.2 heavy duty gas turbine is presented. A Laguerre network-based fuzzy modeling approach is presented to predict the output temperature of the gas turbine for sensor fault diagnosis. Due to the nonlinear dynamics of the gas turbine, in these models the Laguerre filter parts are related to the linear d...
متن کامل