Software Reliablity Using Markov Chain Usage Model

نویسندگان

  • Md. Shazzad Hosain
  • Md. Shamsul Alam
چکیده

The work described in this paper is an investigation of applying Markov chain techniques to measure software reliability. An example is taken from database based application software to develop two stochastic models called usage model and testing model for the software. The log likelihood ratio i.e. D (U, T) of two stochastic processes tells us how similar these processes are. This information is used to determine reliability of the example software. The results prove the viability and effectiveness of the approach to measure software reliability for large and complicated systems.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Software Reliability Test Based on Markov Usage Model

The reliability test for embedded software system is very difficult due to its complex structure and large scale. Markov usage model which describes the software usage with Markov process is widely used for statistical test. Software statistical test based on Markov usage model is an effective approach to the generation of test cases with high efficiency and the evaluation of software reliabili...

متن کامل

A Dynamic Usage Modelling Approach to Software Reliability Engineering

In software reliability engineering, reliability models have been in focus for years, while less attention has been given to usage models, which are necessary for usage based testing. The state hierarchy usage model is designed to capture the complex and dynamic usage behaviour for large real-time software systems, for example telecommunication systems. It provides a practical approach to usage...

متن کامل

Software Reliability Using Markov Chain Usage Model

The work described in this paper is an investigation of applying Markov chain techniques to measure software reliability. An example is taken from database based application software to develop two stochastic models called usage model and testing model for the software. The log likelihood ratio i.e. D (U, T) of two stochastic processes tells us how similar these processes are. This information ...

متن کامل

Markov Chain Analogue Year Daily Rainfall Model and Pricing of Rainfall Derivatives

In this study we model the daily rainfall occurrence using Markov Chain Analogue Yearmodel (MCAYM) and the intensity or amount of daily rainfall using three different probability distributions; gamma, exponential and mixed exponential distributions. Combining the occurrence and intensity model we obtain Markov Chain Analogue Year gamma model (MCAYGM), Markov Chain Analogue Year exponentia...

متن کامل

Development of Markov Chain Grey Regression Model to Forecast the Annual Natural Gas Consumption

Accurate forecasting of annual gas consumption of the country plays an important role in energy supply strategies and policy making in this area.  Markov chain grey regression model is considered to be a superior model for analyzing and forecasting annual gas consumption.  This model Markov is a combination of the Markov chain and grey regression models. According to this model, the residual er...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2004