Multi up gradation model under distributed environment

In the prevailing scenario, development of distributed systems is gaining popularity to get the benefits of early and enhanced developments. Software Reliability Growth Models (SRGMs) play a significant role in quantitative assessment of software reliability. Software´s developed in Distributed Development Environment (DDE) are characterized by enhanced availability and increased reliability. Software with their components developed in distributed environment show an astounded trend as they have high speed and elevated reliability performance. In this study we present multi-up gradations modeling for removal of fault for newly developed and reused components in distributed environment using probability distribution functions. Explicit expressions for the mean number of individual types of faults are obtained by considering `n´ reused components and `p´ newly developed components. And for such systems, we have used some probability distribution functions for finding best method to capture the faults lying dormant in the system and likewise have selected accurate SRGM for distributed environment. Due to uncertain market forces and stout contention, the developers cannot satisfy the customers with software having static and limited functionalities. Customers generally expect periodic modifications and add-ons in the software to maintain their inclination towards the same product. To keep a pace with these fast changing preferences of the customers, distributed development environment with multiple periodic up-gradations is the need of hour, hence turning the customer´s urge to developer´s obligation. We are introducing a modeling framework of a software which is developed under distributed environment and upgraded time to time. To validate the analytical results of the proposed framework, numerical illustration is provided.