An Adaptive Fault Tolerance in Open Source Software

In this computerized world, software growth rate is increasing steadily. Some company‘s plays an important role in this growth by developing and releasing new software to lead a leading position in the software development process. In order to make the product to be used by most of the people, the company releases their product as free software. The free software is a open source software which can be downloaded and utilized by all kinds of user with free of cost. (i.e,) No cost for downloading the software. The open source software is the software that is developed without proper management. The quality and reliability of this software is not well designed. Since this software is an open source, the user is the only responsible person to solve all their problems faced in that software. The problem may arise while utilizing this software. Some of the problems faced by the user are they may not be aware of its purpose, performance, usefulness or there may occur some errors. Due to these problems, the user may get confused of whether use this software further or leave it and search for an alternate one. They may also search for an alternate if they not understand the errors occurred in this software. In such situation, the rate of people accessing this software becomes low. In order to help the users to manage the problems, we propose a fault tolerant technique in this paper. In this technique, the errors found in the open source software is automatically detected and reported. The fault tolerant is the technology that will tolerate the fault found in the software automatically and so the technology is termed as Automated Software. In this paper, we propose this fault tolerant technology in the open source software, to find the error rate automatically. Due to this automated technique, the rate of the people utilizing the software becomes more. The aim of the paper is to propose a strategy to determine the performance of the open source software by deducing the error found in that software. This aim has to be achieved by deriving an algorithm to open and read the software and also to determine the errors automatically. Thus this paper implements an effective methodology in order to make the open source software useful by means of an automated fault tolerant technique to deduct and report the error found in the software, and to decrease the problem rate and manual effort.