Distributed Software Project Estimation Through Expert Judgement using Semantic Web Technologies

Abstract

Software industry is growing rapidly nowadays. A lot of emerging techniques are introduced day by day for developing software but According to various surveys in the IT industry, the success ratio of software projects is very low as 30-40% projects become successful. Software failure becomes high due to many factors. Some of these are wrong estimation, poor planning and management, communication gap, technical factors etc. According to previous studies, the software Project is to be done to develop some meaningful and valuable deliverable within a fixed schedule and specified budget. one of the most valuable assets in any software industry is the correct estimation of cost and schedule because it affects nearly all management activities, including resource allocation. Moreover, Software industry has a dynamic nature so it is difficult to get the correct time and cost estimation method. Time and cost are two main influencing factors. Accurate time and cost estimation of software projects is a big challenge for the IT industry. Therefore, it is need to develop the software in distributed systems to reduce the time and cost pressure because distributed systems allow to optimize the resources to develop high quality products while minimizing the cost and to engage the highly qualified teams from different remote zones by keep in view the factors like cultural differences, working conditions, habits of developers or professionals. More over uniform sharing of knowledge is also necessary to solve the problems and to minimize the communication gap. In this context, Semantic web provides these features of knowledge sharing, reduces the communication gap, integration, interoperability and extendibility. So, the goal of my research is to identify the technique which gives better results in time and cost estimation while working with semantic web.