Predicting the Cost Estimation of Software Projects Using Case-based Reasoning

Many models to estimate the cost of software projects were devised during the last three decades [1], [3]. Although until now there is no perfect model that can estimate the cost precisely, the estimations varies to be over-estimated that may lead to using the resources inefficiently and losing a lot of business opportunities or under-estimated that may lead to delaying the final software product delivery, project management problems arises, unexpected increase in budget, and low quality of software projects [2]. As a result no accurate decision can be made due to the lack of consistency, this makes the senior project managers depend on their experience to reach the final decision to proceed or cancel the project [4]. In this paper, we apply the artificial intelligence methodology Case-Based Reasoning (CBR) upon an open source software projects dataset in order to assist the project managers to grasp the appropriate cost estimation of a software project.