ERP software and applications have become basic requirement of almost every organization in order to compete with each other and in time constraint. In order to develop an efficient application, project planning and analysis play very important role in better understanding of the problem domain and to provide a risk free solution. There are many different approaches which software developers used to develop the systems. These traditional approaches have some drawbacks and constraints. Either these are ad-hoc basis or have some fixed patterns and rules. We discussed all these techniques and suggest that planning and analysis of ERP application during its development can be done by applying more appropriate knowledge engineering commonKADS model. CommonKADS is a structured approach, It comprises of different model suites. Thesis presents that by using commonKADS model for project planning and analysis, real problem domain and efficient solution can be identified. Also domain process is identified. Tasks related to each process in the domain are identified. Knowledge assets related to each task are identified. These features help in defining real knowledge specification. In this way, ERP applications can be made knowledge based. ERP systems were introduced to solve different organizational problems and provide integrated structure. Although ERP packages offer advantages to enterprises, they have not achieved many of their anticipated benefits. Autonomous and heterogeneous applications co-exist in companies with ERP systems and integration problem having not been addressed. This thesis seeks to make some suggestions to this area by studying and analyzing ERP problems, through mapping commonKADS methodology in a case study. Thesis in start, presents an overview about ERP applications, Knowledge Engineering and commonKADS methodology. In the end, thesis presents our contribution a case study ―online courses Registration Portal for BTH which shows that planning and analysis of ERP applications by using commonKADS methodology helps in reaching knowledge based and more accurate solutions.