The Success of software development is based on the developers involvement and the adapted software architectures. The software development activities are highly dependent one with another in all its phases. The software development activities and its dependency of the internal activities are influences the quality of the software. The Associative analysis of software development which is focused to determine to identify the potential developers in line with the software development models. The potential software developer is identified based on the cumulative weight of developers contribution on each phases and its activities weight. The activity relationships are presented as a unit matrix and the common phase activity is calculated to determine dependency between the phases in each module, projects as per the selected as per the selected software architecture. A neural network model is constructed and identifies the developers weight related to their interaction between one phase of the project to another on the same project. The occurrence relationship and its frequency values are obtained according to the number of activities involved by each developer in their entire development process. The weight values supported to identify the influencing factors of the developers in different models. It will leads to identify the potential developers, future project planning and business planning activities.