Abstract: Effective management of complex software projects depends on the knack to solve complex problems. Most inquiries on software project management do not pay enough attention to perplexing problems such as employee-to-task assignments, since it requires optimal schedules, vigilant use of resources and matching the skill set of the employee to the requirements. The existing methods do not considered the user acquaintance while performing the event based scheduling task. To overcome this problem, this research presents, novel scheduling tactic that considers both employee experience and other expertise for scheduling task by proposed paradigm Fuzzy C Means (FCM) clustering method. The projected FCM method, groups the analogous user experience based on the working skills and experience. In Event Based Scheduler (EBS), the events are staring time of the project, the resources released time from the completed tasks and the employees join or , leave time. Project planning problem for each cluster in the EBS is solved by using the Artificial Bee Colony (ABC) algorithm. Experimental results validate that the proposed FCM-EBS with ABC produceprompting values.
Sarojini Yarramsetti and G. Kousalya, 2016. FCM Clustering and Experience Based ABC for Software Project Scheduling with EBS. Asian Journal of Information Technology, 15: 4851-4860.