TY  - JOUR
T1  - FCM Clustering and Experience Based ABC for Software Project
Scheduling with EBS
AU - Yarramsetti, Sarojini AU - Kousalya, G. 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 23
SP  - 4851
EP  - 4860
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.4851.4860
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.4851.4860
KW  - Artificial Bee Colony (ABC)
KW  -Event Based Scheduler (EBS)
KW  -Fuzzy C Means (FCM)
KW  -Resource Constrain Project Scheduling Problem (RCPSP)
KW  -software project planning
KW  -task scheduling
AB  - 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.
ER  -