Optimal Task Allocation Algorithm for Cost Minimization and Load Balancing of GSD Teams

 Abstract—In global software development partitioning of work into tasks and proper allocation of those tasks to sites are important factors to maximize the benefit of GSD and to cope with its challenges as well. This paper presents a mathematical model based on minimizing the cost and time and load balancing in global software development. It uses multi level clustering technique to reduce the inter-communication cost and optimally assign tasks to the sites. Primarily clustering is done for work division and secondly clustering is done at time of allocation of tasks. Task and site attributes are also considered during clustering. This model is implemented using MATLAB tool and task allocation example is used to compare its performance with other task allocation.