Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
