Task distribution algorithm in distributed team of software developers based on PSO algorithm

Abstract

Research in the field of software engineering focuses extensively on the software development process. Nowadays, companies offering software development services are engaged in a competition to provide superior quality software products. This competition creates opportunities for enlarging their customer base, expanding the company's scale, and increasing the volume of orders. A crucial factor in achieving these objectives lies in the effectiveness of task allocation within distributed software development teams. Streamlining task allocation facilitates swift product development and ensures the delivery of high-caliber software, thereby minimizing downtime and resource expenditure. In the study titled "Task Allocation Algorithm in Distributed Software Development Teams based on PSO," the potential application of the PSO algorithm for task allocation is examined. The PSO algorithm operates by emulating the behavior of a swarm of particles in pursuit of the optimal solution, rendering it potentially beneficial for optimization tasks amidst uncertain and fluctuating work environments. The primary aim of this research is to assess the efficacy of PSO in enhancing task allocation processes. This endeavor holds promise for reducing planning duration, enhancing productivity, and elevating the quality of software development outcomes.