Abstract
Developing Software through a globally distributed team is a modern trend, which is not only cost effective but also yields best project results mitigating risk and increasing return on investment. This is easily achieved by ensuring through put in production is maintained at all times irrespective of the clock time and geographical boundaries. This shift of phenomenon is happening across the board as more and more companies use this as a strategic tool. Modern day technology makes this all possible, without compromising quality, coding practices and project management techniques. In this paper we have researched several papers (2008 to 2018) and understood the data for soft computing to provide a strong basis for future directions
Highlights
In the past century, technological advancements have drastically altered the outlook of the professional world [1], [2]
This poses a big risk when working in Global software development (GSD) type of environment and must be dealt with early in the project management phases [9]
Researchers in [17] discussed about software project risk analysis using Bayesian network. They utilised the data collected from 302 software projects and demonstrated that their suggested model performs better compared to other predictive techniques and algorithms
Summary
Technological advancements have drastically altered the outlook of the professional world [1], [2]. Software industry is expanding at a very exponential growth rate It forms a major stake in the global economy. A style of management that works with people of culture A will or may turn tables upside down with people of culture B This is a very inherent risk that comes under the belt!. With time human resources are perceived like robotic resources, who can be popped tasks, and expect to deliver them - like a machine This poses a big risk when working in GSD type of environment and must be dealt with early in the project management phases [9]. Last section will conclude this paper along with discussing future research directions
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