A Prediction Model addressing the Changes and Challenges in Adopting SEaaS Model during COVID-19
Keywords:
Software Engineering, COVID-19, Software as a Service, Prediction ModelsAbstract
During this world-wide universal lockdown period, software companies are trying to find a possible solution to keep up their everyday activities. Software Engineering as a Service (SEaaS) will be able to provide support to the processes which they have been doing in the software development lifecycle (SDLC). Elaborately, SEaaS model has the ability to intelligently provision the design, development, testing, deployment and maintenance of the software. Pre-COVID-19 and conventionally, software design and development happens within the corporate’s boundary which always requires up-front investments, planning, procurement of infrastructure, purchase of software tools and space for development. During this COVID-19 lock-down and post this period, SEaaS will take care of the complete SDLC processes, and provision an end-to-end design and development model. This migration of on-campus development to off-campus (SEaaS cloud based) development is not without challenges and the changes that are needed at the SDLC process level. This paper addresses the changes that will be needed and the challenges that need to be addressed when software development enterprises adopt their design and development processes and environment to SEaaS model. Also a machine learning model predicting the scope of SEaaS in the Off-Campus is built, scoring a significant fit in the prediction model.
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