• Gouri Vaidya

In this paper we have done an extensive review of the work done by the researchers in the area of real-time decision making systems. The performance evaluation using ML/DL techniques have been discussed for the various quality parameters used by the researchers to monitor performance of the systems. Based on our review we concluded that very few researchers have done work on real-time decision making system and its performance analysis using DL and ML techniques. We have also stated research gaps and research questions based on our literature review. We have identified our future objectives as to find shortcomings in existing RTDM for specific IT systems, specific Machine learning and Deep learning algorithms that will support in enhancing the real-time decision making systems and to create a quality engineering architecture/framework for specific RTDM in IT systems.

Real-time, Decision Making, non-functional requirements, Machine Learning, Deep Learning

"Designing a Machine Learning and Deep Learning based Quality Engineering Framework for Real-time Decision Making IT systems", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 9, page no.c202-c210, September-2022, Available :http://www.jetir.org/papers/JETIR2209244.pdf

"Designing a Machine Learning and Deep Learning based Quality Engineering Framework for Real-time Decision Making IT systems", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 9, page no. ppc202-c210, September-2022, Available at : http://www.jetir.org/papers/JETIR2209244.pdf