Open AccessThe Nexus between the Machine Learning Techniques and Software Project Estimation
Author(s) -
Md. Shelim Miah,
Mahesh Babu Pasupuleti,
Harshini Priya Adusumalli
Publication year - 2021
Publication title -
global disclosure of economics and business
Language(s) - English
Resource type - Journals
eISSN - 2307-9592
pISSN - 2305-9168
DOI - 10.18034/gdeb.v10i1.627
Subject(s) - computer science , project management , software project management , artificial intelligence , machine learning , context (archaeology) , software , nexus (standard) , promotion (chess) , project based learning , software engineering , plan (archaeology) , software development , systems engineering , engineering , programming language , software construction , paleontology , politics , law , political science , embedded system , biology , history , archaeology
Machine Learning is an application of artificial intelligence that allows computers to learn and develop without explicit programming. In other words, the goal of ML is to let computers learn on their own without human involvement and then alter their activities. ML also allows huge data processing. Project management planning and evaluation are vital in project execution. Project management is difficult without a realistic and logical plan. We give a complete overview of works on Machine Learning in Software Project Management. The first category contains software project management research articles. The third category includes research on the phases and tests that are the parameters used in machine-learning management and the final classes of the results from the study, contribution of studies in production, and promotion of machine-learning project prediction. Our contribution also provides a broader viewpoint and context for future project risk management efforts. In conclusion, machine learning is more successful in reducing project failure probabilities, increasing output ratio for growth, and facilitating analysis on software fault prediction based on accuracy.