High maturity in software development involves statistically controlling the performance of
critical subprocesses and using the predictability thus gained to manage projects with better …

Software defect prediction contributes to ensuring the quality of software development and
reducing software maintenance costs. However, the class imbalance problem can affect the …

Many information technology firms among other organizations have been working on how to
perform estimation of the resources such as fund and other resources during software …

This paper presents optimized linear regression with multivariate adaptive regression
splines (LR‐MARS) for predicting crude oil demand in Saudi Arabia based on social spider …

Crude oil prices play a significant role in the global economy, therefore accurate prediction
of oil prices is very important. Therefore, a forecasting model is needed to predict Crude Oil …

Abstract Software Development Organizations (SDO) develop a massive number of projects
per year. One of the elementary and significant features of any SDO is to use a tool that can …

The study presents the implementation of machine learning regression techniques to predict
burned areas of forest fires. The data set used in this paper is presented in UCI machine …

The purpose of this study is to apply a linear regression algorithm to predict the accuracy of
product shipments using administration, production and delivery as attributes that will be …

Nowadays, software cost estimation (SCE) with machine learning techniques are more
performance than other traditional techniques which were based on algorithmic techniques …

One of the most valuable asset in any software industry is the correct estimation of effort and
hence cost estimation (CE) of the software to be developed by them. Although several CE …