CONTEXT: Software development effort estimation (SDEE) is the process of predicting the
effort required to develop a software system. In order to improve estimation accuracy, many …

Context Software effort estimation (SEE) is most crucial activity in the field of software
engineering. Vast research has been conducted in SEE resulting into a tremendous …

Context Due to the complex nature of software development process, traditional parametric
models and statistical methods often appear to be inadequate to model the increasingly …

The operating parameters of a tunnel boring machine (TBM) reflect its geological conditions
and working status and are accordingly critical data for ensuring safe and efficient tunnel …

To achieve highly efficient and environmentally degradable adsorbents for Congo red (CR)
removal, we synthesized a dual-network nanocomposite cryogel composed of …

Software development effort estimation (SDEE) is recognized as vital activity for effective
project management since under or over estimating can lead to unsuccessful utilization of …

Context Software maintenance (SM) has to be planned, which involves SM effort prediction.
One type of SM is enhancement, where new functionality is added or existing functionality …

Recent studies have reported that Support Vector Regression (SVR) has the potential as a
technique for software development effort estimation. However, its prediction accuracy is …

Context: software development effort estimation is a crucial management task that critically
depends on the adopted size measure. Several Functional Size Measurement (FSM) …

Abstract The Software Effort Estimation (SEE) process has been approached in different
ways in the literature, including models built from Machine Learning (ML). The combination …