9 citations · 15 across the 4 of their papers we have counts for
4 papers
Locally Weighted Regression with different Kernel Smoothers for Software Effort Estimation
Yousef Alqasrawi, Mohammad Azzeh, Yousef Elsheikh
Estimating software effort has been a largely unsolved problem for decades. One of the main reasons that hinders building accurate estimation models is the often heterogeneous natu…
On the Value of Project Productivity for Early Effort Estimation
Mohammad Azzeh, Ali Bou Nassif, Yousef Elsheikh +1
In general, estimating software effort using a Use Case Point (UCP) size requires the use of productivity as a second prediction factor. However, there are three drawbacks to this…
Learning best K analogies from data distribution for case-based software effort estimation
Mohammad Azzeh, Yousef Elsheikh
Case-Based Reasoning (CBR) has been widely used to generate good software effort estimates. The predictive performance of CBR is a dataset dependent and subject to extremely large…
An Optimized Analogy-Based Project Effort Estimation
Mohammad Azzeh, Yousef Elsheikh, Marwan Alseid
Despite the predictive performance of Analogy-Based Estimation (ABE) in generating better effort estimates, there is no consensus on how to predict the best number of analogies, an…