activity
20172022
most citedAn empirical evaluation of ensemble adjustment methods for analogy-based effort estimation

92 citations · 145 across the 23 of their papers we have counts for

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Showing cs.SEShow all

17 papers · 1 filter

cs.SE2022

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…

cs.SE20229 cited

Software Defect Prediction Using Support Vector Machine

Haneen Abu Alhija, Mohammad Azzeh, Fadi Almasalha

Software defect prediction is an essential task during the software development Lifecycle as it can help managers to identify the most defect-proneness modules. Thus, it can reduce…

cs.SE20229 cited

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…

cs.SE2021

Empirical Analysis on Productivity Prediction and Locality for Use Case Points Method

Mohammad Azzeh, Ali Bou Nassif, Cuauhtemoc Lopez Martin

Use Case Points (UCP) method has been around for over two decades. Although, there was a substantial criticism concerning the algebraic construction and factors assessment of UCP,…

cs.SE2020

Predicting Software Effort from Use Case Points: A Systematic Review

Mohammad Azzeh, Ali Bou Nassif, Imtinan Attili

Context: Predicting software project effort from Use Case Points (UCP) method is increasingly used among researchers and practitioners. However, unlike other effort estimation doma…

cs.SE2019

Software Development Effort Estimation Using Regression Fuzzy Models

Ali Bou Nassif, Mohammad Azzeh, Ali Idri +1

Software effort estimation plays a critical role in project management. Erroneous results may lead to overestimating or underestimating effort, which can have catastrophic conseque…