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20162022
most citedA Hybrid Model for Estimating Software Project Effort from Use Case Points

94 citations

Showing cs.SEShow all

13 papers · 1 filter

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.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…

cs.SE20181 cited

v-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects

Cuauhtemoc Lopez-Martin, Mohammad Azzeh, Ali Bou Nassif +1

An important product measure to determine the effectiveness of software processes is the defect density (DD). In this study, we propose the application of support vector regression…

cs.SE201727 cited

Analyzing the Relationship between Project Productivity and Environment Factors in the Use Case Points Method

Mohammad Azzeh, Ali Bou Nassif

Project productivity is a key factor for producing effort estimates from Use Case Points (UCP), especially when the historical dataset is absent. The first versions of UCP effort e…

cs.SE2017

Software effort estimation based on optimized model tree

Mohammad Azzeh

Background: It is widely recognized that software effort estimation is a regression problem. Model Tree (MT) is one of the Machine Learning based regression techniques that is usef…