94 citations
- University of SharjahAE3 papers
- Western UniversityCA3 papers
- Community Sector Council Newfoundland and LabradorCA1 paper
- Faculty (United Kingdom)GB1 paper
- Memorial University of NewfoundlandCA1 paper
- National Research Council CanadaCA1 paper
- University of BirminghamGB1 paper
- University of Detroit MercyUS1 paper
10 papers
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…
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…
Dataset Quality Assessment: An extension for analogy based effort estimation
Mohammad Azzeh
Estimation by Analogy (EBA) is an increasingly active research method in the area of software engineering. The fundamental assumption of this method is that the similar projects in…
An empirical evaluation of ensemble adjustment methods for analogy-based effort estimation
Mohammad Azzeh, Ali Bou Nassif, Leandro L Minku
Objective: This paper investigates the potential of ensemble learning for variants of adjustment methods used in analogy-based effort estimation. The number k of analogies to be us…
Model tree based adaption strategy for software effort estimation by analogy
Mohammad Azzeh
Background: Adaptation technique is a crucial task for analogy based estimation. Current adaptation techniques often use linear size or linear similarity adjustment mechanisms whic…
Fuzzy Model Tree For Early Effort Estimation
Mohammad Azzeh, Ali Bou Nassif
Use Case Points (UCP) is a well-known method to estimate the project size, based on Use Case diagram, at early phases of software development. Although the Use Case diagram is wide…