92 citations · 125 across the 10 of their papers we have counts for
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…
Software stage-effort estimation based on association rule mining and fuzzy set theory
Mohammad Azzeh, Peter I Cowling, Daniel Neagu
Relaying on early effort estimation to predict the required number of resources is not often sufficient, and could lead to under or over estimation. It is widely acknowledge that t…
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…
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…