Systematic literature review of machine learning based software development effort estimation models

J Wen, S Li, Z Lin, Y Hu, C Huang - Information and Software Technology, 2012 - Elsevier
CONTEXT: Software development effort estimation (SDEE) is the process of predicting the
effort required to develop a software system. In order to improve estimation accuracy, many …

A systematic review of machine learning techniques for GNSS use cases

A Siemuri, K Selvan, H Kuusniemi… - … on Aerospace and …, 2022 - ieeexplore.ieee.org
In terms of the availability and accuracy of positioning, navigation, and timing (PNT), the
traditional Global Navigation Satellite System (GNSS) algorithms and models perform well …

Improved estimation of software development effort using classical and fuzzy analogy ensembles

A Idri, M Hosni, A Abran - Applied Soft Computing, 2016 - Elsevier
Delivering an accurate estimate of software development effort plays a decisive role in
successful management of a software project. Therefore, several effort estimation …

On the value of parameter tuning in heterogeneous ensembles effort estimation

M Hosni, A Idri, A Abran, AB Nassif - Soft Computing, 2018 - Springer
Accurate estimation of software development effort estimation (SDEE) is fundamental for
efficient management of software development projects as it assists software managers to …

Data collection and analysis of GitHub repositories and users

F Chatziasimidis, I Stamelos - 2015 6th International …, 2015 - ieeexplore.ieee.org
In this paper, we present the collection and mining of GitHub data, aiming to understand
GitHub user behavior and project success factors. We collected information about …

On the value of filter feature selection techniques in homogeneous ensembles effort estimation

M Hosni, A Idri, A Abran - Journal of Software: Evolution and …, 2021 - Wiley Online Library
Software development effort estimation (SDEE) remains as the principal activity in software
project management planning. Over the past four decades, several methods have been …

Investigating the use of moving windows to improve software effort prediction: a replicated study

C Lokan, E Mendes - Empirical Software Engineering, 2017 - Springer
To date most research in software effort estimation has not taken chronology into account
when selecting projects for training and validation sets. A chronological split represents the …

Software productivity in practice: A systematic mapping study

CHC Duarte - Software, 2022 - mdpi.com
Practitioners perceive software productivity as one of the most important subjects of software
engineering (SE) because it connects technical to social and economic aspects …

Decision trees based software development effort estimation: A systematic mapping study

A Najm, A Zakrani, A Marzak - 2019 International Conference of …, 2019 - ieeexplore.ieee.org
The decision tree (DT) represents a nonparametric estimation method that has been mostly
used for both classification and regression problems. DTs were adopted for software …

Data cleaning techniques for software engineering data sets

GA Liebchen - 2010 - bura.brunel.ac.uk
Data quality is an important issue which has been addressed and recognised in research
communities such as data warehousing, data mining and information systems. It has been …