An empirical analysis of data preprocessing for machine learning-based software cost estimation

J Huang, YF Li, M ** review
M Fernández-Diego… - Information and Software …, 2014 - Elsevier
Abstract Context The International Software Benchmarking Standards Group (ISBSG)
maintains a software development repository with over 6000 software projects. This dataset …

Learning to predict code review completion time in modern code review

M Chouchen, A Ouni, J Olongo… - Empirical Software …, 2023 - Springer
Abstract Modern Code Review (MCR) is being adopted in both open-source and proprietary
projects as a common practice. MCR is a widely acknowledged quality assurance practice …

Fake news analysis modeling using quote retweet

Y Jang, CH Park, YS Seo - Electronics, 2019 - mdpi.com
Fake news can confuse many people in the area of politics, culture, healthcare, etc. Fake
news refers to news containing misleading or fabricated contents that are actually …

Improving bug report triage performance using artificial intelligence based document generation model

DG Lee, YS Seo - Human-centric Computing and Information Sciences, 2020 - Springer
Artificial intelligence is one of the key technologies for progression to the fourth industrial
revolution. This technology also has a significant impact on software professionals who are …

[HTML][HTML] An efficient LMS platform and its test bed

S Jung, JH Huh - Electronics, 2019 - mdpi.com
In order to develop an e-learning system as a method of education that frees both the
teacher and learner from the constraints of time and space, it is necessary to develop …

The effect of Bellwether analysis on software vulnerability severity prediction models

PK Kudjo, J Chen, S Mensah, R Amankwah… - Software Quality …, 2020 - Springer
Vulnerability severity prediction (VSP) models provide useful insight for vulnerability
prioritization and software maintenance. Previous studies have proposed a variety of …

A preliminary investigation on using multi-task learning to predict change performance in code reviews

L Yang, H Zhang, J Xu, J Lyu, X Zhou, D Shao… - Empirical Software …, 2024 - Springer
The various performances of a change in code reviews have received growing concerns
from software organizations and researchers. Researchers have investigated these aspects …