ESEC/FSE 2020 Workshops
28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2020)
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16th ACM International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2020), November 8-9, 2020, Virtual, USA

PROMISE 2020 – Proceedings

Contents - Abstracts - Authors
Twitter: https://twitter.com/esecfse

16th ACM International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2020)

Frontmatter

Title Page
Welcome from the Chairs

Papers

Software Defect Prediction using Tree-Based Ensembles
Hamoud AljamaanORCID logo and Amal Alazba ORCID logo
(King Fahd University of Petroleum and Minerals, Saudi Arabia; King Saud University, Saudi Arabia)
Publisher's Version Info
Improving Real-World Vulnerability Characterization with Vulnerable Slices
Solmaz Salimi, Maryam Ebrahimzadeh, and Mehdi Kharrazi ORCID logo
(Sharif University of Technology, Iran)
Publisher's Version
Workload-Aware Reviewer Recommendation using a Multi-objective Search-Based Approach
Wisam Haitham Abbood Al-Zubaidi, Patanamon Thongtanunam, Hoa Khanh Dam, Chakkrit Tantithamthavorn, and Aditya Ghose
(University of Wollongong, Australia; University of Melbourne, Australia; Monash University, Australia)
Publisher's Version
Evaluating Hyper-parameter Tuning using Random Search in Support Vector Machines for Software Effort Estimation
Leonardo Villalobos-Arias, Christian Quesada-López, Jose Guevara-Coto, Alexandra Martínez, and Marcelo Jenkins
(University of Costa Rica, Costa Rica)
Publisher's Version
Fault-Insertion and Fault-Fixing: Analysing Developer Activity over Time
David Bowes ORCID logo, Giuseppe Destefanis, Tracy Hall ORCID logo, Jean Petric, and Marco Ortu
(Lancaster University, UK; Brunel University, UK; University of Cagliari, Italy)
Publisher's Version
Identifying Key Developers using Artifact Traceability Graphs
H. Alperen Çetin and Eray TüzünORCID logo
(Bilkent University, Turkey)
Publisher's Version Info
SEERA: A Software Cost Estimation Dataset for Constrained Environments
Emtinan I. Mustafa and Rasha Osman
(University of Khartoum, Sudan)
Publisher's Version
An Exploratory Study on Applicability of Cross Project Defect Prediction Approaches to Cross-Company Effort Estimation
Sousuke Amasaki ORCID logo, Hirohisa Aman ORCID logo, and Tomoyuki Yokogawa ORCID logo
(Okayama Prefectural University, Japan; Ehime University, Japan)
Publisher's Version

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