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 – Preliminary Table of Contents

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 Aljamaan and Amal Alazba
(King Fahd University of Petroleum and Minerals, Saudi Arabia; King Saud University, Saudi Arabia)
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Improving Real-World Vulnerability Characterization with Vulnerable Slices
Solmaz Salimi, Maryam Ebrahimzadeh, and Mehdi Kharrazi
(Sharif University of Technology, Iran)
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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)
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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)
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Fault-Insertion and Fault-Fixing: Analysing Developer Activity over Time
David Bowes, Giuseppe Destefanis, Tracy Hall, Jean Petric, and Marco Ortu
(Lancaster University, UK; Brunel University, UK; University of Cagliari, Italy)
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Identifying Key Developers using Artifact Traceability Graphs
H. Alperen Çetin and Eray Tüzün
(Bilkent University, Turkey)
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SEERA: A Software Cost Estimation Dataset for Constrained Environments
Emtinan I. Mustafa and Rasha Osman
(University of Khartoum, Sudan)
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An Exploratory Study on Applicability of Cross Project Defect Prediction Approaches to Cross-Company Effort Estimation
Sousuke Amasaki, Hirohisa Aman, and Tomoyuki Yokogawa
(Okayama Prefectural University, Japan; Ehime University, Japan)
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