PROMISE 2021 – Proceedings

17th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2021)

Frontmatter

Papers

Heterogeneous Ensemble Imputation for Software Development Effort Estimation
Ibtissam Abnane, Ali Idri, Mohamed Hosni, and Alain Abran
(Mohammed V University, Morocco; Mohammed VI Polytechnic University, Morocco; Moulay Ismail University, Morocco; University of Quebec, Canada)

Publisher's Version Article: fsews21promisemain-p4-p (type: Full Paper) doi:10.1145/3475960.3475984

Multi-stream Online Transfer Learning for Software Effort Estimation: Is It Necessary?
Leandro L. Minku
(University of Birmingham, UK)

Publisher's Version Article: fsews21promisemain-p58-p (type: Full Paper) doi:10.1145/3475960.3475988

Comparative Study of Random Search Hyper-Parameter Tuning for Software Effort Estimation
Leonardo Villalobos-Arias and Christian Quesada-López
(University of Costa Rica, Costa Rica)

Publisher's Version Article: fsews21promisemain-p34-p (type: Full Paper) doi:10.1145/3475960.3475986

CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software
Guru Bhandari, Amara Naseer, and Leon Moonen
(Simula Research Laboratory, Norway)

Publisher's Version Published Artifact Artifacts Available Article: fsews21promisemain-p11-p (type: Full Paper) doi:10.1145/3475960.3475985

A Classification of Code Changes and Test Types Dependencies for Improving Machine Learning Based Test Selection
Khaled Al-Sabbagh, Miroslaw Staron, Regina Hebig, and Francisco Gomes
(Chalmers University of Technology, Sweden; University of Gothenburg, Sweden)

Publisher's Version Article: fsews21promisemain-p38-p (type: Full Paper) doi:10.1145/3475960.3475987

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