Aim & Scope
Empirical Software Engineering provides a forum for applied software engineering research with a strong empirical component, and a venue for publishing empirical results relevant to both researchers and practitioners. Empirical studies presented here usually involve the collection and analysis of data and experience that can be used to characterize, evaluate and reveal relationships between software development deliverables, practices, and technologies. Over time, it is expected that such empirical results will form a body of knowledge leading to widely accepted and well-formed theories. The journal also offers industrial experience reports detailing the application of software technologies - processes, methods, or tools - and their effectiveness in industrial settings. Empirical Software Engineering promotes the publication of industry-relevant research, to address the significant gap between research and practice. [1]
2024 - VOLUME 29, ISSUE 5
Systematic Evaluation of Deep Learning Models for Log-based Failure Prediction
F Hadadi , J Dawes , D Shin , ... , L Briand
Empirical Software Engineering , 2024 - VOLUME 29, ISSUE 5
A comprehensive analysis of challenges and strategies for software release notes on GitHub
J Wu , H He , K Gao , ... , M Zhou
Empirical Software Engineering , 2024 - VOLUME 29, ISSUE 5
Does using Bazel help speed up continuous integration builds?
Empirical Software Engineering , 2024 - VOLUME 29, ISSUE 5
An empirical study on cross-component dependent changes: A case study on the components of OpenStack
Empirical Software Engineering , 2024 - VOLUME 29, ISSUE 5
Fixing Dockerfile smells: an empirical study
G Rosa , F Zappone , S Scalabrino , R Oliveto
Empirical Software Engineering , 2024 - VOLUME 29, ISSUE 5
Design smells in multi-language systems and bug-proneness: a survival analysis
M Abidi , M Rahman , M Openja , F Khomh
Empirical Software Engineering , 2024 - VOLUME 29, ISSUE 5
Editorial Retractions, Expressions of Concern and External Notices
RETRACTED ARTICLE: Facilitating debugging of web applications through recording reduction
M Hammoudi , A Alakeel , B Burg , ... , G Rothermel
Empirical Software Engineering2018 - VOLUME 23, ISSUE 6 p 3821.
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“Evidence of fabricated data” leads to retraction of paper on software engineering
Retraction Watch
2019 - VOLUME 2019, ISSUE 1, January
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