ESEIW 2026: Empirical Software Engineering International Week
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Día de Entrega:
2026-05-11
Fecha de Notificación:
2026-06-30
Fecha de Conferencia:
2026-10-04
Ubicación:
Munchen, Germany
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Solicitud de Artículos
ESEIW 2026 (Empirical Software Engineering International Week) is an academic conference held in Munchen, Germany on 2026-10-04. The paper submission deadline is 2026-05-11. Acceptance notifications are sent on 2026-06-30.
We invite submissions to the following tracks related to the topics of interest of the conference.
Technical Papers
Industry Papers
Emerging Results and Vision Papers
Journal-First Papers
Find detailed submission information on our website: http://esem2020.di.uniba.it
General Scope of Submissions
Work submitted must fit within the specific scope of each track, as detailed below. Submissions in all tracks should not be under consideration for publication or presentation elsewhere.
In addition to the specific scope of each track, submissions may address any aspect of software engineering but must tackle the problem from an empirical perspective and using a rigorous empirical method, including:
Empirical studies using qualitative, quantitative, and mixed methods
Cross- and multi-disciplinary methods and studies
Experiments and quasi-experiments
Case studies, action research, ethnography and field studies
Survey research
Simulation
Artifact studies
Data mining, machine learning, and AI-based approaches
Secondary and tertiary studies including
Systematic literature reviews that include a strong synthesis part
Meta-analysis, qualitative and quantitative synthesis of studies
Replication of empirical studies and families of studies
Topics commonly addressed using an empirical approach include, but are not limited to:
Evaluation and comparison of software technologies
Evaluation and comparison of software development methods, techniques, and practices
Modeling, measuring, and assessing product and/or process quality
Modeling, measuring, and assessing software development productivity
Defect and quality prediction
Software cost and size estimation
Software evolution
Software verification and validation, including analysis and testing
Evaluation and modeling of contemporary software systems (IoT, Industry 4.0, Context-Awareness Systems, Cyber-physical, among others)
Human factors, teamwork, and behavioral aspects of software engineering
We welcome submissions on these meta-topics:
Development, evaluation, and comparison of empirical approaches and methods
Infrastructure for conducting empirical studies
Techniques and tools for supporting empirical studies
Empirically-based decision making
We also welcome submissions that:
demonstrate multi-disciplinary work,
transfer and apply empirical methods from other disciplines,
replication studies, and
studies with negative findings.