Conference Information

ESEIW 2026: Empirical Software Engineering International Week

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Submission Date:
2026-05-11
Notification Date:
2026-06-30
Conference Date:
2026-10-04
Location:
Munchen, Germany
Viewed: 13277   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

43.8 / 100
Ranked #3,362 of 5,687 conferences · Top 60%

#186 of 247 in Software Engineering

Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%) No data - scored at the neutral baseline of 50 —
Community attention (10%)
10
Public record completeness (15%)
35

Inputs used: Researchers who opened this page in the past 24 months: 3

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 25% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-26

Call For Papers

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.
Last updated by Dou Sun on

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