ESEM Technical Papers TrackESEIW 2022

ESEM 2022 - Technical Papers Track - Call for Papers

The ESEM Technical Papers track features submissions that describe original, unpublished work in software engineering and software measurement, with a strong empirical foundation. Papers in this track should communicate fully developed research and related results. Strong emphasis should be given to the methodological aspects of the research and the discussion on the validity of results.

Please note:

• Check that you are using the two-column template (in LaTeX, use “sigconf”).
• Make sure your paper follows the double-blind instructions and does not reveal the authors’ identities.

General Scope of Submissions

Submissions should not be under consideration for publication or presentation elsewhere. In addition to the specific scope of this 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 and rapid reviews that include a strong synthesis part
  • Meta-analyses, and qualitative, quantitative or structured syntheses 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.

Important Dates

(All dates are end of the day, anywhere on earth)
Abstract April 25, 2022
Submission May 2, 2022
Notification June 17, 2022
Camera-ready July 15, 2022

Submission Link: https://easychair.org/my/conference?conf=esem22

How to Submit

Submissions to this track are limited to 10 pages excluding references and 12 pages with references and must be submitted through EasyChair by selecting the track “Technical Papers.”

All submissions must be written in English and must be submitted via EasyChair (https://easychair.org/my/conference?conf=esem22) in the PDF format, and they must be formatted according to the ACM proceedings template, which can be found at ACM Proceedings Template (https://www.acm.org/publications/proceedings-template).

A structured abstract is required with the headings: Background, Aims, Method, Results, and Conclusions. Papers should contain an explicit description of the empirical strategy used or investigated. The submission must also comply with the ACM plagiarism policy and procedures (http://www.acm.org/publications/policies/plagiarism_policy). In particular, it must not have been published elsewhere and must not be under review elsewhere while under review for ESEM. The submission must also comply with the IEEE Policy on Authorship (http://ieeeauthorcenter.ieee.org/publish-with-ieee/publishing-ethics/).

ESEM 2022 Technical Track will employ a double-blind review process. Thus, submissions may not reveal its authors’ identities. The authors must make an acceptable effort to honor the double-blind review process. In particular, the authors’ names must be omitted from the submission and references to their prior work should be in the third person.

All submissions will be peer-reviewed by at least three experts from the international program committee of each track and will receive an additional meta-review. Any papers that are outside the scope of the symposium, exceed the maximum number of pages for the respective category, or do not follow the formatting guidelines will be desk rejected without review.

Finally, please note that each accepted contribution must have a minimum of one author registered by the deadline for the camera-ready submission for their respective paper type. Also, each paper must be presented by one of the authors. Failure to meet these criteria will result in the paper’s removal from the proceedings.

Open Science Policy

Openness in science is key to fostering progress via transparency, reproducibility and replicability. While all submissions will undergo the same review process independent of whether or not they disclose their analysis code or data, we strongly encourage authors to make data available upon submission (either privately or publicly) and especially upon acceptance (publicly). If the authors cannot disclose industrial or otherwise non-public data, they should provide an explicit (short) statement in the paper.

Program Co-Chairs

Tayana Conte, Universidade Federal do Amazonas, Brazil
Tomi Männistö, University of Helsinki, Finland

Technical Papers Track PC

Silvia Abrahao, Universitat Politècnica de València
Iftekhar Ahmed, University of California
Muhammad Ali Babar, The University of Adelaide
Paris Avgeriou, University of Groningen
Monalessa Barcellos, UFES
Ayse Bener, Ryerson University
Stefan Biffl, Vienna University of Technology
Amiangshu Bosu, Wayne State University
Fabio Calefato, University of Bari
Bruno Cartaxo, IFPE
Jeffrey Carver, University of Alabama
Nelly Condori-Fernández, Universidade da Coruña
Maya Daneva, University of Twente
Edna Dias Canedo, Universidade de Brasília
Oscar Dieste, Universidad Politécnica de Madrid
Hakan Erdogmus, CMU
Fabian Fagerholm, Aalto University
Davide Falessi, University of Rome Tor Vergata
Michael Felderer, University of Innsbruck
Maria-Angela Ferrario, Queen’s University Belfast
Matthias Galster, University of Canterbury
Marcela Genero, University of Castilla-La Mancha
Carmine Gravino, University of Salerno
Daniel Graziotin, University of Stuttgart
Des Greer, Queen’s University Belfast
Isaac Griffith, CodeSignal
Clemente Izuireta, Montana State University
Jing Jiang, Beihang University
Marcos Kalinowski, Pontifical Catholic University of Rio de Janeiro
Marco Kuhrmann, Reutlingen University
Katsiaryna Labunets, Utrecht University
Valentina Lenarduzzi, University of Oulu
Fernanda Madeiral, KTH Royal Institute of Technology
Mika Mäntylä, University of Oulu
Beatriz Marín, Universitat Politècnica de València
Silverio Martínez-Fernández, Universitat Politècnica de Catalunya - BarcelonaTech
Daniel Mendez, Blekinge Institute of Technology & fortiss
Tim Menzies, NC State University
Sandro Morasca, Università degli Studi dell’Insubria
Ana Moreno, University Madrid
Maurizio Morisio, Politecnico di Torino
Maleknaz Nayebi, York University
Phuong T. Nguyen, University of L’Aquila
Masao Ohira, Wakayama University
Markku Oivo, University of Oulu
Maria Paasivaara, IT University of Copenhagen & Aalto University
Oscar Pastor, Universidad Politécnica de Valencia
Cecile Peraire, Carnegie Mellon University Silicon Valley
Dietmar Pfahl, University of Tartu
Rafael Prikladnicki, PUCRS
Fabio Q. B. Da Silva, Federal University of Pernambuco
Mikko Raatikainen, University of Helsinki
Pilar Rodriguez, Universidad Politécnica de Madrid
Simone Romano, University of Salerno
Katia Romero Felizardo, UTFPR-CP
Marc Roper, University of Strathclyde
Guenther Ruhe, University of Calgary
Barbara Russo, Free University of Bolzano/Bozen
Daniela S. Cruzes, NTNU
Gleison Santos, UNIRIO
Igor Scaliante Wiese, Federal University of Technology – Paraná
Giuseppe Scanniello, University of Basilicata
Carolyn Seaman, UMBC
Alexander Serebrenik, Eindhoven University of Technology
Darja Smite, Blekinge Institute of Technology
Martin Solari, Universidad ORT Uruguay
Simone R. S. Souza, ICMC/USP
Rodrigo Spinola, Unifacs
Igor Steinmacher, Universidade Tecnológica Federal do Paraná
Viktoria Stray, University of Oslo
Davide Taibi, Tampere University of Technology
Marco Torchiano, Politecnico di Torino
Guilherme Travassos, COPPE/UFRJ
Burak Turhan, University of Oulu
Eray Tüzün, Bilkent University
Diego Vallespir, Universidad de la República
Sira Vegas, Universidad Politécnica de Madrid
Stefan Wagner, University of Stuttgart
Qing Wang, ISCAS
Dietmar Winkler, Vienna University of Technology
Hongyu Zhang, The University of Newcastle
Minghui Zhou, Peking University