Empirical Studies for Quantum Software EngineeringE-QSE 2024
Quantum Programming has been increasingly recognized in recent years, with a growing consensus among researchers and practitioners that this emerging technology has the potential to significantly reshape the landscape of computation. The workshop’s objective is to foster a community where both researchers and practitioners can engage in discussions about novel ideas and share fresh insights on Empirical Studies in Quantum Software Engineering, with the ultimate goal of addressing previously unsolved problems.
Call for Papers
The aim of E-QSE is to provide a forum for researchers and practitioners to present and discuss empirical studies for quantum software engineering. The workshop’s objectives are the following:
- providing researchers with a comprehensive understanding of the current state of quantum software engineering;
- defining key terms, challenges, and opportunities in the field;
- analyzing case studies to understand the practical implications of implementing quantum components in software applications;
- encouraging participants to share their experiences and insights regarding challenges faced in quantum software engineering;
- discussing the strengths and limitations of different quantum programming technologies;
- discussing the synergies and challenges of combining classical software engineering practices with quantum approaches;
- developing a roadmap for future research directions in quantum software engineering.
Topics of interest include, but are not limited to, the following:
- Studies on the effectiveness of different development methodologies for quantum software;
- Definition and evaluation of software metrics for quantum programs;
- Empirical studies on testing methodologies for quantum software;
- Studies on integrating quantum components into classical software applications;
- Assessment of tools supporting quantum software development, including simulators, optimizers, and debuggers;
- User studies to understand the experience of software engineers working with quantum programming languages and tools;
- Case studies of quantum software engineering projects in industry settings;
- Investigation into the cognitive aspects of designing and developing quantum software;
- Lessons learned and challenges faced during the development and deployment of quantum software applications.
In line with the main conference call for papers, E-QSE welcomes papers employing any of the suggested empirical methods in SE (https://conf.researchr.org/track/ease-2024/ease-2024-papers). Moreover, the workshop welcomes studies with negative findings or non-significant results.
All submissions should use the official ACM Primary Article Template (https://www.acm.org/publications/proceedings-template). Deviating from the ACM formatting instructions may lead to a desk rejection.
E-QSE considers two different types of submissions:
- Regular papers (up to 10 pages) reporting original empirical research on quantum software engineering;
- Short papers (up to 5 pages) discussing visions, novel ideas, and experience reports on quantum software engineering.
Authors must comply with the SIGSOFT Open Science Policy, https://github.com/acmsigsoft/open-science-policies/blob/master/sigsoft-open-science-policies.md (i.e., to archive data and artifacts in a permanent repository—e.g., Zenodo, not GitHub—to the extent ethically and practically possible, and include links in a Data Availability section in their manuscripts).
E-QSE 2024 employs a double-anonymous review process. Do not include author names or affiliations in submissions. All references to the author’s prior work should be in the third person. Any online supplements, replication packages, etc., referred to in the work should also be anonymized.
By submitting to E-QSE, authors agree to the ACM Policy and Procedures on Plagiarism, Misrepresentation, and Falsification https://www.acm.org/publications/policies/plagiarism-overview. Papers submitted to EASE must not be published or under review elsewhere. The Program Chairs may use plagiarism detection software under contract to the ACM. If the research involves human participants/subjects, the authors must adhere to the ACM Publications Policy on Research Involving Human Participants and Subjects https://www.acm.org/publications/policies/research-involving-human-participants-and-subjects.