We invite submissions along the following categories:

    Technical design papers (15 pages incl. references) describe the design of new artifacts, i.e., novel solutions for problems relevant to practice and/or significant and theoretically sound improvements of existing solutions. A preliminary validation of the artifacts is also expected.

    Scientific evaluation papers (15 pages incl. references) investigate existing real-world problems, evaluate existing artifacts implemented in real-world settings, or validate newly designed artifacts, e.g., by means such as case studies, action research, quasi-controlled experiments, simulations, surveys, or secondary studies if they clearly synthesize the state of reported evidence in literature (via systematic literature reviews or mapping studies). Please refer also to the ACM Sigsoft Empirical Standards for Software Engineering for guidelines and review criteria for each research method: https://github.com/acmsigsoft/EmpiricalStandards

    Experience report papers (12 pages incl. references) describe retrospective reports on experiences in applying RE techniques in practice, or addressing RE problems in real-world contexts. These papers focus on reporting the experience and give special attention to practical insights, lessons learned, and/or key takeaways and recommendations to the community. Experience reports may also include studies in which the authors interview practitioners about the application of specific RE techniques or about RE problems in practice.

    Vision papers (8 pages incl. references) state where research in the field should be heading.

    Research previews (8 pages incl. references) describe well-defined research ideas at an early stage of investigation which may not be fully developed.

Each type of paper has its own review criteria, based on the description above.

Finally, we cordially invite authors to disclose their research artifacts following our open science guidelines. Authors who wish to disclose their artifacts can find further guidance and support under the Open Science Initiative.