Call for Papers: EmSE Special Issue for PROMISE 2025
Lili Wei
Dear everyone,
If you are planning to submit any related papers recently, please consider to submit to the EMSE Special Issue on “Predictive Models and Data Analytics in Software Engineering.” (PROMISE 2025)
Name in the system: PROMISE 2025
Deadline: Feb 28, 2026
Type: Open call
Link: https://link.springer.com/collections/efcdhaaaab
The detailed Call for Papers is as follows. We look forward to your submissions!
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A special issue of the Empirical Software Engineering Journal. https://link.springer.com/journal/10664
Description of the Special Issue
This special issue in the Empirical Software Engineering journal is intended to provide practitioners and researchers with a venue to present insights, innovations, and solutions in construction and/or application of predictive models and data analytics in software engineering. Submitted papers must have a strong empirical basis/component to be eligible for this special issue. Empirical Software Engineering (https://link.springer.com/journal/10664) provides a forum for applied software engineering research with a strong empirical component and a venue for publishing empirical results relevant to both researchers and practitioners.
All submissions will be reviewed using the Empirical Software Engineering Journal standards and will undergo a rigorous reviewing process. Submitted papers should present original, unpublished work, relevant to one of the topics of the Special Issue. All submitted papers will be evaluated on the basis of relevance, significance of contribution, technical quality, scholarship, and quality of presentation, by at least two independent reviewers. It is the policy of the journal that no submission, or substantially overlapping submission, be published or be under review at another journal or conference at any time during the review process.
Submission Topics
Application-oriented papers: prediction of cost, effort, quality, defects, business value; quantification and prediction of other intermediate or final properties of interest in software development regarding people, process or product aspects; using predictive models and data analytics in different settings, e.g. lean/agile, waterfall, distributed, and community-based software development; dealing with changing environments in software engineering tasks; dealing with multiple-objectives in software engineering tasks; using predictive models and software data analytics in policy and decision-making.
Ethically-aligned papers: can we apply and adjust our AI-for-SE tools (including predictive models) to handle ethical non-functional requirements such as inclusiveness, transparency, oversight and accountability, privacy, security, reliability, safety, diversity and fairness?
Theory-oriented papers: model construction, evaluation, sharing and reusability; interdisciplinary and novel approaches to predictive modelling and data analytics that contribute to the theoretical body of knowledge in software engineering; verifying/refuting/challenging previous theory and results; combinations of predictive models and search-based software engineering; the effectiveness of human experts vs. automated models in predictions.
Data-oriented papers: data quality, sharing, and privacy; curated data sets made available for the community to use; ethical issues related to data collection and sharing; metrics; tools and frameworks to support researchers and practitioners to collect data and construct models to share/repeat experiments and results.
Validity-oriented papers: replication and repeatability of previous work using predictive modelling and data analytics in software engineering; assessment of measurement metrics for reporting the performance of predictive models; evaluation of predictive models with industrial collaborators.
Schedule
Submission Deadline: February 28th, 2026
Submission Instructions
Papers should be submitted through the Empirical Software Engineering editorial manager website (https://www.editorialmanager.com/emse/default.aspx) as follows (1) select “Research Papers” and (2) later on the Additional Information page: Answer “Yes” to “Does this paper belong to a special issue?” and select “PROMISE 2025” for “Please select the issue your manuscript belongs to”. For formatting guidelines as well as submission instructions, visit https://link.springer.com/journal/10664?detailsPage=pltci_2530593.
Editors of the Special Issue
Yiming Tang, Rochester Institute of Technology - yxt...@rit.edu
Lili Wei, McGill University - lili...@mcgill.ca
Best regards,
Yiming Tang and Lili Wei