Reading and understanding code is essential to implement new features in an existing system, refactor, debug, write tests, and perform code reviews. Developers spend large amounts of time reading code and making the code easier to read and understand is an important goal with potential practical impact. In this context, automatically measuring and improving legibility, readability, and understandability is of primary importance to help developers addressing program comprehension issues. The Workshop on Automated Support to Improve code Readability (AeSIR) aims at providing a forum for researchers and practitioners to discuss both new approaches and emerging results related to such aspects.

The topics of interest include, but are not limited to:

• Novel tools and approaches for automatically measuring and improving code legibility, readability, and understandability;
• New techniques for automatically measuring and improving legibility, readability, and understandability in manually written and automatically generated test cases;
• Empirical studies on common practices used to handle code legibility, readability, and understandability evolution;
• Case studies of real-world applications;
• Replication studies on state-of-the-art tools and techniques for measuring and improving code legibility, readability, and understandability.

Submission
AeSIR solicits both full papers, describing original and unpublished results (up to 5 pages) and short papers, discussing new ideas, insights and preliminary results (up to 2 pages).
All submissions must be in PDF format and conform, at time of submission, to the ACM Proceedings Template at https://www.acm.org/publications/proceedings-template (LaTEX users must use \documentclass[sigconf,review,anonymous]{acmart}). The review option adds line numbers, thereby allowing referees to refer to specific lines in their comments. All submitted papers will be reviewed on the basis of technical quality, relevance, significance, and clarity by at least three program committee members. All workshop papers should be submitted electronically in PDF format through the HotCRP workshop website (https://aesir2022.hotcrp.com/). All accepted papers will be published by IEEE CPS and included in the IEEE Xplore library. After the workshop, the best papers will be invited to submit an extended version of the paper in a special issue on Code Readability on the Empirical Software Engineering journal (EMSE).

For the double-blind review process, submissions must not reveal the authors' identities. In particular, the authors' names and affiliations must be omitted in the title page and headers of the paper, and references to their prior work should be in the third person. If you want to make available any artifact in time for submission, please make it anonymous. There are existing tools for doing that easily, for instance, Anonymous GitHub, which is an open source tool that helps you to quickly double-blind GitHub repositories. AeSIR encourages authors to make artifacts publicly available, and if the authors want to do so but do not want to take the risk to break the double-blind review process, they are invited to add the artifacts' links in the camera-ready versions in case of paper acceptance.

Contact & Information
For any questions please don't hesitate to contact us via: aesir.workshop@gmail.com.

Important Dates

• Abstract submission: July 19, 2022 AoE
• Paper submission: July 26, 2022 AoE
• Author notification: August 24, 2022 AoE
• Camera Ready: August 31, 2022 AoE