初稿截稿日期：2019-04-01

Abstract Submission

Friday, March 29, 2019

Paper Submission

Friday, April 5, 2019
Submissions close at 23:59 AoE (Anywhere on Earth, UTC-12)

Author Notification

Monday, June 10, 2019

Camera Ready Submission

TBD

Similar to ICSME 2018, we are following a double-blind reviewing process. Submitted papers must adhere to the following rules:

• Author names and affiliations must be omitted. (The track co-chairs will check compliance before reviewing begins.)
• References to authors' own related work must be in the third person. (For example, not "We build on our previous work..." but rather "We build on the work of...")

Papers must not exceed 10 pages (including figures and appendices) plus up to 2 pages that contain ONLY references. All submissions must be in PDF and must be submitted online by the deadline via the ICSME 2019 EasyChair conference management system. Any relevant supplemental material should also be anonymized and submitted by the same deadline through EasyChair.

Authors of selected papers from the research track will be invited to submit extended versions of their work to a special issue of theSpringer international journal of Empirical Software Engineering (EMSE). Authors of selected papers will be expected to comply with the standard guidelines when publishing an extended version of a paper, including the addition of about 30% new material.

IEEE International Conference on Software Maintenance and Evolution (ICSME) is the premier forum for researchers and practitioners to present and discuss the most recent innovations, trends, experiences, and challenges in software maintenance and evolution. We invite high quality submissions describing significant, original, and unpublished results related to but not limited to any of the following software maintenance and evolution topics (in alphabetical order):

ICSME welcomes innovative ideas that are timely, well presented and evaluated. All submissions must position themselves within the existing literature, describe the relevance of the results to specific software engineering goals, and include a clear motivation and presentation of the work. To establish a consistent set of expectations in the review process, the authors are asked, as part of the online submission process, to identify their papers with one or more of the following categories:

Technological

A paper in which the main contribution is of a technical nature. This includes novel tools, new algorithms, new theories, modeling languages, infrastructures, processes, methods and other technologies. Such a contribution does not necessarily need to be evaluated with humans. However, clear arguments, backed up by evidence as appropriate (whether through a proof, complexity analysis, or run-time analysis, among others), must show how and why the technology is beneficial, why a new method is needed, whether it is in automating or supporting some user task, refining our modeling capabilities, improving some key system property, etc.

Empirical

A paper in which the main contribution is the empirical study of a software evolution technology or phenomenon. This includes controlled experiments, case studies, and surveys of professionals reporting qualitative or quantitative data and analysis results. The authors should provide convincing arguments, with commensurate experiences, why certain methods or models are needed. Such a contribution will be judged on its study design, appropriateness and correctness of its analysis, and threats to validity. Replications are welcome.

Perspectives

A paper in which the main contribution is a novel perspective on the field as a whole, or part thereof. This includes assessments of the current state of the art and achievements, systematic literature reviews, framing of an important problem, forward-looking thought pieces, connections to other disciplines, and historical perspectives. Such a contribution must, in a highly convincing manner, clearly articulate the vision, novelty, and potential impact.

All papers should be full papers, and papers may belong to more than one category.