Call for Papers
This is a time of great growth at the intersection of software engineering and scientific research software. There is a need to bring together members of these communities to identify common goals and lay out research agenda to move both communities in a positive direction. The goal of this workshop is to provide a unique venue where software engineers and scientists can meet to discuss these issues. To address this goal, we seek contributions from members of both communities the describe perspectives, research outcomes, and lessons learned from the development of scientific research software. Specifically, we are interested in:
- Scientific software applications that solve complex software- or data-intensive research problems. These applications range from large parallel models/simulations of the physical world using HPC systems to smaller scale simulations developed by a single scientist or engineer on a desktop machine or a small cluster.
- Applications that support scientific research and experiments at scale. Such applications include, but are not limited to, systems for managing and/or manipulating large amounts of data and systems that provide infrastructure for scientific or engineering applications such as libraries or HPC/Cloud software.
- The process for building, reusing, and publishing software and data used in scientific experiments or engineering innovations. Among others, these process include agile approaches, open source/open data issues, testing scientific software, and managing software or data repositories for publishing goals.
Submission InstructionsWe encourage submissions from members of the SE and scientific software communities addressing issues including but not limited to:
- Case studies of software development processes used in scientific applications;
- Design patterns and software architectures for scientific software;
- Software engineering metrics and tool support for scientific applications;
- Issues in publishing or reusing scientific research software and data;
- The use of empirical studies to better understand the environment, tools, languages, and processes used in research application development and how they might be improved;
- V&V techniques specifically targeted for the scientific domain;
- SE education for scientific developers.
Accepted papers will appear in the ICSE Companion Proceedings in the IEEExplore Digial Library. Selected papers will also be invited to submit to the Software Engineering track of Computing in Science & Engineering.
Please observe the following:
- Full Papers should be at most 8 pages formatted according to the ICSE 2017 guidelines
- Submit your paper in PDF: EasyChair
- Submission – January 27, 2017;
- Notification – February 17, 2017
Last Updated on January 19, 2017 by Jeffrey Carver