CiSE Track Calls for Papers
Track articles are published throughout the year.

CiSE accepts submissions on an ongoing basis for the following three tracks:

  • Reproducible Research
  • Data*
  • Software Engineering

Please see the individual Calls for Papers below for details.

Reproducible Research – Call for Papers

Submission and publication: Ongoing

Track editors: Lorena A. Barba (George Washington University) and George K. Thiruvathukal (Loyola University Chicago)

Since the year 2000, CiSE has published several influential pieces that have become part of the scholarly conversation about reproducible research. Now, we are making this topic a permanent fixture in our magazine with this new track. Reproducible research is defined as research in which authors provide all the necessary data and the computer codes to run the analysis again, re-creating the results. Replication, on the other hand, is defined as arriving at the same scientific findings as another study, collecting new data (possibly with different methods), and completing new analyses.

The Reproducible Research track seeks contributions of three types: (1) long-form articles reporting on original research that followed rigorous reproducibility practices, which will be peer-reviewed using the normal process for general CiSE submissions; (2) short case studies reporting experiences in reproducing or replicating past computational work (successes or failures)—we especially invite researchers in industry or national labs to contribute case studies—and; (3) briefs on libraries, tools, and techniques.

Peer-reviewed articles in the RR track must adhere to special requirements. First, openness: any underlying code used to produce the results in the paper will need to be open source (under an OSI-approved license), all data will also be openly available, and the manuscript itself will be deposited in a preprint server before submission. Second, reproducible computations: any computational results will need to be reproducible by executing the author-provided workflow (in the form of input data, analysis code, plotting scripts, and so on). Authors will prepare a reproducibility package consisting of a file set that includes all the parts needed to reproduce each figure or result. Finally, articles will include an appendix reporting on the software engineering and data management practices followed by the authors and their collaborators.

Published by the IEEE Computer Society, CiSE features the latest computational science and engineering research in an accessible format, along with departments covering news and analysis, CSE in education, and emerging technologies.

We strongly encourage submissions that include multimedia, data, and community content, which will be featured on the IEEE Computer Society website along with the accepted papers. If your submission includes such materials, please let us know by email.

Submission Guidelines

We encourage authors to email a 250-word abstract to the track editors prior to submission to inquire whether the submission fits within the scope of this special track.

When writing your article, please refer to the CiSE-specific author guidelines and the general author guidelines. Authors are asked to submit high-quality original work that has neither appeared in nor is under consideration by other journals.  All submissions will be peer-reviewed following standard journal practices. Manuscripts based on previously published conference papers must be extended substantially to include at least 30 percent new material.

Please submit electronically through ScholarOne Manuscripts, selecting this track option and including complete contact information for all authors. If you have any questions about submitting your article in ScholarOne Manuscripts, contact the peer-review coordinator at cise@computer.org.

Questions?

Contact the track editors at cise-rr@computer.org.

Data* Track – Call for Papers

Submission and publication: Ongoing

Track editors: Manish Parashar (Rutgers University) and George K. Thiruvathukal (Loyola University Chicago)

The data-centric era is characterized by a wide range of diverse data sources, from extreme scale simulations to instruments, experiments, and pervasive sensor systems. Increasing data quantity and availability has the potential to revolutionize science, engineering, and society in general. However, it will also create challenges—such as data heterogeneity, quality uncertainty, and transporting and processing costs—that will require new paradigms and practices in data management and analytics and supporting software stacks before that potential can be realized.

This peer-reviewed track covers all things data—from data science and analytics to extreme data. The goal is to explore fundamental challenges and state-of-the-art solutions, such as innovative algorithms, implementation frameworks, and software stacks that can accelerate insights from extreme data. We are particularly interested in submissions that address real deployments and experiences in production environments with an emphasis on reproducible results, as well as end-to-end application workflows and relevant experiences with real scientific and engineering domain applications.

We strongly encourage submissions that include multimedia, data, and community content, which will be featured online. If your submission includes such materials, please let the track editors know at cise-data@computer.org.

Submission Guidelines

Before submitting, we encourage authors to send a 250-word abstract at cise-data@computer.org so that the track editors can evaluate whether your idea fits within the scope of this special track.

When writing your article, please refer to the CiSE-specific author guidelines and the general author guidelines. Authors are asked to submit high-quality original work that has neither appeared in nor is under consideration by other journals.  All submissions will be peer-reviewed following standard journal practices. Manuscripts based on previously published conference papers must be extended substantially to include at least 30 percent new material.

Please submit electronically through ScholarOne Manuscripts, selecting this track option and including complete contact information for all authors. If you have any questions about submitting your article in ScholarOne Manuscripts, contact the peer-review coordinator at cise@computer.org.

Questions?

Contact the track editors at cise-data@computer.org.

Software Engineering Track – Call for Papers

Submission and publication: Ongoing

Track editors: Jeff Carver (University of Alabama) and Damian Rouson (Sourcery Institute)

As the importance and prevalence of scientific software grows, there’s a corresponding need for appropriate software engineering practices to help ensure long-term sustainability. A growing body of literature demonstrates the interest of scientific developers in advancing the software engineering practices of scientific disciplines. Recognizing that the development of scientific software differs significantly from the development of other software, the goal of this track is to provide a venue for the publication of work at the intersection of science and software engineering. Scientific software includes software that falls into these categories:

  • Applications where the focus is on solving scientific or engineering problems. These applications range from large, parallel models and simulations of the physical world—typically utilizing high-performance computing systems—to smaller-scale simulations developed by a single scientist or engineer on a single desktop or laptop computer.
  • Libraries where the goal is to provide software to support other scientific software.
  • Frameworks that guide scientific application development, such as systems for building, analyzing, tuning, testing, and documenting scientific software, and systems for managing or manipulating large amounts of data produced by or for the scientific software domain.

We encourage submissions from both the software engineering and science communities. Topics of interest include the following:

  • Experiences in adapting programming paradigms to the requirements of scientific applications
  • Descriptions of major design and development decisions and the associated trade-offs that shaped newly released or refactored software relevant to scientific applications
  • Case studies of development methodologies used in scientific software
  • Measures of software development productivity appropriate to scientific software
  • Lessons learned from the development of scientific software
  • Software engineering metrics and tool support for scientific software
  • The use of empirical studies to better understand the environment, tools, languages, and processes used in the development of scientific software and how they might be improved
  • Verification and validation techniques specifically targeted at scientific software

Note that this track is fully peer-reviewed. Papers are expected to make a significant contribution to the literature. Claims should be supported by appropriately rigorous validation. For work in earlier stages or with lighter validation, authors may want to consider the Software Engineering for Science workshops series (http://se4science.org/workshops).

Submission Guidelines

When writing your article, please refer to the CiSE-specific author guidelines and the general author guidelines. Articles for this track should not exceed 6,000 words, including all main body, bibliography, biography, and table text. Each table and figure counts for 250 words. Please submit electronically through ScholarOne Manuscripts, selecting this track option.

Questions?

Contact the track editors at cise-software@computer.org.

CISE Tracks Calls for Papers
Ongoing