The goal of the CoSEDS 2018 is to provide a platform for all stakeholders in these fields from both academia and industry to present their work and explore the latest developments in the area of Software Engineering, the interdisciplinary field of Data Sciences and other allied fields.
CoSEDS 2018 seeks contributions of different types, including theoretical foundations, practical techniques, new ideas, empirical studies, experience, and lessons learned. Submissions will be evaluated based on their scientific merit, importance, novelty, presentation, quality and relevance to Software Engineering and Data Sciences. We invite submissions under three categories: Regular papers, Short papers and Work in Progress/ Position Papers.
• Regular papers
should not exceed 11 pages, 10 pages for the main text (including figures, appendix etc.) and 1 page
• Short papers
should not exceed 6 pages, including references.
• Work in Progress or Position papers
should not exceed 2 pages, including references.
Regular papers are expected to contain in-depth descriptions of the work along with detailed evaluation and/or representing a self-contained theoretical contribution.
Short papers may contain preliminary results, brief accounts of original ideas, and other relevant work of potentially high scientific interest; for example, new interesting ideas, which may not be evaluated extensively, tool descriptions or case studies.
Work in progress or Position papers are expected to describe ideas and proposals that the author(s) would like to present at the conference.
1. Regular papers will be assigned a long time slot for presentation than short and WIP/position papers.
2. The papers will be accepted or rejected in the category in which they were submitted; there will be no "demotions" from a Regular to a Short paper or WIP/ Position Paper.
All submissions will be reviewed by at-least three members of Program Committee on the basis of technical quality, relevance to conference topics of interest, originality, significance, and clarity.
All accepted papers will be published in CEUR WS indexed by DBLP, Scopus, Google Scholar and others. Selected papers from the conference will be invited to extend their paper so as to be considered for possible publication in Data Science and Engineering (ISSN: 2364-1541) and International Journal of Information Technology (ISSN: 2511-2112) published by Springer. Authors can opt-out if desired.
At least one author of each accepted paper must register for the conference.
Submission site https://easychair.org/conferences/?conf=coseds2018
TOPICS OF INTEREST
CoSEDS 2018 seeks contributions of different types, including theoretical foundations, practical techniques, new ideas, empirical studies, experience, and lessons learned in the areas of Software Engineering, interdisciplinary field of Data Sciences and intersection of Software engineering and Data Sciences.
We welcome submissions addressing potential and relevant topics across the full spectrum of software engineering and Data Sciences, including, but not limited to:
|Agile software development
||Middleware, frameworks, and APIs
||Security, privacy and trust
|Autonomic and self-adaptive systems
||Mining software engineering repositories
||Software economics and metrics
|Component-based software engineering
||Software evolution and maintenance
|Configuration management and deployment
||Parallel, distributed, and concurrent systems
||Software modeling and design
|Cooperative, distributed, and collaborative
|Cyber physical systems
||Software product lines
|Debugging, fault localization, and repair
|Dependability, safety, and reliability
|Empirical software engineering
|End-user software engineering
||Specification and modeling languages
||Tools and environments
|Green and sustainable technologies
|Human factors and social aspects of software engineering
||Ubiquitous/pervasive software systems
||Search-based software engineering
||Validation and verification
|Algorithms For Large Data Sets
||Data, Text, Web Mining,
|Mathematical, probabilistic and statistical models and theories.
||Databases and Data Security
and statistical models and theories.
||Deep learning and deep analytics.
|Cluster, Cloud, And Grid Computing
||Distributed computing and parallel processing
||Relation, coupling, link and graph mining.
||Feature selection, transformation and construction.
||Security, privacy and ethics
||High performance computing for data analytics
||Security, trust and risk in big data.
||Infrastructure and storage
|Data Centric Programming
||Large scale optimization.
||Web/online/social/network mining and learning.
||Latent semantics and insight learning
|Data Mining And Knowledge Discovery
|Data Science And Social Science.
||Machine learning theories, models and systems.
|Data Warehouses And Large-Scale Databases.
||Management, storage, retrieval and search
|SOFTWARE ENGINEERING AND DATA SCIENCES
|Software Engineering for Data Science: Software Engineering challenges imposed by Data Science.
|Data Science for Software Engineering: Opportunities that Data Science offers to
software engineering, both in research and practice.
|Data Science for improved Quality Assurance.
|Engineering Better Quality Data Intensive Systems.
|ANY OTHER SIMILAR THINGS THAT WE HAVE MISSED OR NOT LISTED HERE.
A number of rejections are done due to plagiarism in papers submitted to journals and Conferences. This is against professional ethics and we have no options, but to desk reject the paper. Hence authors are requested to take extreme care in avoiding any forms of plagiarism. If a paper is found to be plagiarized at any point of time, the organizers have right to withdraw the papers and disqualify the authors without any further notice.