The goal of the CoSEDS 2022 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 2022 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 for references.
• 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.
Note:
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.
Submission site: https://easychair.org/conferences/?conf=coseds2022
TOPICS OF INTEREST
CoSEDS 2022 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:
SOFTWARE ENGINEERING
| Agile software development |
Middleware, frameworks, and APIs |
Security, privacy and trust |
| Autonomic and self-adaptive systems |
Mining software engineering repositories |
Software architecture |
| Cloud computing |
Mobile applications |
Software economics and metrics |
| Component-based software engineering |
Model-driven engineering |
Software evolution and maintenance |
| Configuration management and deployment |
Parallel, distributed, and concurrent systems |
Software modeling and design |
Cooperative, distributed, and collaborative
software engineering |
Performance |
Software process |
| Cyber physical systems |
Probabilistic systems |
Software product lines |
| Debugging, fault localization, and repair |
Program analysis |
Software reuse |
| Dependability, safety, and reliability |
Program comprehension |
Software services |
| Embedded software |
Program synthesis |
Software testing |
| Empirical software engineering |
Programming languages |
Software visualization |
| End-user software engineering |
Recommendation systems |
Specification and modeling languages |
| Formal methods |
Refactoring |
Tools and environments |
| Green and sustainable technologies |
Requirements engineering |
Traceability |
| Human factors and social aspects of software engineering |
Reverse engineering |
Ubiquitous/pervasive software systems |
| Human-computer interaction |
Search-based software engineering |
Validation and verification |
DATA SCIENCES:
| Algorithms For Large Data Sets |
Data, Text, Web Mining,
and Visualization |
|
| Big Data |
Databases and Data Security |
|
| Business Intelligence |
Deep learning and deep analytics. |
|
| Cluster, Cloud, And Grid Computing |
Distributed computing and parallel processing |
|
| Complexity Science |
Feature selection, transformation and construction. |
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| Data Analytics |
High performance computing for data analytics |
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| Data Architecture |
Infrastructure and storage |
|
| Data Centric Programming |
Large scale optimization. |
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| Data Management |
Latent semantics and insight learning |
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| Data Mining And Knowledge Discovery |
Machine learning |
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| Data Science And Social Science. |
Machine learning theories, models and systems. |
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| Data Warehouses And Large-Scale Databases. |
Management, storage, retrieval and search |
| Mathematical, probabilistic and statistical models |
Web/online/social/network mining and learning |
| Network science |
Relation, coupling, link and graph mining. |
| Security, privacy and ethics |
Security, trust and risk in big data. |
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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. |
PLAGIARISM ALERT
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.
