posted by organizer: imlizheng || 1260 views || tracked by 2 users: [display]

SoftBDA 2017 : 2017 International Workshop on Software-driven Big Data Analytics

FacebookTwitterLinkedInGoogle

Link: https://softbda.wordpress.com/
 
When Dec 4, 2017 - Dec 4, 2017
Where Nanjing, China
Submission Deadline Sep 15, 2017
Notification Due Oct 6, 2017
Final Version Due Oct 13, 2017
Categories    software engineering   big data analytics
 

Call For Papers

The association and interaction between software engineering (SE) and big data analytics (BDA) have gained attentions and popularity among a large number of researchers in multiple disciplines, which particularly encourages and influences the leading-edge research in SE. For example, it has been identified that dealing with the various Vs (such as volume, variety, velocity, veracity, etc.) of big data demands both novel functional features (e.g., new analytics algorithms and tools) and non-functional improvements (e.g., continuous delivery and quality assurance) of software systems in the BDA domain.

Accordingly, this workshop intends to bring together researchers, practitioners and educators from multiple disciplines to discuss the rigor, relevance, experience, challenges and opportunities of SE-driven BDA, as well as investigating the interaction between the both. To help conclude the status of empirical and theoretical research in this area, and to help further develop a common research agenda for increasing the quality of current work and fostering future collaborations, the workshop’s topics of interest include, but are not limited to:

- Theoretical foundations of SE in the BDA research.
- Software architectures and design patterns for constructing BDA applications.
- Quality assurance of BDA software systems.
- Empirical primary and secondary studies in SE for/in BDA.
- Evidential assessments on the rigor, effectiveness, and relevance of a variety of software technologies in the BDA domain.
- Experiences in applying theoretical and empirical knowledge of SE to BDA practice.
- Challenges and lessons learned from adopting SE techniques and methods in the BDA research and practice.
- Areas where future SE for/in BDA studies are needed.
- Research agenda for maturing and enriching SE for/in BDA practices.

The workshop will accept both research and industrial papers, depending on the quality of the submissions. The length will be between 6 and 8 pages for full technical paper, experience report or literature survey paper. Industry presentations will also be accepted with an abstract or summary of 2 pages. The selection process is based on each submitted paper reviewed by no less than two members of the Program Committee.

A selective set of accepted papers will be invited to submit an extended version for publication in the special issue of the Springer Computing Journal (http://www.springer.com/computer/journal/607). The extension will need to have more than 30% new content.

Related Resources

KomIS@ACM-SAC 2019   ACM SAC 2019 - KomIS track: Application of AI and Big Data Analytics
ACM--ICCAI--Ei Compendex, Scopus 2019   ACM--2019 5th International Conference on Computing and Artificial Intelligence (ICCAI 2019)--Ei Compendex, Scopus
IoTBDA CRC press Call for book chapters 2019   The Internet of Things and Big Data Analytics : Integrated Platforms and Industry Use Cases
CSECI 2019-Ei Compendex & Scopus 2019   2019 International Conference on Software Engineering and Computational Intelligence (CSECI 2019)
ICBDACI 2019   2nd International Conference on Big Data Analytics And Computational Intelligence
EI-CSECI 2019   2019 International Conference on Software Engineering and Computational Intelligence (CSECI 2019)
ICSESS 2019   2019 10th IEEE International Conference on Software Engineering and Service Science
SmartComp 2019   5th IEEE International Conference on Smart Computing
IEEE BigData 2019   IEEE International Conference on Big Data
ICCBDC--Ei Compendex and Scopus 2019   2019 3rd International Conference on Cloud and Big Data Computing (ICCBDC 2019)--Ei Compendex and Scopus