Journal Special Issue Proposal on Quality Assurance and Management for Big Data

With the increase of big data applications in diverse application fields, big data computing and application service is becoming a very hot topic among academic researchers, industry practitioners, and government agencies. As more big data and application systems are gradually used in different application domains (such as business, healthcare, transportation, environment monitor and assessment, and smart city development), big data quality and quality assurance of big data application service systems become very important and critical. Based on recent reports, it has been estimated that erroneous data costs US businesses 600 billion dollars annually. This workshop will focus on the subject of quality assurance issues and challenges for big data and application service systems. There are emergent needs for research problems and directions on this subject in terms of quality control models, automation validation methods, approaches, and service platforms as well as TaaS (Testing-as-a-service) and other novel test automation techniques. We invite original papers from both academia and industry

Topics of Interest
WORKSHOP IMPORTANT DATES
Paper submission due date March 31, 2017
Notification of acceptance: June 30, 2017
Revised version due date August 31, 2017
Camera-ready copy due date October 1st, 2017
Expected publication in Big Data Research special issue December 1st, 2017
Workshop date April 6, 2017

Topics of interest include (but not limited to):

Introduction
With the increase of big data in diverse application fields, big data computing and application service is becoming a very hot topic among academic researchers, industry practitioners, and government agencies. As more big data and application systems are gradually used in different application domains (such as business, healthcare, transportation, environment monitor and assessment, and smart city development), big data quality assurance and management becomes very critical. Based on recent reports, it has been estimated that erroneous data costs US businesses 600 billion dollars annually. This special issue will focus on the subject of automatic quality assurance issues and challenges for big data and application service systems. There are emergent needs for research problems and directions on this subject in terms of quality control models, automation validation methods, approaches, and service platforms.
Guest Editors
  1. Jerry Gao, San Jose State University, San Jose, USA
  2. Hong Zhu, Oxford Brookes University, UK
  3. Chuanqi Tao, Nanjing University of Science and Technology, China
  4. Gang xie, Taiyuan University of Technology, China
Paper Submission
Authors are encouraged to submit high-quality, original work that has neither appeared in, nor is under consideration by other journals. Manuscript should be submitted to http://www.journals.elsevier.com/big-data-research/. Elsevier provides many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.

Paper Solicitation
Papers will be solicited for this journal special issue via public call of papers using social media and networks, emails, and interest groups. In addition, we plan to reach out to the accepted paper authors from two big data international conferences and works, such as IEEE International Conference on Big Data Computing and Application Services (BigDataService2017) and its workshops, and IEEE International Conference on Cloud and Big Data Computing Conference (IEEE CBD2017) and related workshops. The best quality papers on closely related subjects will be selected. These paper authors will be invited for this special issue. They will be requested to provide their extended paper version and submit to this special issue for our journal review process. Like other submitted papers, each paper will be reviewed by at least three reviewers.

Paper Review and Publication
All submitted papers will be reviewed by the selected researchers and experts in the research field committee. Each paper will be reviewed at least by three reviewers based on the review process of the Big Data Research Journal. The accepted papers will be published in A Focused Topic on Quality Assurance for Big Data Applications in the Special Issue of BDR Journal.

Paper Reviewers (to be confirmed)

Name Organization Email ID
Barna Saha AT&T Labs-Research, USA barna@research.att.com
Sunil Soares Founder & Managing Partner Information Asset, LLC, USA sunilsoares@information-asset.com
Sharona Hoffman Case Western Reserve University School of Law, USA sxh90@po.cwru.edu
Giuliano Casale Imperial College London, UK g.casale@imperial.ac.uk
Anders Haug Department of Entrepreneurship and Relationship Management, University of Southern Denmark, Kolding, Denmark adg@sam.sdu.dk
Nuno Laranjeiro, CISUC, Department of Informatics Engineering, University of Coimbra, Portugal cnl@dei.uc.pt
Li Cai School of Computer and Science, Fudan University lcai@fudan.edu.cn
Wenfei Fan School of Informatics, University of Edinburgh, and RCBD, Beihang University, China wenfei@inf.ed.ac.uk
Bixin Li School of Computer Science and Engineering, Southeast University, China bx.li@seu.edu.cn