Abstract
Big data has become the most popular and influential to exist in this competitive digital world. In this regard, the selection of suitable quality attributes in big data software architecture can play a million-dollar solution. In this paper, we work on gathering and understanding key non-functional requirements in the domain of big data systems. Using Systematic Mapping Study (SMS) as a research methodology, we find more than 40 different quality attributes related to big data systems. Then, we implement the ISO/IEC 25010:2011 quality model to map all these NFRs into 8 characteristics of ISO/IEC 25010:2011 model. Finally, we show performance efficiency, functional suitability, reliability, security, usability, and scalability are the most important quality attributes for a data-intensive system. Outcomes from this survey will assist software developers to understand NFRs for data-intensive systems and identify them long before implementing them into practice.
Original language | English (US) |
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Title of host publication | 2020 IEEE International Conference on Electro Information Technology, EIT 2020 |
Publisher | IEEE Computer Society |
Pages | 25-31 |
Number of pages | 7 |
ISBN (Electronic) | 9781728153179 |
DOIs | |
State | Published - Jul 2020 |
Externally published | Yes |
Event | 2020 IEEE International Conference on Electro Information Technology, EIT 2020 - Chicago, United States Duration: Jul 31 2020 → Aug 1 2020 |
Publication series
Name | IEEE International Conference on Electro Information Technology |
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Volume | 2020-July |
ISSN (Print) | 2154-0357 |
ISSN (Electronic) | 2154-0373 |
Conference
Conference | 2020 IEEE International Conference on Electro Information Technology, EIT 2020 |
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Country/Territory | United States |
City | Chicago |
Period | 7/31/20 → 8/1/20 |
Bibliographical note
Publisher Copyright:© 2020 IEEE.
Keywords
- Big data system
- ISO/IEC 25010:2011
- Non-functional requirements
- Quality attributes