Back to Search
Start Over
Software Engineering for Big Data Systems
- Source :
- IEEE Software. 33:32-35
- Publication Year :
- 2016
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2016.
-
Abstract
- Software engineering for big data systems is complex and faces challenges including pervasive distribution, write-heavy workloads, variable request loads, computation-intensive analytics, and high availability. The articles in this theme issue examine several facets of this complicated puzzle. The Web extra at https://youtu.be/YKBGf9EOBUo is an audio recording of Davide Falessi speaking with Ayse Basar Bener and Audris Mockus about the authors, articles, and discussions that went into the IEEE Software March/April 2016 theme issue on software engineering for big data systems.
- Subjects :
- Computer science
02 engineering and technology
Software walkthrough
World Wide Web
Software development process
Software analytics
Software
0202 electrical engineering, electronic engineering, information engineering
Software requirements
Software verification and validation
Software system
Social software engineering
business.industry
Software development
020207 software engineering
Data science
Software deployment
Analytics
High availability
Software construction
Component-based software engineering
Personal software process
Package development process
020201 artificial intelligence & image processing
Software engineering
business
Subjects
Details
- ISSN :
- 07407459
- Volume :
- 33
- Database :
- OpenAIRE
- Journal :
- IEEE Software
- Accession number :
- edsair.doi...........167aa302dbe8be5783a7d1cc5affaebf