Software Engineering for Big Data Systems

التفاصيل البيبلوغرافية
العنوان: Software Engineering for Big Data Systems
المؤلفون: Ayse Bener, Ian Gorton, Audris Mockus
المصدر: IEEE Software. 33:32-35
بيانات النشر: Institute of Electrical and Electronics Engineers (IEEE), 2016.
سنة النشر: 2016
مصطلحات موضوعية: 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
الوصف: 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.
تدمد: 0740-7459
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::167aa302dbe8be5783a7d1cc5affaebf
https://doi.org/10.1109/ms.2016.47
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........167aa302dbe8be5783a7d1cc5affaebf
قاعدة البيانات: OpenAIRE