A success story in applying data science in practice

A. Bener, B. Turhan, A. Tosun, B. Caglayan, E. Kocaguneli

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümBölümbilirkişi

Özet

In software engineering, the primary objective is delivering high-quality systems within budget and time constraints. Managers struggle to make many decisions under a lot of uncertainty. They would like to be confident in the product, team, and the processes. Therefore, the need for evidence-based decision making, a.k.a. data science and analysis, has been growing in the software development industry as data becomes available. Data science involves analytics for using data to understand the past and present, to analyze past performance, and for using optimization and/or prediction techniques.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıPerspectives on Data Science for Software Engineering
YayınlayanElsevier
Sayfalar85-90
Sayfa sayısı6
ISBN (Elektronik)9780128042069
ISBN (Basılı)9780128042618
DOI'lar
Yayın durumuYayınlandı - 1 Oca 2016

Bibliyografik not

Publisher Copyright:
© 2016 Elsevier Inc. All rights reserved.

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