-------- Forwarded Message -------- Subject: [AISWorld] Development Methodologies for Big Data Analytics Systems are required ! Date: Mon, 27 Jun 2022 16:56:11 +0000 From: JOSE MANUEL MORA TAVAREZ jose.mora@edu.uaa.mx To: AISWorld@lists.aisnet.org aisworld@lists.aisnet.org CC: Fen Wang Fen.Wang@cwu.edu, jorge.marx.gomez@uni-oldenburg.de jorge.marx.gomez@uni-oldenburg.de, hduran.limon hduran.limon@gmail.com

Call for Book Chapters "Development Methodologies for Big Data Analytics Systems – plan-driven, agile, hybrid, lightweight approaches"

Springer Nature - Book Series: Transactions on Computational Science & Computational Intelligence Series Editor: Prof. Hamid R. Arabnia https://www.springer.com/series/11769

Chapter proposal (400-500 words) period: May 31, 2022 – July 31, 2022 Full chapter submission deadline: August 31, 2022

Why?

* BDA systems have been mainly developed and used for large business organizations due to the nature of the implicated human, technological, organizational, and data resources required for such developments (Maroufkhani et al., 2020; Davenport & Bean, 2022). Additionally, it has been recently identified that the systematic development of BDA systems has not been usually pursued by organizations, and despite the adaptation of a few comprehensive development methodologies for Data Analytics systems (Martinez et al; 2021) such as CRISP-DM, SEMMA, and KDD, many failed BDA system development projects are frequent (Davenport & Malone, 2021). From a Systems and Software Engineering perspective, the utilization of software processes and development methodologies – plan-driven, agile, hybrid, and lightweight types – are necessary to fit the expected "Iron Triangle" metrics of schedule, budget, and quality (Humphrey, 2005; Agarwal & Rathod, 2006; Humphrey et al., 2007). Hence, initial top research has realized the need to incorporate software and systems engineering development methods for comply the business expectations of BDA systems (Martinez-Plumed et al., 2019; Haakman et al., 2021; Davenport & Malone, 2021).

Full CFC details at:

CFC_BOOK_SWDS.pdfhttp://148.211.145.149/cfc/CFC_BOOK_SWDS.pdf

Book Co-Editors: Prof. Manuel Mora, Autonomous University of Aguascalientes, Mexico Prof. Fen Wang, Central Washington University, USA Prof. Jorge Marx Gómez, University of Oldenburg, Germany Prof. Hector Duran-Limon, University of Guadalajara, Mexico

------------------------------------------------------------ Prof. Dr. José Manuel Mora Tavarez Depto. de Sistemas de Información Centro de Ciencias Básicas Universidad Autónoma de Aguascalientes Ave. Universidad 940 Aguascalientes, AGS. México 20131 Email: jose.mora@edu.uaa.mx https://www.researchgate.net/profile/Manuel_Mora ResearchGate Weblinkhttps://www.researchgate.net/profile/Manuel_Mora https://scholar.google.com.mx/citations?user=97rTgbkAAAAJ&hl=en&oi=sra Scholar Google Weblinkhttps://scholar.google.com.mx/citations?user=97rTgbkAAAAJ&hl=en&oi=sra Linkedin Weblinkhttps://www.linkedin.com/in/manuel-mora-engd-37b03a1/ SCOPUS Weblinkhttps://www.scopus.com/authid/detail.uri?authorId=25823339800 ------------------------------------------------------------

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