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This book explores various aspects of software creation and development as well as data and information processing. It covers relevant topics such as business analysis, business rules, requirements engineering, software development processes, software defect prediction, information management systems, and knowledge management solutions. Lastly, the book presents lessons learned in information and data management processes and procedures.
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Lecture Notes on Data Engineering and Communications Technologies 40 Aneta Poniszewska-Marańda Natalia Kryvinska Stanisław Jarząbek Lech Madeyski Editors Data-Centric Business and Applications Towards Software Development (Volume 4) Lecture Notes on Data Engineering and Communications Technologies Volume 40 Series Editor Fatos Xhafa, Technical University of Catalonia, Barcelona, Spain The aim of the book series is to present cutting edge engineering approaches to data technologies and communications. It will publish latest advances on the engineering task of building and deploying distributed, scalable and reliable data infrastructures and communication systems. The series will have a prominent applied focus on data technologies and communications with aim to promote the bridging from fundamental research on data science and networking to data engineering and communications that lead to industry products, business knowledge and standardisation. ** Indexing: The books of this series are submitted to ISI Proceedings, MetaPress, Springerlink and DBLP ** More information about this series at http://www.springer.com/series/15362 Aneta Poniszewska-Marańda Natalia Kryvinska Stanisław Jarząbek Lech Madeyski • • • Editors Data-Centric Business and Applications Towards Software Development (Volume 4) 123 Editors Aneta Poniszewska-Marańda Institute of Information Technology Lodz University of Technology Łódź, Poland Stanisław Jarząbek Faculty of Computer Science Bialystok University of Technology Białystok, Poland Natalia Kryvinska Department of e-Business, Faculty of Business, Economics and Statistics University of Vienna Vienna, Wien, Austria Lech Madeyski Faculty of Computer Science and Management Wrocław University of Science and Technology Wrocław, Poland ISSN 2367-4512 ISSN 2367-4520 (electronic) Lecture Notes on Data Engineering and Communications Technologies ISBN 978-3-030-34705-5 ISBN 978-3-030-34706-2 (eBook) https://doi.org/10.1007/978-3-030-34706-2 © Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Sp