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Data-Centric Business and Applications

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Cover of 'Data-Centric Business and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Towards a Unified Requirements Model for Distributed High Performance Computing
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    Chapter 2 Requirement Engineering as a Software Development Process
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    Chapter 3 Information Management System for an Administrative Office with RFID-Tagged Classified Documents
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    Chapter 4 Framework for Processing Behavioral Business Rules Written in a Controlled Natural Language
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    Chapter 5 Software Defect Prediction Using Bad Code Smells: A Systematic Literature Review
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    Chapter 6 Software Development Artifacts in Large Agile Organizations: A Comparison of Scaling Agile Methods
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    Chapter 7 Tabu Search Algorithm for Vehicle Routing Problem with Time Windows
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    Chapter 8 Code Smell Prediction Employing Machine Learning Meets Emerging Java Language Constructs
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    Chapter 9 Cloud Cognitive Services Based on Machine Learning Methods in Architecture of Modern Knowledge Management Solutions
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    Chapter 10 Anti-Cheat Tool for Detecting Unauthorized User Interference in the Unity Engine Using Blockchain
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    Chapter 11 Approaches to Business Analysis in Scrum at StepStone—Case Study
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    Chapter 12 Development Method of Innovative Projects in Higher Education Based on Traditional Software Building Process
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    Chapter 13 Light-Weight Congestion Control for the DCCP: Implementation in the Linux Kernel
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Title
Data-Centric Business and Applications
Published by
Springer International Publishing, January 2020
DOI 10.1007/978-3-030-34706-2
ISBNs
978-3-03-034705-5, 978-3-03-034706-2
Editors

Aneta Poniszewska-Marańda, Natalia Kryvinska, Stanisław Jarząbek, Lech Madeyski

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