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Product-Focused Software Process Improvement

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Cover of 'Product-Focused Software Process Improvement'

Table of Contents

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    Book Overview
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    Chapter 1 Metrics for Code Smells of ML Pipelines
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    Chapter 2 Declarative Process Mining for Software Processes: The RuM Toolkit and the Declare4Py Python Library
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    Chapter 3 MaREA: Multi-class Random Forest for Automotive Intrusion Detection
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    Chapter 4 Forecasting the Developer’s Impact in Managing the Technical Debt
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    Chapter 5 Development of a Desktop Application to Enable Doctors to Remotely Monitor Patients’ Hematological Parameters
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    Chapter 6 The Significance of Classical Simulations in the Adoption of Quantum Technologies for Software Development
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    Chapter 7 Enhancing Bug-Fixing Time Prediction with LSTM-Based Approach
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    Chapter 8 Enhancing Code Obfuscation Techniques: Exploring the Impact of Artificial Intelligence on Malware Detection
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    Chapter 9 A Perspective on the Interplay Between 5G and Quantum Computing for Secure Algorithm and Software Engineering
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    Chapter 10 Speech Therapy Supported by AI and Smart Assistants
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    Chapter 11 Integration of Classical and Quantum Services Using an Enterprise Service Bus
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    Chapter 12 Problem Decomposition to Leverage Quantum Computing for Optimization Problems
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    Chapter 13 Quantum Algorithm Cards: Streamlining the Development of Hybrid Classical-Quantum Applications
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    Chapter 14 Simulation-Based Safety Testing of Automated Driving Systems
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    Chapter 15 Utilization of Machine Learning for the Detection of Self-admitted Vulnerabilities
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    Chapter 16 Closing the Loop: Towards a Complete Metamorphic Testing Pipeline
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Title
Product-Focused Software Process Improvement
Published by
Springer Nature Switzerland, January 2024
DOI 10.1007/978-3-031-49269-3
ISBNs
978-3-03-149268-6, 978-3-03-149269-3
Editors

Kadgien, Regine, Jedlitschka, Andreas, Janes, Andrea, Lenarduzzi, Valentina, Li, Xiaozhou

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