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Software Quality: The Complexity and Challenges of Software Engineering and Software Quality in the Cloud

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Cover of 'Software Quality: The Complexity and Challenges of Software Engineering and Software Quality in the Cloud'

Table of Contents

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    Book Overview
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    Chapter 1 Multi-disciplinary Engineering of Production Systems – Challenges for Quality of Control Software
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    Chapter 2 Towards a Flexible and Secure Round-Trip-Engineering Process for Production Systems Engineering with Agile Practices
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    Chapter 3 Relating Verification and Validation Methods to Software Product Quality Characteristics: Results of an Expert Survey
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    Chapter 4 Listen to Your Users – Quality Improvement of Mobile Apps Through Lightweight Feedback Analyses
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    Chapter 5 Agile Software Process Improvement by Learning from Financial and Fintech Companies: LHV Bank Case Study
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    Chapter 6 Why Software Testing Fails: Common Pitfalls Observed in a Critical Smart Metering Project
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    Chapter 7 Mixed Reality Applications in Industry: Challenges and Research Areas
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    Chapter 8 Improving Defect Localization by Classifying the Affected Asset Using Machine Learning
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    Chapter 9 Benefits and Drawbacks of Representing and Analyzing Source Code and Software Engineering Artifacts with Graph Databases
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    Chapter 10 Evaluating Maintainability Prejudices with a Large-Scale Study of Open-Source Projects
Attention for Chapter 9: Benefits and Drawbacks of Representing and Analyzing Source Code and Software Engineering Artifacts with Graph Databases
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