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Software Quality. Model-Based Approaches for Advanced Software and Systems Engineering

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Cover of 'Software Quality. Model-Based Approaches for Advanced Software and Systems Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 Software Quality Assurance by Static Program Analysis
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    Chapter 2 An Industry Ready Defect Causal Analysis Approach Exploring Bayesian Networks
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    Chapter 3 Business Intelligence in Software Quality Monitoring: Experiences and Lessons Learnt from an Industrial Case Study
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    Chapter 4 Dealing with Technical Debt in Agile Development Projects
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    Chapter 5 Statistical Analysis of Requirements Prioritization for Transition to Web Technologies: A Case Study in an Electric Power Organization
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    Chapter 6 Challenges and Solutions in Global Requirements Engineering – A Literature Survey
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    Chapter 7 Automated Feature Identification in Web Applications
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    Chapter 8 Value-Based Migration of Legacy Data Structures
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    Chapter 9 An Integrated Analysis and Testing Methodology to Support Model-Based Quality Assurance
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    Chapter 10 Effects of Test-Driven Development: A Comparative Analysis of Empirical Studies
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    Chapter 11 Isolated Testing of Software Components in Distributed Software Systems
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    Chapter 12 Automated Test Generation for Java Generics
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    Chapter 13 Constraint-Based Automated Generation of Test Data
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    Chapter 14 RUP Alignment and Coverage Analysis of CMMI ML2 Process Areas for the Context of Software Projects Execution
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    Chapter 15 Directing High-Performing Software Teams: Proposal of a Capability-Based Assessment Instrument Approach
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Citations

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Title
Software Quality. Model-Based Approaches for Advanced Software and Systems Engineering
Published by
Springer International Publishing, January 2014
DOI 10.1007/978-3-319-03602-1
ISBNs
978-3-31-903601-4, 978-3-31-903602-1
Authors

Dietmar Winkler, Stefan Biffl, Johannes Bergsmann

Editors

Winkler, Dietmar, Biffl, Stefan, Bergsmann, Johannes

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 57%
Student > Bachelor 2 14%
Researcher 1 7%
Professor 1 7%
Unknown 2 14%
Readers by discipline Count As %
Computer Science 9 64%
Business, Management and Accounting 2 14%
Social Sciences 1 7%
Unknown 2 14%