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Software Quality. The Future of Systems- and Software Development

Overview of attention for book
Cover of 'Software Quality. The Future of Systems- and Software Development'

Table of Contents

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    Book Overview
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    Chapter 1 The Disciplined Agile Process Decision Framework
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    Chapter 2 How Scrum Tools May Change Your Agile Software Development Approach
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    Chapter 3 Towards Business Process Execution Adequacy Criteria
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    Chapter 4 An Experience on Applying Process Mining Techniques to the Tuscan Port Community System
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    Chapter 5 Preventing Incomplete/Hidden Requirements: Reflections on Survey Data from Austria and Brazil
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    Chapter 6 An Expert-Based Requirements Effort Estimation Model Using Bayesian Networks
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    Chapter 7 Experiences from Monitoring Effects of Architectural Changes
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    Chapter 8 Making the Case for Centralized Software Architecture Management
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    Chapter 9 Preventing Composition Problems in Modular Java Applications
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    Chapter 10 Deriving Extract Method Refactoring Suggestions for Long Methods
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    Chapter 11 The Use of Precision of Software Development Effort Estimates to Communicate Uncertainty
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    Chapter 12 Web Service Test Evolution
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    Chapter 13 Integrating a Lightweight Risk Assessment Approach into an Industrial Development Process
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    Chapter 14 Fast Feedback from Automated Tests Executed with the Product Build
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    Chapter 15 Approach of a Signature Based Single Sign on Proxy Solution
Attention for Chapter 12: Web Service Test Evolution
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Citations

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Chapter title
Web Service Test Evolution
Chapter number 12
Book title
Software Quality. The Future of Systems- and Software Development
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-27033-3_12
Book ISBNs
978-3-31-927032-6, 978-3-31-927033-3
Authors

Harry M. Sneed

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 27%
Student > Ph. D. Student 2 13%
Other 1 7%
Lecturer 1 7%
Unknown 7 47%
Readers by discipline Count As %
Computer Science 7 47%
Engineering 2 13%
Unknown 6 40%

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