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Software Engineering: Challenges and Solutions

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Cover of 'Software Engineering: Challenges and Solutions'

Table of Contents

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    Book Overview
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    Chapter 1 Business Rule Patterns Catalog for Structural Business Rules
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    Chapter 2 Sketching Use-Case Scenarios Based on Use-Case Goals and Patterns
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    Chapter 3 Domain Modeling Based on Requirements Specification and Ontology
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    Chapter 4 Semantic Validation of UML Class Diagrams with the Use of Domain Ontologies Expressed in OWL 2
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    Chapter 5 RSL-DL: Representing Domain Knowledge for the Purpose of Code Generation
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    Chapter 6 Assessment of the Software Defect Prediction Cost Effectiveness in an Industrial Project
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    Chapter 7 Dynamic Stylometry for Defect Prediction
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    Chapter 8 Mutant Generation for WSDL
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    Chapter 9 Improving Measurement Certainty by Using Calibration to Find Systematic Measurement Error—A Case of Lines-of-Code Measure
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    Chapter 10 Performance Comparison of CRM Systems Dedicated to Reporting Failures to IT Department
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    Chapter 11 Software Engineering Needs Agile Experimentation: A New Practice and Supporting Tool
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    Chapter 12 An Industrial Survey on Business Analysis Problems and Solutions
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    Chapter 13 Beyond Software Architecture Knowledge Management Tools
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    Chapter 14 Model of RUP Processes Maturity Assessment in IT Organizations
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    Chapter 15 A Collaborative Approach to Developing a Part-Time Ph.D. Program in IT Architecture with Industry Cooperation
Attention for Chapter 11: Software Engineering Needs Agile Experimentation: A New Practice and Supporting Tool
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Chapter title
Software Engineering Needs Agile Experimentation: A New Practice and Supporting Tool
Chapter number 11
Book title
Software Engineering: Challenges and Solutions
Published by
Springer International Publishing, August 2016
DOI 10.1007/978-3-319-43606-7_11
Book ISBNs
978-3-31-943605-0, 978-3-31-943606-7
Authors

Lech Madeyski, Marcin Kawalerowicz

Editors

Lech Madeyski, Michał Śmiałek, Bogumiła Hnatkowska, Zbigniev Huzar

X Demographics

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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 14%
Unknown 6 86%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 57%
Student > Ph. D. Student 1 14%
Other 1 14%
Professor > Associate Professor 1 14%
Readers by discipline Count As %
Computer Science 5 71%
Business, Management and Accounting 1 14%
Engineering 1 14%