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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
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Title
Software Engineering: Challenges and Solutions
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-43606-7
ISBNs
978-3-31-943605-0, 978-3-31-943606-7
Editors

Lech Madeyski, Michał Śmiałek, Bogumiła Hnatkowska, Zbigniev Huzar

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 30%
Student > Master 6 30%
Student > Ph. D. Student 4 20%
Researcher 2 10%
Lecturer > Senior Lecturer 1 5%
Other 1 5%
Readers by discipline Count As %
Computer Science 12 60%
Business, Management and Accounting 4 20%
Engineering 3 15%
Medicine and Dentistry 1 5%