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Integrating Research and Practice in Software Engineering

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Cover of 'Integrating Research and Practice in Software Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 Creating Evolving Project Data Sets in Software Engineering
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    Chapter 2 Semantic Categorization of Software Bug Repositories for Severity Assignment Automation
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    Chapter 3 Scalable and Accurate Detection of Function Clones in Software Using Multithreading
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    Chapter 4 Inferring Hints for Defect Fixing Order from Requirements-to-test-case Mappings
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    Chapter 5 Safety and Security Integrated SIL Evaluation Using the NFR Approach
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    Chapter 6 A Software Analysis Based Vulnerability Detection System For Smart Contracts
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    Chapter 7 Securing Connection and Data Transfer Between Devices and IoT Cloud Service
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    Chapter 8 A Data-Driven Conceptual Modeling
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    Chapter 9 On Cognitive Biases in Requirements Elicitation
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    Chapter 10 Nuts and Bolts of Extracting Variability Models from Natural Language Requirements Documents
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    Chapter 11 On Importance of Non-functional Requirements in Agile Software Projects—A Survey
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    Chapter 12 Evaluation of Selected UX Techniques by Product Managers—A Preliminary Survey
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    Chapter 13 Towards a Lightweight Approach for the Evaluation of Requirements Engineering Impact on Other IT Project Areas
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    Chapter 14 From COBOL to Business Rules—Extracting Business Rules from Legacy Code
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    Chapter 15 ISO 25010 Support in Test Point Analysis for Testing Effort Estimation
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    Chapter 16 Software for Integration of Manufacturing Resources in the Hybrid Cloud Model for Industry 4.0
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    Chapter 17 Integration of Senior Software Project Courses in an Undergraduate Software Engineering Program
Overall attention for this book and its chapters
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4 tweeters

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Title
Integrating Research and Practice in Software Engineering
Published by
Springer International Publishing, December 2019
DOI 10.1007/978-3-030-26574-8
ISBNs
978-3-03-026573-1, 978-3-03-026574-8
Editors

Jarzabek, Stan, Poniszewska-Marańda, Aneta, Madeyski, Lech

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

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 %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 29%
Student > Doctoral Student 1 14%
Other 1 14%
Unknown 3 43%
Readers by discipline Count As %
Computer Science 4 57%
Unknown 3 43%