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Managing Requirements Knowledge

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Cover of 'Managing Requirements Knowledge'

Table of Contents

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    Book Overview
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    Chapter 1 An Introduction to Requirements Knowledge
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    Chapter 2 Unpacking Tacit Knowledge for Requirements Engineering
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    Chapter 3 Mining Requirements Knowledge from Operational Experience
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    Chapter 4 DUFICE : Guidelines for a Lightweight Management of Requirements Knowledge
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    Chapter 5 Constructing and Using Software Requirement Patterns
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    Chapter 6 Using Ontologies and Machine Learning for Hazard Identification and Safety Analysis
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    Chapter 7 Knowledge-Assisted Ontology-Based Requirements Evolution
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    Chapter 8 Reusing Requirements in Global Software Engineering
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    Chapter 9 Performative and Lexical Knowledge Sharing in Agile Requirements
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    Chapter 10 Using Web 2.0 for Stakeholder Analysis: StakeSource and Its Application in Ten Industrial Projects
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    Chapter 11 Resolving Inconsistency and Incompleteness Issues in Software Requirements
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    Chapter 12 Automated Verification of Variability Model Using First-Order Logic
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    Chapter 13 Model-Based Requirements Engineering Framework for Systems Life-Cycle Support
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    Chapter 14 An Overview of Recommender Systems in Requirements Engineering
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    Chapter 15 Experience-Based Requirements Engineering Tools
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    Chapter 16 The Eclipse Requirements Modeling Framework
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    Chapter 17 Managing Requirements Knowledge: Conclusion and Outlook
Attention for Chapter 16: The Eclipse Requirements Modeling Framework
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Chapter title
The Eclipse Requirements Modeling Framework
Chapter number 16
Book title
Managing Requirements Knowledge
Published by
Springer, Berlin, Heidelberg, January 2013
DOI 10.1007/978-3-642-34419-0_16
Book ISBNs
978-3-64-234418-3, 978-3-64-234419-0
Authors

M. Jastram, Jastram, M.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 8%
Unknown 12 92%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 46%
Other 3 23%
Researcher 2 15%
Student > Doctoral Student 1 8%
Unknown 1 8%
Readers by discipline Count As %
Computer Science 6 46%
Engineering 4 31%
Economics, Econometrics and Finance 2 15%
Unknown 1 8%