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Requirements Engineering: Foundation for Software Quality

Overview of attention for book
Cover of 'Requirements Engineering: Foundation for Software Quality'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Why the Electronic Land Registry Failed
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    Chapter 2 Answering a Request for Proposal – Challenges and Proposed Solutions
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    Chapter 3 Impediments to Requirements-Compliance
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    Chapter 4 How Architects See Non-Functional Requirements: Beware of Modifiability
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    Chapter 5 Research Preview: Prioritizing Quality Requirements Based on Software Architecture Evaluation Feedback
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    Chapter 6 A Simulation Approach for Impact Analysis of Requirement Volatility Considering Dependency Change
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    Chapter 7 Collaborative Resolution of Requirements Mismatches When Adopting Open Source Components
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    Chapter 8 High-Level Requirements Management and Complexity Costs in Automotive Development Projects: A Problem Statement
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    Chapter 9 Choose Your Creativity: Why and How Creativity in Requirements Engineering Means Different Things to Different People
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    Chapter 10 Supporting Failure Mode and Effect Analysis: A Case Study with Failure Sequence Diagrams
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    Chapter 11 Aligning Mal-activity Diagrams and Security Risk Management for Security Requirements Definitions
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    Chapter 12 Towards a More Semantically Transparent i* Visual Syntax
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    Chapter 13 Providing Software Product Line Knowledge to Requirements Engineers – A Template for Elicitation Instructions
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    Chapter 14 Supporting Learning Organisations in Writing Better Requirements Documents Based on Heuristic Critiques
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    Chapter 15 Managing Implicit Requirements Using Semantic Case-Based Reasoning Research Preview
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    Chapter 16 Trace Queries for Safety Requirements in High Assurance Systems
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    Chapter 17 Which Traceability Visualization Is Suitable in This Context? A Comparative Study
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    Chapter 18 The Case for Dumb Requirements Engineering Tools
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    Chapter 19 Automatic Analysis of Multimodal Requirements: A Research Preview
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    Chapter 20 10 Myths of Software Quality
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    Chapter 21 Empirical Analysis of the Impact of Requirements Engineering on Software Quality
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    Chapter 22 A Systematic Literature Review on Service Description Methods
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    Chapter 23 A Pattern-Based Method for Identifying and Analyzing Laws
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    Chapter 24 Towards a Requirements Modeling Language for Self-Adaptive Systems
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    Chapter 25 Requirements Monitoring for Adaptive Service-Based Applications
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    Chapter 26 Release Planning with Feature Trees: Industrial Case
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    Chapter 27 Goal-Oriented Requirements Engineering and Enterprise Architecture: Two Case Studies and Some Lessons Learned
Attention for Chapter 8: High-Level Requirements Management and Complexity Costs in Automotive Development Projects: A Problem Statement
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Chapter title
High-Level Requirements Management and Complexity Costs in Automotive Development Projects: A Problem Statement
Chapter number 8
Book title
Requirements Engineering: Foundation for Software Quality
Published in
arXiv, March 2012
DOI 10.1007/978-3-642-28714-5_8
Book ISBNs
978-3-64-228713-8, 978-3-64-228714-5
Authors

Tim Gülke, Bernhard Rumpe, Martin Jansen, Joachim Axmann

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 3%
Germany 1 3%
Unknown 28 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 33%
Student > Ph. D. Student 5 17%
Student > Bachelor 4 13%
Researcher 2 7%
Lecturer > Senior Lecturer 1 3%
Other 2 7%
Unknown 6 20%
Readers by discipline Count As %
Computer Science 10 33%
Business, Management and Accounting 9 30%
Engineering 3 10%
Social Sciences 1 3%
Economics, Econometrics and Finance 1 3%
Other 0 0%
Unknown 6 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 September 2014.
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#20,236,620
of 22,763,032 outputs
Outputs from arXiv
#668,971
of 934,344 outputs
Outputs of similar age
#144,580
of 159,774 outputs
Outputs of similar age from arXiv
#1,889
of 3,064 outputs
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We're also able to compare this research output to 3,064 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.