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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

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Risk-Aware Multi-stakeholder Next Release Planning Using Multi-objective Optimization
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    Chapter 2 Goal-Based Decision Making
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    Chapter 3 Optimizing the Incremental Delivery of Software Features Under Uncertainty
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    Chapter 4 Do Information Retrieval Algorithms for Automated Traceability Perform Effectively on Issue Tracking System Data?
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    Chapter 5 How Firms Adapt and Interact in Open Source Ecosystems: Analyzing Stakeholder Influence and Collaboration Patterns
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    Chapter 6 Evaluating the Interpretation of Natural Language Trace Queries
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    Chapter 7 Indicators for Open Issues in Business Process Models
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    Chapter 8 Automated Classification of Legal Cross References Based on Semantic Intent
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    Chapter 9 Deriving Metrics for Estimating the Effort Needed in Requirements Compliance Work
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    Chapter 10 Requirements Defects over a Project Lifetime: An Empirical Analysis of Defect Data from a 5-Year Automotive Project at Bosch
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    Chapter 11 Take Care of Your Modes! An Investigation of Defects in Automotive Requirements
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    Chapter 12 Gamified Requirements Engineering: Model and Experimentation
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    Chapter 13 Documenting Relations Between Requirements and Design Decisions: A Case Study on Design Session Transcripts
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    Chapter 14 The Use and Effectiveness of User Stories in Practice
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    Chapter 15 Foundations for Transparency Requirements Engineering
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    Chapter 16 What Is Essential? – A Pilot Survey on Views About the Requirements Metamodel of reqT.org
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    Chapter 17 People’s Capabilities are a Blind Spot in RE Research and Practice
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    Chapter 18 Customer Involvement in Continuous Deployment: A Systematic Literature Review
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    Chapter 19 Common Threats and Mitigation Strategies in Requirements Engineering Experiments with Student Participants
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    Chapter 20 Lean Development in Design Science Research: Deliberating Principles, Prospects and Pitfalls
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    Chapter 21 How Do We Read Specifications? Experiences from an Eye Tracking Study
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
3 X users
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
63 Mendeley
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Title
Requirements Engineering: Foundation for Software Quality
Published by
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-319-30282-9
ISBNs
978-3-31-930281-2, 978-3-31-930282-9
Editors

Maya Daneva, Oscar Pastor

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 8%
Student > Master 2 3%
Professor 1 2%
Unknown 55 87%
Readers by discipline Count As %
Computer Science 5 8%
Engineering 2 3%
Physics and Astronomy 1 2%
Unknown 55 87%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 05 February 2021.
All research outputs
#5,614,977
of 22,856,968 outputs
Outputs from Lecture notes in computer science
#1,771
of 8,127 outputs
Outputs of similar age
#89,056
of 393,628 outputs
Outputs of similar age from Lecture notes in computer science
#209
of 581 outputs
Altmetric has tracked 22,856,968 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 78% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 393,628 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 581 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.