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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 Problem-Oriented Requirements in Practice – A Case Study
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    Chapter 2 An Exploratory Study on How Internet of Things Developing Companies Handle User Experience Requirements
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    Chapter 3 Inferring Ontology Fragments from Semantic Role Typing of Lexical Variants
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    Chapter 4 Using Tools to Assist Identification of Non-requirements in Requirements Specifications – A Controlled Experiment
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    Chapter 5 Evaluation of Techniques to Detect Wrong Interaction Based Trace Links
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    Chapter 6 Second-Guessing in Tracing Tasks Considered Harmful?
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    Chapter 7 Interview Review: An Empirical Study on Detecting Ambiguities in Requirements Elicitation Interviews
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    Chapter 8 Pinpointing Ambiguity and Incompleteness in Requirements Engineering via Information Visualization and NLP
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    Chapter 9 Quality Requirements Challenges in the Context of Large-Scale Distributed Agile: An Empirical Study
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    Chapter 10 The Problem of Consolidating RE Practices at Scale: An Ethnographic Study
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    Chapter 11 QREME – Quality Requirements Management Model for Supporting Decision-Making
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    Chapter 12 The Influence of Green Strategies Design onto Quality Requirements Prioritization
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    Chapter 13 On Modelers Ability to Build a Visual Diagram from a User Story Set: A Goal-Oriented Approach
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    Chapter 14 Jobs-to-be-Done Oriented Requirements Engineering: A Method for Defining Job Stories
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    Chapter 15 Keeping Evolving Requirements and Acceptance Tests Aligned with Automatically Generated Guidance
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    Chapter 16 Coexisting Graphical and Structured Textual Representations of Requirements: Insights and Suggestions
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    Chapter 17 Security Requirements Elicitation from Engineering Governance, Risk Management and Compliance
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    Chapter 18 On the Understanding of BDD Scenarios’ Quality: Preliminary Practitioners’ Opinions
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    Chapter 19 Personal Recommendations in Requirements Engineering: The OpenReq Approach
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    Chapter 20 State of Requirements Engineering Research in the Context of Big Data Applications
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    Chapter 21 Automatic User Preferences Elicitation: A Data-Driven Approach
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    Chapter 22 Streamlining Semantics from Requirements to Implementation Through Agile Mind Mapping Methods
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    Chapter 23 A Persona-Based Modelling for Contextual Requirements
Attention for Chapter 2: An Exploratory Study on How Internet of Things Developing Companies Handle User Experience Requirements
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Chapter title
An Exploratory Study on How Internet of Things Developing Companies Handle User Experience Requirements
Chapter number 2
Book title
Requirements Engineering: Foundation for Software Quality
Published in
arXiv, March 2018
DOI 10.1007/978-3-319-77243-1_2
Book ISBNs
978-3-31-977242-4, 978-3-31-977243-1
Authors

Johanna Bergman, Thomas Olsson, Isabelle Johansson, Kirsten Rassmus-Gröhn, Isabelle johansson

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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 22%
Student > Ph. D. Student 9 12%
Student > Bachelor 8 11%
Student > Postgraduate 5 7%
Student > Doctoral Student 4 5%
Other 12 16%
Unknown 21 28%
Readers by discipline Count As %
Computer Science 32 42%
Engineering 9 12%
Design 7 9%
Business, Management and Accounting 2 3%
Economics, Econometrics and Finance 2 3%
Other 5 7%
Unknown 19 25%
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 09 March 2018.
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#21,503,027
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#756,249
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