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Software Quality. Model-Based Approaches for Advanced Software and Systems Engineering

Overview of attention for book
Cover of 'Software Quality. Model-Based Approaches for Advanced Software and Systems Engineering'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Software Quality Assurance by Static Program Analysis
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    Chapter 2 An Industry Ready Defect Causal Analysis Approach Exploring Bayesian Networks
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    Chapter 3 Business Intelligence in Software Quality Monitoring: Experiences and Lessons Learnt from an Industrial Case Study
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    Chapter 4 Dealing with Technical Debt in Agile Development Projects
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    Chapter 5 Statistical Analysis of Requirements Prioritization for Transition to Web Technologies: A Case Study in an Electric Power Organization
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    Chapter 6 Challenges and Solutions in Global Requirements Engineering – A Literature Survey
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    Chapter 7 Automated Feature Identification in Web Applications
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    Chapter 8 Value-Based Migration of Legacy Data Structures
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    Chapter 9 An Integrated Analysis and Testing Methodology to Support Model-Based Quality Assurance
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    Chapter 10 Effects of Test-Driven Development: A Comparative Analysis of Empirical Studies
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    Chapter 11 Isolated Testing of Software Components in Distributed Software Systems
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    Chapter 12 Automated Test Generation for Java Generics
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    Chapter 13 Constraint-Based Automated Generation of Test Data
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    Chapter 14 RUP Alignment and Coverage Analysis of CMMI ML2 Process Areas for the Context of Software Projects Execution
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    Chapter 15 Directing High-Performing Software Teams: Proposal of a Capability-Based Assessment Instrument Approach
Attention for Chapter 10: Effects of Test-Driven Development: A Comparative Analysis of Empirical Studies
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Mentioned by

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2 X users

Citations

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6 Dimensions

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66 Mendeley
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Chapter title
Effects of Test-Driven Development: A Comparative Analysis of Empirical Studies
Chapter number 10
Book title
Software Quality. Model-Based Approaches for Advanced Software and Systems Engineering
Published in
Lecture Notes in Business Information Processing, January 2014
DOI 10.1007/978-3-319-03602-1_10
Book ISBNs
978-3-31-903601-4, 978-3-31-903602-1
Authors

Simo Mäkinen, Jürgen Münch, Mäkinen, Simo, Münch, Jürgen

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Cuba 1 2%
Brazil 1 2%
United Kingdom 1 2%
Spain 1 2%
Unknown 61 92%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 27%
Student > Ph. D. Student 9 14%
Student > Bachelor 7 11%
Other 5 8%
Student > Postgraduate 3 5%
Other 8 12%
Unknown 16 24%
Readers by discipline Count As %
Computer Science 42 64%
Engineering 4 6%
Unspecified 3 5%
Biochemistry, Genetics and Molecular Biology 1 2%
Unknown 16 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 08 May 2017.
All research outputs
#16,464,459
of 25,992,468 outputs
Outputs from Lecture Notes in Business Information Processing
#1
of 1 outputs
Outputs of similar age
#190,247
of 323,732 outputs
Outputs of similar age from Lecture Notes in Business Information Processing
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 1.5. This one scored the same or higher as 0 of them.
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 323,732 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them