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Software Process and Product Measurement

Overview of attention for book
Cover of 'Software Process and Product Measurement'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Ensuring Reliability of Information Provided by Measurement Systems
  3. Altmetric Badge
    Chapter 2 Analysis of the Functional Size Measurement Methods Usage by Polish Business Software Systems Providers
  4. Altmetric Badge
    Chapter 3 Leveraging People-Related Maturity Issues for Achieving Higher Maturity and Capability Levels
  5. Altmetric Badge
    Chapter 4 A General Model for Measurement Improvement
  6. Altmetric Badge
    Chapter 5 What Are the Significant Cost Drivers for COSMIC Functional Size Based Effort Estimation?
  7. Altmetric Badge
    Chapter 6 Analysis of the Risk Assessment Methods – A Survey
  8. Altmetric Badge
    Chapter 7 Cockpit Based Management Architectures
  9. Altmetric Badge
    Chapter 8 A Case Study in COSMIC Functional Size Measurement: The Rice Cooker Revisited
  10. Altmetric Badge
    Chapter 9 Functional Size of a Real-Time System
  11. Altmetric Badge
    Chapter 10 A Prototypical Simulation Model to Analyze the Business Process Performance
  12. Altmetric Badge
    Chapter 11 Improvement Opportunities and Suggestions for Benchmarking
  13. Altmetric Badge
    Chapter 12 Functional Size Measurement Quality Challenges for Inexperienced Measurers
  14. Altmetric Badge
    Chapter 13 Applying Test Case Metrics in a Tool Supported Iterative Architecture and Code Improvement Process
  15. Altmetric Badge
    Chapter 14 Towards an Early Software Effort Estimation Based on Functional and Non-Functional Requirements
  16. Altmetric Badge
    Chapter 15 Formalization Studies in Functional Size Measurement: How Do They Help?
  17. Altmetric Badge
    Chapter 16 Using Models to Develop Measurement Systems: A Method and Its Industrial Use
  18. Altmetric Badge
    Chapter 17 Evaluating Process Quality Based on Change Request Data – An Empirical Study of the Eclipse Project
  19. Altmetric Badge
    Chapter 18 Empirical Evaluation of Hunk Metrics as Bug Predictors
  20. Altmetric Badge
    Chapter 19 Using Support Vector Regression for Web Development Effort Estimation
  21. Altmetric Badge
    Chapter 20 A Comparison of Neural Network Model and Regression Model Approaches Based on Sub-functional Components
  22. Altmetric Badge
    Chapter 21 Formal Definition of Measures for BPMN Models
  23. Altmetric Badge
    Chapter 22 Using Tabu Search to Estimate Software Development Effort
  24. Altmetric Badge
    Chapter 23 An Experimental Study on the Reliability of COSMIC Measurement Results
  25. Altmetric Badge
    Chapter 24 Assessing the Documentation Development Effort in Software Projects
Attention for Chapter 8: A Case Study in COSMIC Functional Size Measurement: The Rice Cooker Revisited
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Mentioned by

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1 Wikipedia page

Citations

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Readers on

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22 Mendeley
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Chapter title
A Case Study in COSMIC Functional Size Measurement: The Rice Cooker Revisited
Chapter number 8
Book title
Software Process and Product Measurement
Published in
ADS, November 2009
DOI 10.1007/978-3-642-05415-0_8
Book ISBNs
978-3-64-205414-3, 978-3-64-205415-0
Authors

Luigi Lavazza, Vieri Del Bianco, Lavazza, Luigi, Bianco, Vieri Del, Bianco, Vieri, Del Bianco, Vieri

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 27%
Student > Master 3 14%
Researcher 3 14%
Lecturer 1 5%
Professor 1 5%
Other 3 14%
Unknown 5 23%
Readers by discipline Count As %
Computer Science 12 55%
Unspecified 1 5%
Business, Management and Accounting 1 5%
Chemistry 1 5%
Unknown 7 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 31 July 2020.
All research outputs
#7,554,098
of 23,043,346 outputs
Outputs from ADS
#9,313
of 37,451 outputs
Outputs of similar age
#34,405
of 95,122 outputs
Outputs of similar age from ADS
#79
of 289 outputs
Altmetric has tracked 23,043,346 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 37,451 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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 95,122 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 289 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.