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Mendeley readers
Chapter title |
The Adoption of Machine Learning Techniques for Software Defect Prediction: An Initial Industrial Validation
|
---|---|
Chapter number | 23 |
Book title |
Knowledge-Based Software Engineering
|
Published by |
Springer International Publishing, January 2014
|
DOI | 10.1007/978-3-319-11854-3_23 |
Book ISBNs |
978-3-31-911853-6, 978-3-31-911854-3
|
Authors |
Rakesh Rana, Miroslaw Staron, Christian Berger, Jörgen Hansson, Martin Nilsson, Wilhelm Meding |
Editors |
Alla Kravets, Maxim Shcherbakov, Marina Kultsova, Tadashi Iijima |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 2% |
Sweden | 1 | 2% |
Brazil | 1 | 2% |
Unknown | 50 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 25% |
Student > Master | 10 | 19% |
Researcher | 7 | 13% |
Student > Postgraduate | 3 | 6% |
Professor > Associate Professor | 3 | 6% |
Other | 7 | 13% |
Unknown | 10 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 27 | 51% |
Engineering | 3 | 6% |
Business, Management and Accounting | 2 | 4% |
Earth and Planetary Sciences | 2 | 4% |
Chemical Engineering | 1 | 2% |
Other | 3 | 6% |
Unknown | 15 | 28% |