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Machine Learning for Dynamic Software Analysis: Potentials and Limits: International Dagstuhl Seminar 16172, Dagstuhl Castle, Germany, April 24-27, 2016, Revised Papers - Lecture Notes in Computer Science 2018 edition
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Machine Learning for Dynamic Software Analysis: Potentials and Limits: International Dagstuhl Seminar 16172, Dagstuhl Castle, Germany, April 24-27, 2016, Revised Papers - Lecture Notes in Computer Science
Machine learning of software artefacts is an emerging area of interaction between the machine learning and software analysis communities. These require new software analysis techniques based on machine learning, such as learning-based software testing, invariant generation or code synthesis.
257 pages, 38 Illustrations, black and white; IX, 257 p. 38 illus.
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | July 21, 2018 |
| ISBN13 | 9783319965611 |
| Publishers | Springer International Publishing AG |
| Pages | 257 |
| Dimensions | 150 × 220 × 10 mm · 381 g |
| Language | German |
| Editor | Bennaceur, Amel |
| Editor | Hahnle, Reiner |
| Editor | Meinke, Karl |
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