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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.
| メディア | 書籍 Paperback Book (ソフトカバーで背表紙を接着した本) |
| リリース済み | 2018年7月21日 |
| ISBN13 | 9783319965611 |
| 出版社 | Springer International Publishing AG |
| ページ数 | 257 |
| 寸法 | 150 × 220 × 10 mm · 381 g |
| 言語 | ドイツ語 |
| 編集者 | Bennaceur, Amel |
| 編集者 | Hahnle, Reiner |
| 編集者 | Meinke, Karl |
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