Pastāsti draugiem par šo preci:
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
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.
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2018. gada 21. jūlijs |
| ISBN13 | 9783319965611 |
| Izdevēji | Springer International Publishing AG |
| Lapas | 257 |
| Izmēri | 150 × 220 × 10 mm · 381 g |
| Valoda | Vācu |
| Redaktors | Bennaceur, Amel |
| Redaktors | Hahnle, Reiner |
| Redaktors | Meinke, Karl |