Machine Learning for Dynamic Software Analysis: Potentials and Limits: International Dagstuhl Seminar 16172, Dagstuhl Castle, Germany, April 24-27, 2016, Revised Papers
(Bog, Paperback / softback, Engelsk)
Beskrivelse
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.
Læsernes anmeldelser (0)
Alle detaljer
| Forlag | Springer International Publishing AG |
| Type | Bog |
| Format | Paperback / softback |
| Sprog | Engelsk |
| Udgave | 2018 ed. |
| Udgivelsesdato | 21-07-2018 |
| Første udgivelsesår | 2018 |
| Serie | Lecture Notes in Computer Science |
| Illustrationer | 38 Illustrations, black and white |
| Fagredaktør | Amel Bennaceur, Reiner Hahnle, Karl Meinke |
| Originalsprog | Switzerland |
| Sideantal | 257 |
| Indbinding | Paperback / softback |
| Forlag | Springer International Publishing AG |
| Sideoplysninger | 257 pages, 38 Illustrations, black and white |
| Mål | 235 x 155 |
| ISBN-13 / EAN-13 | 9783319965611 |