| DC Field | Value | Language |
|---|
| dc.contributor.author | Zibitsker, B. | - |
| dc.contributor.author | Podelko, A. | - |
| dc.date.accessioned | 2020-06-11T09:26:39Z | - |
| dc.date.available | 2020-06-11T09:26:39Z | - |
| dc.date.issued | 2020 | - |
| dc.identifier.citation | Zibitsker, B. Performance testing and modeling for new analytic applications / B. Zibitsker, A. Podelko // BIG DATA and Advanced Analytics = BIG DATA и анализ высокого уровня: сб. материалов VI Междунар. науч. - практ. конф., Минск, 20 - 21 мая 2020 года: в 3 ч. Ч. 1 / редкол.: В. А. Богуш [и др.]. – Минск : Бестпринт, 2020. – С. 19–32. | ru_RU |
| dc.identifier.isbn | 978-985-90533-7-5 | - |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/39076 | - |
| dc.description.abstract | Traditional load testing (optimized for the waterfall software development process) was mostly focused on pre-production realistic tests. Drastic changes in the industry in recent years - agile development and cloud computing probably the most - opened new opportunities for performance testing. Instead of the single way of doing performance testing, we now have a full spectrum of different tests which can be done at different moments - so deciding what and when to test has become a very non-trivial task heavily depending on the context. | ru_RU |
| dc.language.iso | en | ru_RU |
| dc.publisher | Беспринт | ru_RU |
| dc.subject | материалы конференций | ru_RU |
| dc.subject | load testing | ru_RU |
| dc.subject | performance testing | ru_RU |
| dc.subject | application performance | ru_RU |
| dc.subject | cloud platform | ru_RU |
| dc.subject | big data | ru_RU |
| dc.subject | workload characterization | ru_RU |
| dc.subject | методология DevOps | ru_RU |
| dc.title | Performance testing and modeling for new analytic applications | ru_RU |
| dc.type | Article | ru_RU |
| Appears in Collections: | BIG DATA and Advanced Analytics = BIG DATA и анализ высокого уровня : материалы конференции (2020)
|
