Published 2019 | Version v1
Journal article

Monitoring LHCb Trigger developments using nightly integration tests and a new interactive web UI

  • 1. Edinburgh University, James Clerk Maxwell Building, Peter Guthrie Tait Road, Edinburgh, EH9 3FD (United Kingdom)
  • 2. Laboratory for High Energy Physics (LPHE), EPFL-SB-IPHYS-LPHE BSP - Cubotron CH-1015 Lausanne (Switzerland)

Description

The LHCb Performance Regression (LHCbPR) framework allows for periodic software testing to be performed in a reproducible manner. LHCbPR provides a JavaScript based web front-end service, built atop industry standard tools such as AngularJS, Bootstrap and Django. This framework records the evolution of tests over time allowing for this data to be extracted for end-user analysis. The LHCbPR framework has been expanded to integrate the nightly testing and profiling. These developments allow for key performance metrics within the Trigger software to be monitored over time. Additionally, tests of the full physics reconstruction have been integrated into LHCbPR. These allow for tracking the effect that optimization work has on physics reconstruction performance. This presentation will describe the integration of these tests into LHCbPR as well as describing the structure and new features developed for the frontend web service.

Availability note (English)

Available from https://www.epj-conferences.org/articles/epjconf/pdf/2019/19/epjconf_chep2018_05042.pdf; https://doaj.org/article/e78c6c89058e4b1c8c15a6a23f1287be

Additional details

Publishing Information

Journal Title
EPJ. Web of Conferences
Journal Volume
214
Journal Page Range
vp.
ISSN
2100-014X

Conference

Title
23. International Conference on Computing in High Energy and Nuclear Physics
Acronym
CHEP 2018
Dates
9-13 Jul 2018
Place
Sofia (Bulgaria)

INIS

Country of Publication
France
Country of Input or Organization
France
INIS RN
53095826
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING;
Resource subtype / Literary indicator
Conference
Descriptors DEI
COMPUTER CODES; METRICS; OPTIMIZATION; PERFORMANCE; TESTING