39 citations · 56 across the 5 of their papers we have counts for
5 papers
Detection of Performance Changes in MooBench Results Using Nyrkiö on GitHub Actions
Shinhyung Yang, David Georg Reichelt, Henrik Ingo +1
In GitHub with its 518 million hosted projects, performance changes within these projects are highly relevant to the project's users. Although performance measurement is supported…
8 Years of Optimizing Apache Otava: How disconnected open source developers took an algorithm from n3 to constant time
Henrik Ingo
As the project now known as Apache Otava (incubating) makes it first release, we look back over the past 8 years that the codebase was developed by a rather uncoordinated, loosely…
Hunter: Using Change Point Detection to Hunt for Performance Regressions
Matt Fleming, Piotr Kołaczkowski, Ishita Kumar +4
Change point detection has recently gained popularity as a method of detecting performance changes in software due to its ability to cope with noisy data. In this paper we present…
Automated System Performance Testing at MongoDB
Henrik Ingo, David Daly
Distributed Systems Infrastructure (DSI) is MongoDB's framework for running fully automated system performance tests in our Continuous Integration (CI) environment. To run in CI it…
Change Point Detection in Software Performance Testing
David Daly, William Brown, Henrik Ingo +2
We describe our process for automatic detection of performance changes for a software product in the presence of noise. A large collection of tests run periodically as changes to o…