Heisenbug 2019 Piter is a large technical conference that takes place in St. Petersburg, Russia, on May 17-18, 2019.
Heisenbug conference brings together more than 500 professionals in the field of quality assurance. These professionals are testers, programmers developing tests for their code, engineers in automated and load testing, and team leads willing to improve testing efficiency in their projects. All speakers talk about the most important, practical and hardcore things on software testing:
-Load testing, performance testing, benchmarking;
-Testing of distributed systems;
-Testing of mobile applications;
-UX, Security, A/B testing;
-Code analysis and its tools;
-Tools and testing environment;
-Test frameworks best practices;
-Testing of compilers, nuclear power plants, and so on.
Our focus is on technological aspect of testing. We guarantee that there’s no Agile, Scrum and team management stuff.
Welcome! How are you? If you read this, it means you think on submitting your talk. That is great!
Click here if you have any doubts: https://heisenbug-piter.ru/en/callforpapers/
We consider talk applications according to the following guidelines:
The topic’s relevance: you are going to discuss things that participants of the conference find useful not only yesterday but today and in the future. In addition, the topic of your talk corresponds to the theme of the conference, and the talk’s content matches the stated topic.
Your talk dives deep into the details of the stated topic: there is no need to talk about yet another Hello World (unless you think it’s a new, not widely known, but very promising technology).
Originality — there is technical novelty in your talk; the content of your talk either hasn’t been published before or presents a well-known topic / problem in a different light.
Practical applicability — the talk is important from practical point of view, you not only cover the existing problems / solutions, but also share your experience.
Speaker’s expertise and publicity.
We are interested in talks related to the following topics:
-tools (JMeter, Gatling, wrk2, Yandex.Tank, …);
-experiments planning approaches (verification of stability, fault tolerance, capacity, queue processing, …);
-approaches to the results’ analysis;
DevOps in testing: