On this site, there is only displayed the English speaking sessions of the OOP 2022 Digital. You can find all conference sessions, including the German speaking ones, here.
The times given in the conference program of OOP 2022 Digital correspond to Central European Time (CET).
By clicking on "EVENT MERKEN" within the lecture descriptions you can arrange your own schedule. You can view your schedule at any time using the icon in the upper right corner.
Track: Testing & Quality
- Artificial Intelligence Now!
- C++ and Programming of Embedded Systems
- DevOps & Automation Now!
- Diversity & Inclusion
- From Projects to Products/Services: Aligning Architecture and Organization for Sustainable Speed
- Full Day Tutorial
- Fusion: IT-Future-Society
- Half Day Tutorial
- Modern Software Architecture
- Product Development in Times of Digitalization
- Signature Track: The Time is Now!
- Social Integration
- Software Architecture Communication & Assessment
- Testing & Quality
- Trends & Techniques
- Use Domain-Driven Design Now!
- Artificial Intelligence
- Domain-Driven Design
- Product Development
- Programming Languages
- Requirements Engineering
- Soft Skills/Social Skills
- Software Engineering
- Talks with Limited Attendance
- Testing & Quality
- Virtual Reality
To continuously deliver IT systems at speed with a focus on business value, high-performance IT delivery teams integrate quality engineering in their way of working.
Quality engineering is the new concept in achieving the right quality of IT systems. Testing only after an IT product was developed is an outdated approach. Built-in quality from the start is needed to guarantee business value in today’s IT delivery models. Quality engineering is about changes in skills, organization, automation and quality measures.
Target Audience: All people involved in high-performance IT delivery teams
Prerequisites: General knowledge of IT delivery
To continuously deliver IT systems at speed with a focus on business value, high-performance cross-functional IT delivery teams integrate quality engineering in their way of working.
Quality engineering is the new concept in achieving the right quality of IT systems. Testing an application only after the digital product has been fully developed has long been a thing of the past. More is needed to guarantee the quality of applications that are delivered faster and more frequently in today’s high-performance IT delivery models. It is about achieving built-in quality. The road to quality engineering means changes in terms of starting points, skills, organization, automation and quality measures.
Our new VOICE model guides teams to align their activities with the business value that is pursued, and by measuring indicators, teams give the right information to stakeholders to establish their confidence that the IT delivery will actually result in business value for the customers.
Teams benefit from the clear definition of QA&Testing topics that are a useful grouping of all activities relevant to quality engineering. Organizing topics are relevant to align activities between teams and performing topics have a focus on the operational activities within a team.
Also, to be able to deliver quality at speed, for today’s teams it is crucial to benefit from automating activities, for example in a CI/CD pipeline, whereby people must remember that automation is not the goal but just a way to increase quality and speed.
In this presentation the audience will learn why a broad view on quality engineering is important and how quality engineering can be implemented to achieve the right quality of IT products, the IT delivery process and the people involved.
This presentation is based on our new book "Quality for DevOps teams" (ISBN 978-90-75414-89-9) which supports high-performance cross-functional teams in implementing quality in their DevOps culture, with practical examples, useful knowledge and some theoretical background.
Rik is a trainer for test design techniques for over 15 years.
In large software projects the assessment of the impact of a code change can be a cumbersome task. If the software has grown and shows an evolutionary design there are always unwanted side effects.
Change control boards are established. But on what data do they judge what can happen with the changes? Very often there is the HIPPO syndrome which means it is the highest paid person's opinion.
In this talk we will show you ways to come to a deterministic prediction of the impact, what data you need and what you can do with it.
Target Audience: Architects, Test Managers, Developers, Testers
Prerequisites: Basic knowledge of collected data in software projects