Everything has to get faster and terms like “Continuous Everything” and “Shift Left” receive a lot of attention.
These trends are also followed in regulated environments like healthcare but are these approaches beneficial? Do they bring any value or is it more costly than helpful to introduce them? Is there any ROI? Is it measurable?
To answer these questions, we will show some approaches applied at Siemens Healthineers and how they influenced the release cycles and quality of the software.
Target Audience: Architects, Developers, Manager, Testers, Project Leader
Prerequisites: Basic Software Development Practices and Methods, Agile Methodologies
Level: Advanced
Extended Abstract:
Nowadays, everything has to get faster, as evidenced by the attention that buzz-words like “Continuous Everything”, “Shift Left” and similar receive.
These trends are also followed in heavily regulated environments like healthcare, even though these domains tend to stick to what they do for decades.
But are these approaches beneficial at all, especially in big organizations with several hundred developers? Do they bring any value or is it more costly than helpful to introduce them? Is there any ROI? Is it measurable? Or is it possibly better to stick with the established processes for development and testing, and focus on being agile?
To answer these questions, we will demonstrate some approaches that the Syngo business line of Siemens Healthineers implemented in the past few years and how they influenced the release cycles and quality of the delivered software. This will show if the juice is now better than before. We will also give a short overview of future “squeezes” that are being implemented at the moment.
Marco Achtziger is a Test Architect working for Siemens Healthcare GmbH in Forchheim. He has several qualifications from iSTQB and iSQI and is a certified Software Architect by Siemens AG.
Gregor Endler holds a doctor's degree in Computer Science for his thesis on completeness estimation of timestamped data. His work at Codemanufaktur GmbH deals with Machine Learning and Data Analysis.