Markus Harrer
Markus Harrer is a software engineer who’s passionate about improving the way we do software development. He specializes in the analysis of software data such as source code, application performance data or version control repositories to show the underlying problems of the symptoms we face on the surface. He is an active contributor in communities on the topics of Software Analytics, software architecture, software modernization and Java. He is also an accredited trainer for the iSAQB Foundation Level and the Advanced Level Module IMPROVE.
I'm teaching at...
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Improving Software Quality through Data with Markus Harrer
Led by Markus Harrer
Join Markus Harrer and learn how to use data to your advantage — analyze software systems and surrounding processes as well as teams to uncover weaknesses in your development and operation.
datascience analytics katas pandas data quality jupyter python -
Evolution and Improvement of Software Architectures with Markus Harrer
Led by Markus Harrer
Want to analyse existing software architecture, identify solution approaches, and implement improvements? This three day workshop teaches you everything you need to know to get started.
risk-assessment scenario-based-evaluation metric-based-evaluation legacy technical-debt architecture improvement evolution software-architecture
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Evolution and Improvement of Software Architectures with Markus Harrer
Led by Markus Harrer
Want to analyse existing software architecture, identify solution approaches, and implement improvements? This three day workshop teaches you everything you need to know to get started.
risk-assessment scenario-based-evaluation metric-based-evaluation legacy technical-debt architecture improvement evolution software-architecture -
Improving Software Quality through Data with Markus Harrer
Led by Markus Harrer
Join Markus Harrer and learn how to use data to your advantage — analyze software systems and surrounding processes as well as teams to uncover weaknesses in your development and operation.
datascience analytics katas pandas data quality jupyter python