Testing plays a central role in agile software development. We usually have unit testing and test automation under control. System testing, and in particular regression testing is often methodologically more difficult. Recently more and more test manager approach me and
Dear friends and family, we are gathered today to witness and celebrate the union of MBSE-Methodology and IT-Operations in marriage. For years they have been eying each other and playing hard-to-get. But finally they both realized that they go hand-in-hand like the ocean and beach.
In this blogpost we outline why we are convinced that MethOps is essential for effective and efficient system engineering.
Liebe Freunde und Freundinnen, liebe Partner*innen von Qualicen, es ist soweit: die zweite Ausgabe unseres Snapshots - die erste im Jahr 2021 - ist fertig. Wir sind im Dezember 2020 mit diesem neuen Format gestartet und möchten uns zuerst noch einmal ganz
It is not rare that projects approach us not as a consultant firm but more like a medical first-aid station. In those cases, the patient represents a software or engineering project that is hanging on by a bare thread. So
One of the great things about Model-Based Systems Engineering (MBSE) is that the system model enables us to run all kinds of analyses, for example regarding the consistency, or compliance with company guidelines, to create reports and perform simulations. Often
Liebe Freund*innen und Partner*nnen von Qualicen, Langsam schaffen wir es nicht mehr uns mit allen Kontakten regelmäßig persönlich auszutauschen. Und manche/r scheut vielleicht die Hürde uns einfach mal auf die neuesten Entwicklungen anzusprechen. Und auch nicht jede/r hat die Zeit unseren Updates
Managing the complexity of cyber-physical systems is a real challenge. Adding reuse and hundreds of product variants doesn't help either. Model-Based Systems Engineering (MBSE) helps you to get a grip on your system. I have been involved in several
Anomaly Detection Anomaly Detection refers to the problem of finding anomalies in (usually) large datasets. Often, we are dealing with time-dependent or at least sequential data, originating, for example, from logs of a software or sensor values of a machine or
We observe that numerous cyber-physical systems are rapidly gaining functionality and thus development gets more and more complex. Innovations are made possible in many areas by a complex interaction of sensor systems and software. Consider the development of autonomous driving, in which a multitude of different system functions must interact safely with one another in order to make complex decisions with the highest quality in order to transport people safely. In order to master the complexity, the classical, document-centered approaches of system engineering are no longer sufficient and are increasingly being replaced by model-based systems engineering (MBSE) approaches. The SPES modeling framework provides a comprehensive, tool- and modeling language-independent method for MBSE. It offers a whole range of concrete models, modeling techniques and activities. In this blog post, I will introduce you gently to SPES. I will explain the basic principles of SPES and give some pointers where to find more.