GOD JUL & GOTT NYTT ÅR
Addalot önskar alla kunder, leverantörer och samarbetspartners en riktigt god jul och gott nytt år!
AUTOMOTIVE SPICE 4.0 EXPLAINED
A new version of Automotive SPICE has recently been released. Some parts have been removed, some new have been introduced, this summary will explain the main changes.
Fulfilling the Requirements of the EU Cyber Resilience Act
Manufacturers and importers that provide products with digital elements in the EU market will have to comply with the Cyber Resilience Act. This article contains some general practical advice on the implementation of these requirements.
SYSTEM & SOFTWARE SAFETY 2024
We would like to invite you to the 12th Scandinavian Conference on System and Software Safety. The conference will take place in Göteborg, November 20, and is arranged in collaboration between Addalot, KTH, ICES and Swedish Electromobility Centre.
Q-Labs Founder Sadly Passed Away
Geir Fagerhus, founder of the pioneering SW process & quality consultancy company Q-Labs has sadly passed away after illness. Our thoughts and sincere condolences lay with his family.
Dags för något nytt?
Brinner du för förbättring? Addalot är ett nischat kunskapsföretag som hjälper systemutvecklande bolag att förbättra sin utvecklingsförmåga.
SAFE® and Agile Values
If you implement SAFE in your organization, will your organization become agile? This article tries to unfold this topic by exploring SAFE from the perspective of the agile principles.
System & Software Safety 2022
We would like to invite you to the 10th Scandinavian Conference on System and Software Safety. The conference will take place in Göteborg, November 22-23, and is arranged in collaboration between Addalot, KTH, ICES and SAFER
Cyber Security Training for Professionals
PROMIS is a joint project between Blekinge Institute of Technology (BTH) and several leading Swedish industrial companies and organizations. The goal is to supply customized, free courses in Information Security for professional engineers and software developers in the industry.
Systems Engineering for Machine Learning
Machine Learning development has until now been a fairly experimental endeavour. By applying Systems Engineering practices, for example by defining its development lifecycle, it can be brought closer to traditional engineering disciplines.
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