Abstract

A common phenomenon in software development is that as a system is being built and incremented with new features, certain quality aspects of the system begin to deteriorate. Therefore, it is important to be able to accurately analyze and determine the quality implications of each change and increment to a system. To address this topic, the multinational SmartDelta project develops automated solutions for quality assessment of product deltas in a continuous engineering environment. The project will provide smart analytics from development artifacts and system executions, offering insights into quality degradation or improvements across different product versions, and providing recommendations for next builds.

Index Terms

Research project, ITEA, EUREKA, software product lines, software variants, continuous system engineering, software quality

 

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Mehrdad Saadatmand
RISE Research Institutes of Sweden
Västerås, Sweden

Eduard Paul Enoiu
Mälardalen University
Västerås, Sweden

Holger Schlingloff
Fraunhofer FOKUS
Berlin, Germany

Michael Felderer
University of Innsbruck
Innsbruck, Austria

Wasif Afzal
Eduard Paul Enoiu
Mälardalen University
Västerås, Sweden