SmartDelta: Automated Quality Assurance and Optimization in Incremental Industrial Software Systems Development

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 incremen...

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Vydáno v:Proceedings (Euromicro Conference on Digital Systems Design) s. 754 - 760
Hlavní autoři: Saadatmand, Mehrdad, Enoiu, Eduard Paul, Schlingloff, Holger, Felderer, Michael, Afzal, Wasif
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.08.2022
Témata:
continuous system engineering
Degradation
Digital systems
EUREKA
ITEA
Optimization
Quality assessment
Quality assurance
Research project
software product lines
software quality
Software systems
software variants
ISSN:2771-2508
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Shrnutí: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.
ISSN:2771-2508
DOI:10.1109/DSD57027.2022.00106