The value of software products can have many different manifestations that often go far beyond pure functionality. For one thing, it can be about purely monetary value, but it can also be about expanding the company’s reach, improving customer loyalty, displacing competitors, or generating other additional benefits for the company or the user. Cost and Value Engineering is a promising approach for addressing such a value-centered perspective without losing sight of expenses.
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We applied an artificial intelligence-based approach to train practicable models for a business environment that enables effective prediction of software faults based on code smells, number of code changes in a time period, number of authors involved and other metrics.
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The Architecture Knowledge Base (https://akb.se.jku.at/ ) supports software architecture knowledge sharing based on architecture profiles and decision models. A video illustrating knowledge sharing in the AKB is available at https://files.se.jku.at/f/4cdd3a64de104b349d75/ .
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A dashboard for microservice monitoring and management, which can be configured to stakeholder needs and which supports the integration of different backend systems.
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