From Complexity Measurement to Holistic Quality Evaluation for Automotive Software Development
This addresses software quality management for automotive developers, but it appears incremental as it builds on existing complexity metrics with a more adaptable approach.
The paper tackles the problem of static software quality measurement in automotive development by proposing a flexible framework that derives measures and evaluation rules based on project goals and context, though no concrete results or numbers are provided.
In recent years, the role and the importance of software in the automotive domain have changed dramatically. Being able to systematically evaluate and manage software quality is becoming even more crucial. In practice, however, we still find a largely static approach for measuring software quality based on a predefined list of complexity metrics with static thresholds to fulfill. We propose using a more flexible framework instead, which systematically derives measures and evaluation rules based on the goals and context of a development project.