From Complexity Measurement to Holistic Quality Evaluation for Automotive Software Development

TL;DR

This paper advocates for a flexible, goal-oriented framework for evaluating automotive software quality, moving beyond static complexity metrics to better suit project-specific needs.

Contribution

It introduces a novel approach that systematically derives measures and evaluation rules based on project goals and context, enhancing quality assessment.

Findings

Proposes a flexible, goal-driven evaluation framework

Addresses limitations of static complexity metrics

Enhances adaptability in automotive software quality management

Abstract

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.