EUREKA ITEA SmartDelta: Automated Quality Assurance andOptimization in Incremental Industrial SoftwareSystems Development

Purpose and goal:

SmartDelta aims to build automated solutions for quality assessment of product deltas in a continuous engineering environment by providing smart analytics from software artifacts and system execution, offering insights into quality improvements or degradation of different product versions, and providing recommendations for next builds. The Swedish consortium coordinates the international project and contributes with expertise in building railway software systems, system and software engineering, machine learning, data analytics, and software testing.

Expected results and effects:

SmartDelta develops solutions for: i) verification and validation of quality characteristics in industrial-scale software intensive systems; ii) automating reuse analysis by machine learning techniques such as natural language processing (NLP) for processing of different development artifacts such as textual requirement specifications and test reports; iii) automated trend analysis and build recommendation with respect to quality characteristics using AI/ML for pattern recognition, optimization, and fault prediction techniques.

Approach and implementation:

To achieve the objectives of the project, a competent international consortium of industrial and research partners from 9 countries (including Canada) have been formed. The project work is structured into 7 workpackages: setting up industrial use-cases and demonstrators (WP1), model evolution solutions (WP2), delta-oriented quality assurance techniques (WP3), quality improvement recommendations (WP4), visualization dashboard (WP5), dissemination, exploitation, and training materials (WP6), and project management (WP7). WP3 and WP7 are led by the Swedish consortium.