ICST 2024
Mon 27 - Fri 31 May 2024 Canada
Mon 27 May 2024 11:00 - 11:30 at Room 4 - ITEQS II Chair(s): Mehrdad Saadatmand

Given the intricate composition and complex nature of modern software systems, it is necessary to ensure sufficient software quality throughout their entire life cycle. This paper highlights the development efforts made toward delivering an automated solution for software quality metric acquisition and the analysis of quality-related data for a real-world airfield operations software. The target software system, at the time of producing this paper, consists of over 110K lines of code, requires over 10K developer minutes to address quality issues, contains over 140 identified bugs, has approximately 50 security hotspots, and includes nearly 3K code smells. Considering the abundance of quality-related items uncovered by the solution being developed, the airfield software was presented as an exemplary case study. This paper introduces a novel dual-framework architecture for software quality assurance that specifically targets the airfield software system in focus. This unique approach combines data logging for metric acquisition and machine learning for predictive analysis. This helps address real-time operations, integration challenges, and security concerns in the target software. This paper highlights the tools and technologies selected, the architecture implementing the frameworks and processes used, and the results of preliminary experiments and analysis activities.

Mon 27 May

Displayed time zone: Eastern Time (US & Canada) change

11:00 - 12:30
ITEQS IIITEQS at Room 4
Chair(s): Mehrdad Saadatmand RISE Research Institutes of Sweden
11:00
30m
Full-paper
Automated SQA Framework with Predictive Machine Learning in Airfield Software
ITEQS
Ridwan Hossain , Akramul Azim Ontario Tech University, Linda Cato Team Eagle, Bruce Wilkins Team Eagle
11:30
30m
Full-paper
Early Detection with Explainability of Network Attacks Using Deep LearningBest Paper
ITEQS
Tanwir Ahmad Åbo Akademi University, Dragos Truscan Åbo Akademi University
12:00
30m
Full-paper
Testing cyber-physical systems with explicit output coverageBest Paper
ITEQS
Jarkko Peltomäki Åbo Akademi University, Jesper Winsten , Maxime Methais , Ivan Porres Åbo Akademi University