Spain

Augmented Reality (AR) technologies are used as human-machine interface within various types of safety-critical systems. In order to avoid unreasonable risk, it is required to detect new types of dependability threats (faults, errors, failures). These dependability threats could be introduced within the systems by new technologies. Based on the context of ImmerSAFE project and due to spread of AR technologies we target AR. In our previous work, we have designed extensions for SafeConcert metamodel to capture AR-related dependability threats (focusing on faults and failures). The extensions provide modeling and analysis capabilities that can be used for modeling and analyzing \hl{different entities and their behaviors} in AR-equipped socio-technical systems. \hl{Despite provision of various modeling and analyzing techniques, there has been no detailed investigation of providing an integrated framework for risk assessment in AR-equipped socio-technical systems.} In this paper, we provide an integrated framework based on our proposed extensions. In addition, we design and execute a case study, with our industrial partners, active in the automotive domain. We aim at validating modeling and analysis capabilities of the framework and finding out if the proposed extensions would be helpful in capturing system risks caused by new AR-related dependability threats. We conduct qualitative analysis based on Concerto-FLA analysis technique, which is an analysis technique for socio-technical systems included in CHESS toolset.

AEiC 2021 - 25th Ada-Europe International Conference on Reliable Software Technologies

A case study for risk assessment in AR-equipped socio-technical systems

AAMAS is the largest and most influential conference in the area of agents and multiagent systems, bringing together researchers and practitioners in all areas of agent technology and providing and internationally renowned high-profile forum for publishing and finding out about the latest developments in the field. AAMAS is the flagship conference of the non-profit International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).  

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AAMAS 2021

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### Welcome Message from our Co-Chairs

Through this message, we want to give you our warmest welcome to the 25th Ada-Europe International Conference on Reliable Software Technologies (AEiC 2021). The special circumstances we all go through have made the conference a virtual event. Nonetheless, this will allow us to take advantage of the benefits of this format by using the Underline.io platform that allows remote participation of speakers and attendees and a virtual exhibition.
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The conference schedule includes a four-day program and exhibition from Monday to Thursday, with parallel tutorials on Monday, and keynotes, technical sessions and a Work-in-Progress session on the remaining three days. The technical sessions include the presentations of 13 journal-track papers, 5 industrial presentations and 6 invited talks on leading topics on reliable software technologies. The program will be completed with three outstanding keynotes that will delight the participants.

The main conference activities will be from 13:00 to 18:00 Central European Summer Time (CEST) to allow participants from America to Central Asia to attend to the conference sessions. Virtual social events are scheduled at the beginning and the end of each day. We encourage you to participate in these activities as well as visiting the exhibition. We look forward to meeting you virtually in June 2021!

**J. Javier Gutiérrez and Mario Aldea Rivas**
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PTC's vendor presentation presents an introduction to PTC as a whole and the PTC Ada Development Solutions and Real-time Java Solutions which are products from the PTC Developer Tools business unit. PTC's Ada Development Solutions come from two primary product families named PTC ApexAda and PTC ObjectAda. PTC's Real-time Java Solution product family is named PTC Perc.

PTC Ada and Real-Time Java Solutions

Spazio IT has been working on the Independent Software Verification and Validation of several codebases, some written in Ada, others in C/C++ and more recently also in Python; in all cases Spazio IT has used static analysis techniques and tools facilitating code inspection. Static analysis has always proven to be beneficial, but depending on the programming language, its advantages have emerged in different areas and namely: metrics and structural analysis for Ada, bugs finding at execution/semantic level for C/C++ and errors finding at compilation/syntactical level for Python. The paper presents first some general considerations on static analysis, then it concentrates on static analysis specifically applied to Ada, C/C++ and Python codebases. Finally, the paper describes Spazio IT future activities in the area of static analysis.

Static analysis for Ada, C/C++ and Python: different languages, different needs.

This paper compares the origins, features, and status of two different tools intended to facilitate static analysis of Ada programs: ASIS and LibAdalang. It stresses the differences in principles, features,and intended usages, and shows use cases where each is more appropriate.

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