Spain

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.

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

ASIS vs. Libadalang: a comparative assessment

2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics.

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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.
The platform will also provide a virtual space through Gather.Town to facilitate social interaction among participants, which, in addition to presenting state of the art research results, is one of the most important goals of a conference. This platform will hold various social events together with breaks and a poster session. 

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**
 // AEiC 2021 Program Co-Chairs

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Middleware is an integral part of critical software, middleware provides core services for data exchange and manipulation, job execution, and scheduling. Their correctness is central to the correct execution of the software. They must be carefully configured to meet all functional and non-functional requirements. From a set of valid configuration parameters, one then has to demonstrate the implementation is correct and can fulfill its mission. Model-based techniques provide the foundations for correct-by-construction engineering. Most notably, they can be used to model a system, assess its configuration is correct, and then generate the corresponding middleware instance. The SAE AADL language supports the modeling of safety-critical systems and covers its design, configuration, and analysis. In this paper, we present several contributions: the definition of a model of computation aligned with the Ada Ravenscar profile supported by an architectural model expressed using the AADL; derivations rules from AADL constructs to middleware services using Ada 2012 and SPARK2014, and the proof of correctness of the implementation. Our contribution illustrates how one can prove the absence of runtime errors in middleware configured from high-level descriptions. This effort illustrates the positive effect models, programming languages and associated toolsets have on developing high-assurance middleware.

A correct-by-construction AADL runtime, proof of a safety-critical middleware using SPARK/Ada

Neither the current nor the next ISO/IEC standard of the Ada programming language does support memory model aware programming on language level. Instead one may employ compiler intrinsics for writing memory model aware software. This results in programs that are less comprehensible than what generally is expected from Ada programs. To remedy this facts we have implemented a precompiler, called AdaMM, which allows a programmer to use the language additions introduced in previous papers and produces Ada code equipped with GCC compiler intrinsics. Studying examples, we compare input and output of AdaMM on the basis of several static software engineering metrics. In addition, we give arguments why memory model aware programming should be supported on higher language level.

A precompiler for memory model aware programming on higher language level

This presentation is an update to the work entiteld "Ada in non-Ada Systems" that I presented at the 2018 A-E confrence in Lisbon

More Ada in non-Ada systems

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.

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ASIS vs. Libadalang: a comparative assessment

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A correct-by-construction AADL runtime, proof of a safety-critical middleware using SPARK/Ada

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