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software development

Enhancing Functional Testing Efficiency in Industrial Large-Scale Applications: Pertinent Test Selection

Introduction In modern software development, application reliability relies on effective testing strategies. Altough unit and integration tests secure internal consistency, functional testing remains essential for validating user-facing behaviors. For large-scale applications like Alpha Tool, running thousands of functional tests is challenging: it consumes vast resources, slows down delivery, and complicates analysis. This article explores the challenge of large-scale functional testing in Alpha Tool and shows how selecting only needed test

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Automatic Detection of Anomalies in systems behaviors

Nowadays, industrial systems maintenance uses the principle of Digital Twin to predict future issues. Sensors placed on the different parts of the system emit a signal that characterize its behavior. The study of these time signals in real time allow us to detect unusual behaviors preceding a breakdown. However, the sensors signals can be unreliable

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🇫🇷 Detection d’erreurs par Intelligence Artificielle dans les fiches de paie

Démonstration: L’Intelligence Artificielle au service de la Paie Le module présenté dans cette démonstration permet de détecter des anomalies liées aux fiches de paie et cela grâce à un modèle d’apprentissage automatique (Machine Learning).Un échantillon d’une base existante peut être chargé par défaut. La possibilité de charger une nouvelle base depuis un fichier CSV est

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BL.SenseLife: Healthy Ageing Co-Design and Management Platform

Healthy ageing is “the process of developing and maintaining the functional ability that enables well-being in older age” (WHO, 2015). Frailty is a clinical and a social syndrome relative to ageing. In medical context, frailty characterizes an intermediate state between robust health and the loss of autonomy. It points the beginning of the decline in

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The legal impact of digitalisation of administration on public services

The digital transformation does not only concern the private sector, even though it’s frequently described as more innovative. From computerisation of public administration in the 60’ to the latest applications of artificial intelligence by territorial authorities, public action seems more and more digitalised (and still “in digitalisation”). Therefore, this public action in practice resulting in

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🇫🇷 L’IA au service des collectivités locales

https://www.research-bl.com/wp-content/uploads/2019/08/frigg-1-online-video-cutter.com_.mp4 En France, les collectivités se différencient selon plusieurs caractéristiques telles que les budgets qu’elles utilisent au cours d’une année, les investissements qu’elles opèrent et enfin les dettes qu’elles contractent. Le but étant d’apporter une aide aux collectivités locales en développant un modèle capable d’apporter une aide à la prise de décision en leur permettant

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🇫🇷 Hermès Démo

CONTEXTE Les documents des marchés publics manifestent une hétérogénéité importante et des similarités trompeuses. Autrement dit, ces documents contiennent généralement des informations typiques comme le nom de l’organisme public, son code SIRET, sa géolocalisation, des dates, les critères et les modalités de choix des candidats, etc. Toutefois, ces informations sont généralement présentées sans aucun format

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Blockchain for interoperability

Interoperability is the possibility for different systems to communicate with each other without depending on a particular actor. It is based on the use of an open standard Context The sharing of data between information systems (IS) becomes essential to ensure communication between these IS. This exchange has consequences of compatibility (because of heterogeneous data

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Automatic Reconstruction of Sanitation Network

Underground networks are a direct consequence of urbanization. These networks are daily used to offer all the vital services : electricity, Internet, water, etc. However, the available data related to them in particular sanitation ones are various, and come in different types (texts, images, GIS etc.) and formats (analog, digital). In addition, these multisource/multi-format data are

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Analysis of user activity (traces) in software

The software for public services are always more complex as the regulation evolves constantly and the user requirement continues to refine. Thus, the quality of the software declines, making it more difficult to maintain and use. For example, some anomalies occurring in the production environment cannot be reproduced and therefore cannot be resolved. From the

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Berger-Levrault strengthens its ties with AI startups!

We are proud to announce that we have joined Hub France IA, the largest association dedicated to artificial intelligence in France. This network now brings together more than 250 members—companies, startups, research laboratories, and institutions—who share the same goal: to accelerate the development and adoption of AI in France and Europe. Getting closer to the

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Celebrating New PhDs from the BL.Research Team!

At Berger-Levrault, research is more than a mission—it’s a shared adventure. As the new academic year begins, we are proud to celebrate the success of four of our colleagues from the BL.Research team, who have reached a major milestone in their scientific journeys: the defense of their doctoral theses. These achievements are the result of

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Hamza Safri Ph.D. thesis defense: “Federated learning for the IoT : Application for Industry 4.0”

Thuesday 24th June at 3pm Paris time, Hamza Safri, Ph.D. Candidate has defended his thesis named “Federated learning for the IoT: Application for Industry 4.0”. His thesis defense took place at the Inria Minatec Grenoble, Grenoble, France. Take a look at the summary below. Keywords: Model generalization, predictive maintenance, industrial IoT, federated learning, edge network,

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ESUG 2025: Six contributions and 2 prizes for the Software Engineering Lab team!

Congratulations to our PhDs Nicolas Hlad, Aless Hosry, Benoit Verhaeghe and Pascal Zaragoza from Berger-Levrault’s BL.Research team for their participation in the 2025 edition of the ESUG (European Smalltalk User Group) conference! This year’s conference took place from July 1-4 in Gdansk, Poland. The theme was innovation in Smalltalk technologies and their use in software

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Julien Breton Ph.D. thesis defense: “Extraction and formalization of regulatory industrial maintenance knowledge from semi-structured corpus data”

Friday, 27th June at 1.30 pm Paris time, Julien Breton, Ph.D. Candidate has defended his thesis named “Extraction and formalization of regulatory industrial maintenance knowledge from semi-structured corpus data”. His thesis defense took place at the IRIT research laboratory, Toulouse, France. Take a look at the summary below. Keywords: Legal compliance,Industrial maintenance, Norm extraction,LLM (Large

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New White Paper – AI for maintenance! Challenges, Opportunities and Case Studies

How is artificial intelligence transforming maintenance practices today? What are the concrete opportunities for equipment, infrastructure and fleet managers? The new white paper published by CARL Berger-Levrault offers a rich and accessible insight into these strategic questions. Entitled “AI at the service of maintenance: challenges, opportunities and case studies”, this document summarizes experience in the

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New White Paper – Agentic AI, a Software and Societal Revolution!

Research at Berger-Levrault is tackling a new frontier in artificial intelligence: that of (partially) autonomous agents capable of reasoning, planning, collaborating, orchestrating and learning in complex business environments. Our new white paper, “Beyond automation – How agentic AI is transforming the software industry”, shares with you an in-depth analysis of this ongoing technological revolution, its

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