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Adoption incrémentale des tests dans Visual Studio ALM. Du test exploratoire au pilotage par l'analyse d'impact : Découvrez comment MTM peut soutenir de façon progressive votre effort de test. Que vous soyez Développeur et que vous ayez envie de participer à l'effort de test ; Que vous soyez Analyste métier et que vous souhaitiez capitaliser sur vos critères d'acceptances ; Que vous soyez Testeur et que vous souhaitez mettre de l'ordre dans votre patrimoine de test ; Que vous soyez responsable de l'usine logicielle et que vous souhaitiez capitaliser sur votre plateforme préférée ; Que vous soyez manager et que vous souhaitez améliorer votre visibilité sur les tests ; Ou que vous ayez simplement envie d'en apprendre plus sur les tests avec la plateforme Visual Studio ALM : cette présentation est faites pour vous ! Animé par @gregory_ott

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Présentation faite à ScrumDay Paris en 2011 Les développeurs, les responsables qualité, les ScrumMasters, les ProductOwners ou les responsables des développements ont de plus en plus besoin d’intégrer leurs outils. Ceci s’inscrit dans une démarche Lean visant à donner un accès facile et immédiat à toute l’information, à éliminer les gaspillages et à détecter les problèmes le plus tôt possible dans le cycle de développement. Alors que certaines plateformes, comme celle de Microsoft, sont déjà intégrées, beaucoup de systèmes sont construits sur mesure par les équipes de développement. Nous pouvons imaginer, par exemple, une plateforme intégrant Eclipse, Code Collaborator, Perforce, Hudson, Sonar, Jira, Project Server et Crystal Reports, solution intégrant des outils Open Source et propriétaires. Cette session présentera différentes solutions ALM et la façon dont elles supportent une démarche agile. Pour mettre l’accent sur l’intégration entre les différents outils nous détaillerons une solution basée sur Mylyn, l’ALM Open Source pour Eclipse, s’intégrant à Microsoft TFS. Quelques fonctionnalités sympathiques comme la gestion très facile du backlog, le calcul automatique du burndown chart ou la gestion des revues de code seront également présentées.

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La Gestion du Cycle de vie des Applications (ALM pour Application Lifecycle Management) est la gestion coordonnée du cycle de développement d'une application logicielle de son idée initiale à sa livraison et sa maintenance. Elle implique tous les acteurs participant de près ou de loin au projet tout en appliquant les processus propres à l'entreprise. Durant ce séminaire vous apprendrez : - Ce qu’est une solution ALM (Application Lifecycle Management) - Quels sont les bénéfices de la mise en place d’une solution ALM - Quelles sont les grandes différences entre les solutions du marché - Quel est l’intérêt de choisir une solution ALM open-source encore plus pour ce type d’outil ? Si vos objectifs sont : - Accélérer votre innovation, - Contrôler vos développements logiciels et améliorer leur qualité, - Suivre en temps réel l'avancement de vos projets, - Favoriser les méthodes agiles et de qualité, - Réduire votre TCO, - Tout en conservant votre indépendance et votre liberté, ..... alors ce séminaire est pour vous.

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La gestion du cycle de vie et des informations produit dans lʼindustrie agroalimentaire est toujours plus complexe. Prenez lʼexemple dʼune pizza Margherita surgelée. Les informations produit concernent notamment les valeurs nutritionnelles et allergènes, les informations d’étiquetage, logistiques et tarifaires de tous les ingrédients et la recette. Certains éléments, comme le prix des ingrédients, peuvent changer avec le temps, et il faut alors calculer les impacts sur le produit fini. Tous ces éléments sont généralement gérés dans des feuilles de calcul, ce qui prend beaucoup trop de temps. Vif, fournisseur de solutions logicielles et de services spécialisé dans l’industrie agro-alimentaire, a développé une solution basée sur la Plateforme Nuxeo et consituée de deux modules qui reposent sur la même base documentaire : Product Information Management et Product Lifecycle Management. Si les clients peuvent nʼutiliser quʼun seul module, ils choisissent généralement dʼassocier les deux modules : PLIM. VIF PIM est un référentiel produit qui offre un accès centralisé à des données à jour et validées par tous les départements de l'entreprise.VIF PLM permet de tracer toutes les étapes de la conception dʼun nouveau produit, avec des fonctionnalités pour gérer les formules, les simulations de coûts, les calculs des valeurs nutritionnelles, la gestion des allergènes et la liste des ingrédients dʼune recette. Rejoignez-nous pour ce webinaire pendant lequel Christophe Mahé, responsable produit chez Vif, présentera leur utilisation de la Plateforme Nuxeo comme socle de leur application orientée contenu.

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In the realm of real-time applications, Large Language Models (LLMs) have long dominated language-centric tasks, while tools like OpenCV have excelled in the visual domain. However, the future (maybe) lies in the fusion of LLMs and deep learning, giving birth to the revolutionary concept of Large Action Models (LAMs). Imagine a world where AI not only comprehends language but mimics human actions on technology interfaces. For example, the Rabbit r1 device presented at CES 2024, driven by an AI operating system and LAM, brings this vision to life. It executes complex commands, leveraging GUIs with unprecedented ease. In this presentation, join me on a journey as a software engineer tinkering with WebRTC, Janus, and LLM/LAMs. Together, we’ll evaluate the current state of these AI technologies, unraveling the potential they hold for shaping the future of real-time applications.

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Foundation models are machine learning models which are easily capable of performing variable tasks on large and huge datasets. FMs have managed to get a lot of attention due to this feature of handling large datasets. It can do text generation, video editing to protein folding and robotics. In case we believe that FMs can help the hospitals and patients in any way, we need to perform some important evaluations, tests to test these assumptions. In this review, we take a walk through Fms and their evaluation regimes assumed clinical value. To clarify on this topic, we reviewed no less than 80 clinical FMs built from the EMR data. We added all the models trained on structured and unstructured data. We are referring to this combination of structured and unstructured EMR data or clinical data.

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