{"id":827,"date":"2019-11-11T11:46:53","date_gmt":"2019-11-11T10:46:53","guid":{"rendered":"https:\/\/www.uni.lu\/snt-fr\/events\/phd-defense-towards-a-modelling-framework-with-temporal-and-uncertain-data-for-adaptive-systems\/"},"modified":"2019-11-11T11:46:53","modified_gmt":"2019-11-11T10:46:53","slug":"phd-defense-towards-a-modelling-framework-with-temporal-and-uncertain-data-for-adaptive-systems","status":"publish","type":"events","link":"https:\/\/www.uni.lu\/snt-fr\/events\/phd-defense-towards-a-modelling-framework-with-temporal-and-uncertain-data-for-adaptive-systems\/","title":{"rendered":"PhD Defense: Towards a Modelling Framework with Temporal and Uncertain Data for Adaptive Systems"},"content":{"rendered":"<section class=\"wp-block-unilux-blocks-free-section section\"><div class=\"container xl:max-w-screen-xl\"><p><strong>Members of the defense committee<\/strong>:<\/p><ul class=\"ulux-list\"><li class=\"ulux-list-item\">Prof. Dr Nicolas Navet, University of Luxembourg, Chairman<\/li><li class=\"ulux-list-item\">Prof. Dr Manuel Wimmer, JKU Linz, Vice-chairman<\/li><li class=\"ulux-list-item\">Prof. Dr Philippe Collet, University C\u00f4te d\u2019Azur, Member<\/li><li class=\"ulux-list-item\">A-Prof. Dr Ada Diaconescu, Telecom ParisTech, Expert<\/li><li class=\"ulux-list-item\">Prof. Dr Yves Le Traon, University of Luxembourg, Co-supervisor<\/li><li class=\"ulux-list-item\">Prof. Dr Olivier Barais, University of Rennes 1, Co-supervisor<\/li><li class=\"ulux-list-item\">Dr Johann Bourcier, University of Rennes 1, Advisor<\/li><li class=\"ulux-list-item\">Dr Fran\u00e7ois Fouquet, DataThings, Expert &#038; advisor<\/li><\/ul><p><strong>Abstract<\/strong>:<\/p><p>Self-Adaptive Systems (SAS) optimize their behaviors or configurations at runtime in response to a modification of their environments or their behaviors.\u00a0These systems, therefore, need a deep understanding of the ongoing situation which enables reasoning tasks for adaptation operations.\u00a0Using the model-driven engineering (MDE) methodology, one can abstract this situation.<\/p><p>However, information concerning the system is not always known with absolute confidence. Moreover, in such systems, the monitoring frequency may differ from the delay for reconfiguration actions to have measurable effects.<\/p><p>These characteristics come with a global challenge for software engineers: how to represent uncertain knowledge that can be efficiently queried and to represent ongoing actions in order to improve adaptation processes?<\/p><p>To tackle this challenge, this thesis defends the need for a unified modelling framework which includes, besides all traditional elements, temporal and uncertainty as first-class concepts.<\/p><p>Therefore, a developer will be able to abstract information related to the adaptation process, the environment as well as the system itself.\u00a0Towards this vision, we present two evaluated contributions: a temporal context model and a language for uncertain data.<\/p><p>The temporal context model allows abstracting past, ongoing and future actions with their impacts and context.\u00a0The language, named Ain\u2019tea, integrates data uncertainty as a first-class citizen.<\/p><\/div><\/section>","protected":false},"excerpt":{"rendered":"<p>Members of the defense committee:Prof. Dr Nicolas Navet, University of Luxembourg, ChairmanProf. Dr Manuel Wimmer, JKU Linz, Vice-chairmanProf. Dr Philippe Collet, University C\u00f4te d\u2019Azur, MemberA-Prof. Dr Ada Diaconescu, Telecom ParisTech, ExpertProf. Dr Yves Le Traon, University of Luxembourg, Co-supervisorProf. Dr Olivier Barais, University of Rennes 1, Co-supervisorDr Johann Bourcier, University of Rennes 1, AdvisorDr Fran\u00e7ois Fouquet, DataThings, Expert &amp; advisor<\/p>\n","protected":false},"author":0,"featured_media":828,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"featured_image_focal_point":[],"show_featured_caption":false,"ulux_newsletter_groups":"","uluxPostTitle":"","uluxPrePostTitle":"","_trash_the_other_posts":false,"_price":"","_stock":"","_tribe_ticket_header":"","_tribe_default_ticket_provider":"","_tribe_ticket_capacity":"0","_ticket_start_date":"","_ticket_end_date":"","_tribe_ticket_show_description":"","_tribe_ticket_show_not_going":false,"_tribe_ticket_use_global_stock":"","_tribe_ticket_global_stock_level":"","_global_stock_mode":"","_global_stock_cap":"","_tribe_rsvp_for_event":"","_tribe_ticket_going_count":"","_tribe_ticket_not_going_count":"","_tribe_tickets_list":"[]","_tribe_ticket_has_attendee_info_fields":false,"event_start_date":"2019-11-29 13:30:00","event_end_date":"2019-11-29 16:30:00","event_speaker_name":"Ludovic Mouline","event_speaker_link":"","event_is_online":false,"event_location":"Room E004\r\nJFK Building,\r\n29 Avenue J.F. Kennedy\r\nL-1855 Kirchberg","event_street":"","event_location_link":"","event_zip_code":"","event_city":"","event_country":"LU"},"events-topic":[],"events-type":[],"organisation":[183],"authorship":[],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.3 (Yoast SEO v22.3) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>PhD Defense: Towards a Modelling Framework with Temporal and Uncertain Data for Adaptive Systems - SnT - Universit\u00e9 du Luxembourg I Uni.lu<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.uni.lu\/snt-fr\/events\/phd-defense-towards-a-modelling-framework-with-temporal-and-uncertain-data-for-adaptive-systems\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"PhD Defense: Towards a Modelling Framework with Temporal and Uncertain Data for Adaptive Systems\" \/>\n<meta property=\"og:description\" content=\"Members of the defense committee:Prof. Dr Nicolas Navet, University of Luxembourg, ChairmanProf. Dr Manuel Wimmer, JKU Linz, Vice-chairmanProf. Dr Philippe Collet, University C\u00f4te d\u2019Azur, MemberA-Prof. Dr Ada Diaconescu, Telecom ParisTech, ExpertProf. Dr Yves Le Traon, University of Luxembourg, Co-supervisorProf. Dr Olivier Barais, University of Rennes 1, Co-supervisorDr Johann Bourcier, University of Rennes 1, AdvisorDr Fran\u00e7ois Fouquet, DataThings, Expert &amp; advisor\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.uni.lu\/snt-fr\/events\/phd-defense-towards-a-modelling-framework-with-temporal-and-uncertain-data-for-adaptive-systems\/\" \/>\n<meta property=\"og:site_name\" content=\"SnT FR\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/13\/2026\/03\/03112647\/SNT_SM-Profile_1600x1600px-scaled.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"2560\" \/>\n\t<meta property=\"og:image:height\" content=\"2560\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.uni.lu\/snt-fr\/events\/phd-defense-towards-a-modelling-framework-with-temporal-and-uncertain-data-for-adaptive-systems\/\",\"url\":\"https:\/\/www.uni.lu\/snt-fr\/events\/phd-defense-towards-a-modelling-framework-with-temporal-and-uncertain-data-for-adaptive-systems\/\",\"name\":\"PhD Defense: Towards a Modelling Framework with Temporal and Uncertain Data for Adaptive Systems - 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