{"id":1091,"date":"2022-04-27T20:14:48","date_gmt":"2022-04-27T18:14:48","guid":{"rendered":"https:\/\/www.uni.lu\/snt-fr\/events\/phd-defence-next-generation-mutation-testing-continuous-predictive-and-ml-enabled\/"},"modified":"2022-04-27T20:14:48","modified_gmt":"2022-04-27T18:14:48","slug":"phd-defence-next-generation-mutation-testing-continuous-predictive-and-ml-enabled","status":"publish","type":"events","link":"https:\/\/www.uni.lu\/snt-fr\/events\/phd-defence-next-generation-mutation-testing-continuous-predictive-and-ml-enabled\/","title":{"rendered":"PhD Defence: Next Generation Mutation Testing: continuous, predictive and ML-enabled"},"content":{"rendered":"<section class=\"wp-block-unilux-blocks-free-section section\"><div class=\"container xl:max-w-screen-xl\"><p>We&rsquo;re happy to welcome you to the PhD Defence of <strong>Wei Ma<\/strong> (SerVal group) on 17 May 2022 at 15:30.<\/p><p>The event will take place digitally on WebEx. Click <a href=\"https:\/\/unilu.webex.com\/unilu\/onstage\/g.php?MTID=e7a486417bfed5cdce2d276c8a736ae27\" target=\"_self\" title=\"\" rel=\"noopener\">here<\/a> to join.<\/p><p><strong>Members<\/strong><strong>\u00a0of the\u00a0defense\u00a0committee:<\/strong><\/p><ul class=\"ulux-list\"><li class=\"ulux-list-item\">Prof. Dr Yves LE TRAON, University\u00a0of Luxembourg, Chairman<\/li><li class=\"ulux-list-item\">Dr Ezekiel SOREMEKUN, University\u00a0of Luxembourg,\u00a0Deputy\u00a0Chairman<\/li><li class=\"ulux-list-item\">Prof. Dr Michail PAPADAKIS, University\u00a0of Luxembourg,\u00a0Supervisor<\/li><li class=\"ulux-list-item\">Prof. Dr Paolo TONELLA, Universit\u00e0\u00a0della\u00a0Svizzera\u00a0Italiana\u00a0(USI), Member<\/li><li class=\"ulux-list-item\">Prof. Dr Zhang LINGMING, University\u00a0of Illinois at Urbana-Champaign, Member<\/li><li class=\"ulux-list-item\">Dr Thierry TITCHEU CHEKAM, SES Satellites, Expert\u00a0with\u00a0advisory\u00a0capacity<\/li><\/ul><p><strong>Abstract<\/strong>:<\/p><p>Software has been an essential part of\u00a0human\u00a0life, and\u00a0it\u00a0substantially\u00a0improves\u00a0production and\u00a0enriches\u00a0our\u00a0life.\u00a0However, the\u00a0flaws\u00a0in the software can lead to\u00a0tragedies, e.g. the\u00a0failure\u00a0of the Mariner 1\u00a0Spacecraft\u00a0in\u00a01962. The issue\u00a0gets\u00a0even\u00a0more\u00a0severe,\u00a0since\u00a0the\u00a0complexity\u00a0of software\u00a0systems\u00a0grows\u00a0larger\u00a0than\u00a0before\u00a0and\u00a0ArtificialIntelligence\u00a0models\u00a0are\u00a0integrated\u00a0into\u00a0the software (e.g., Tesla\u00a0Deaths\u00a0Report). The software\u00a0systems\u00a0evolve\u00a0and\u00a0frequently\u00a0change due to the new\u00a0requirements, and the outputs of the\u00a0artificial\u00a0intelligence\u00a0models\u00a0are non-deterministic. Due to\u00a0these\u00a0reasons,\u00a0testing\u00a0such\u00a0modern\u00a0artificial\u00a0software\u00a0systems\u00a0is\u00a0challenging.\u00a0We\u00a0have\u00a0witnessed\u00a0many\u00a0new\u00a0testing\u00a0techniques\u00a0emerge\u00a0to\u00a0guarantee\u00a0the\u00a0trustworthiness\u00a0of\u00a0artificial\u00a0software\u00a0systems.\u00a0Coverage-based\u00a0Software\u00a0Testing\u00a0is\u00a0one\u00a0early\u00a0technique to test\u00a0Deep\u00a0Learning(DL)\u00a0systems\u00a0by\u00a0analyzing\u00a0the\u00a0neuron\u00a0values\u00a0statistically, e.g.,\u00a0Neuron\u00a0Coverage(NC).<\/p><p>In\u00a0recent\u00a0years, Mutation\u00a0Testing\u00a0has\u00a0drawn\u00a0much\u00a0attention.\u00a0Coverage\u00a0testing\u00a0metrics\u00a0can\u00a0easily\u00a0be\u00a0fooled\u00a0by\u00a0generating\u00a0tests to\u00a0satisfy\u00a0test\u00a0coverage\u00a0requirements,\u00a0although\u00a0these\u00a0test cases\u00a0may\u00a0be\u00a0meaningless. On the\u00a0contrary, Mutation\u00a0Testing\u00a0is\u00a0a\u00a0robust\u00a0approach\u00a0to\u00a0approximating\u00a0the\u00a0quality\u00a0of a test suite. It has been\u00a0generalizedto test software\u00a0systems\u00a0integrated\u00a0with\u00a0DL\u00a0systems, e.g., image classification\u00a0systems\u00a0and\u00a0autonomous\u00a0drivingsystems. Mutation\u00a0Testing\u00a0is\u00a0one technique\u00a0based\u00a0on\u00a0detecting\u00a0the\u00a0artificial\u00a0defects\u00a0from\u00a0many\u00a0crafted\u00a0code perturbations (i.e., mutant) to\u00a0assess\u00a0and\u00a0improve\u00a0the\u00a0quality\u00a0of a test suite. The\u00a0behaviour\u00a0of a mutant\u00a0is\u00a0likely\u00a0to\u00a0be\u00a0located\u00a0on the border\u00a0between\u00a0correctness\u00a0and non-correctness\u00a0since\u00a0the code perturbation\u00a0is\u00a0usually\u00a0tiny.\u00a0Through\u00a0Mutation\u00a0Testing, the border\u00a0behaviour\u00a0of the\u00a0subject\u00a0under\u00a0testing\u00a0can\u00a0be\u00a0explored\u00a0well,\u00a0which\u00a0leads to the high\u00a0quality\u00a0of the program.\u00a0However, the application of Mutation\u00a0Testing\u00a0encounters\u00a0some\u00a0obstacles, e.g., one main challenge\u00a0is\u00a0that\u00a0Mutation\u00a0Testing\u00a0is\u00a0resource-intensive. Large\u00a0resource-consuming\u00a0makes\u00a0it\u00a0unskilled\u00a0in modern software\u00a0development\u00a0because\u00a0the code\u00a0frequently\u00a0evolves\u00a0every\u00a0day. This dissertation\u00a0studies\u00a0how toapply\u00a0Mutation\u00a0Testing\u00a0in\u00a0Artificial\u00a0Intelligence Computation,\u00a0exploring\u00a0and\u00a0exploiting\u00a0the usages and innovations of Mutation\u00a0Testing\u00a0encountering\u00a0AI\u00a0algorithms, i.e., how to\u00a0employ\u00a0Mutation\u00a0Testing\u00a0for modern software\u00a0systemsunder\u00a0test.\u00a0<\/p><p>First,\u00a0this\u00a0dissertation\u00a0adapts\u00a0Mutation\u00a0Testing\u00a0to the modern software\u00a0development,\u00a0Continuous\u00a0Integration. Mostdevelopment\u00a0teams\u00a0currently\u00a0employ\u00a0Continuous\u00a0Integration(CI) as the pipeline\u00a0where\u00a0changes\u00a0happen\u00a0frequently. It\u00a0is\u00a0problematic\u00a0to\u00a0adopt\u00a0Mutation\u00a0Testing\u00a0in\u00a0Continuous\u00a0Integration\u00a0because\u00a0of\u00a0its\u00a0expensive\u00a0cost. At the\u00a0sametime,\u00a0traditional\u00a0Mutation\u00a0Testing\u00a0is\u00a0not a good test\u00a0metric\u00a0for the code changes as\u00a0it\u00a0is\u00a0designed\u00a0for the\u00a0wholeprogram.\u00a0We\u00a0adapt\u00a0Mutation\u00a0Testing\u00a0to test\u00a0these\u00a0program changes by\u00a0proposing\u00a0commit-relevant mutants. This type of mutant affects the\u00a0changed\u00a0program\u00a0behaviours\u00a0and\u00a0represents\u00a0the commit-relevant test\u00a0requirements.\u00a0Weuse the\u00a0projects\u00a0from\u00a0C and Java to\u00a0validate\u00a0our\u00a0proposal. The\u00a0experiment\u00a0results\u00a0indicate\u00a0that\u00a0commit-relevant mutants can\u00a0effectively\u00a0test the code changes.<\/p><p>Second,\u00a0based\u00a0on the\u00a0previous\u00a0work,\u00a0we\u00a0introduce\u00a0MuDelta, an AI\u00a0approach\u00a0that\u00a0identifies commit-relevant mutants, i.e.,\u00a0specific\u00a0mutants\u00a0that\u00a0interact\u00a0with\u00a0the program code change.\u00a0MuDelta\u00a0leverages\u00a0a\u00a0combined\u00a0schemeof\u00a0static\u00a0code\u00a0characteristics\u00a0as the data\u00a0feature. Our\u00a0experiment\u00a0shows\u00a0that\u00a0commit-based\u00a0mutation\u00a0testing\u00a0issuitable\u00a0and\u00a0promising\u00a0for\u00a0evolving\u00a0software\u00a0systems.\u00a0MuDelta\u00a0uses\u00a0manually-designed\u00a0features\u00a0that\u00a0require\u00a0expertknowledge.<\/p><p>Third, the dissertation proposes a new\u00a0approach\u00a0GraphCode2Vec to\u00a0learn\u00a0the\u00a0general\u00a0code\u00a0representation.\u00a0Recentworks\u00a0utilize\u00a0natural\u00a0language\u00a0models\u00a0to\u00a0embed\u00a0the code\u00a0into\u00a0the\u00a0vector\u00a0representation. Code\u00a0embedding\u00a0is\u00a0a\u00a0keystone\u00a0in the application of machine\u00a0learning\u00a0on\u00a0several\u00a0Software Engineering (SE)\u00a0tasks.\u00a0Its\u00a0target\u00a0is\u00a0to\u00a0extractuniversal\u00a0features\u00a0automatically. GraphCode2Vec\u00a0considers\u00a0program\u00a0syntax\u00a0and\u00a0semantics\u00a0simultaneously\u00a0by a combination of code\u00a0analysis\u00a0and Graph Neural Networks(GNN).\u00a0We\u00a0evaluate\u00a0our\u00a0approach\u00a0in the mutation\u00a0testingtask\u00a0and the\u00a0other\u00a0three\u00a0tasks\u00a0(method\u00a0name\u00a0prediction, solution classification, and\u00a0overfitted\u00a0patch classification). GraphCode2Vec\u00a0is\u00a0better\u00a0or comparable to the state-of-the-art code\u00a0embedding\u00a0models.\u00a0We\u00a0also\u00a0perform\u00a0the ablation\u00a0study\u00a0and\u00a0probing\u00a0analysis\u00a0to\u00a0give\u00a0insights\u00a0into\u00a0GraphCode2Vec.<\/p><p>Finally, the dissertation\u00a0studies\u00a0Mutation\u00a0Testing\u00a0to select test data for the\u00a0deep\u00a0learning\u00a0systems.\u00a0Since\u00a0DeepLearning\u00a0systems\u00a0play\u00a0an essential\u00a0role\u00a0in the\u00a0different\u00a0fields, the\u00a0safety\u00a0of DL\u00a0systems\u00a0takes\u00a0centre stage.\u00a0Such\u00a0AI\u00a0systems\u00a0are\u00a0much\u00a0different\u00a0from\u00a0traditional\u00a0software\u00a0systems, and the\u00a0existed\u00a0testing\u00a0techniques are not\u00a0supportive\u00a0of\u00a0guaranteeing\u00a0the\u00a0reliability\u00a0of the\u00a0deep\u00a0learning\u00a0systems. It\u00a0is\u00a0well-known\u00a0that\u00a0DL\u00a0systems\u00a0usuallyrequire\u00a0extensive data for\u00a0learning. It\u00a0is\u00a0significant\u00a0to select data for training and\u00a0testing\u00a0DL\u00a0systems. There are\u00a0several\u00a0measurement\u00a0metrics\u00a0to guide\u00a0choosing\u00a0data to test DL\u00a0systems.\u00a0We\u00a0compare a set of test\u00a0selectionmetrics\u00a0for DL\u00a0systems. It shows\u00a0that\u00a0uncertainty-based\u00a0metrics\u00a0are\u00a0competent\u00a0to\u00a0identify\u00a0misclassified\u00a0data.\u00a0Thesemetrics\u00a0also\u00a0improve\u00a0classification\u00a0accuracy\u00a0faster\u00a0when\u00a0retraining\u00a0DL\u00a0systems.<\/p><p>In\u00a0summary,\u00a0this\u00a0dissertation shows the usage of Mutation\u00a0Testing\u00a0in the\u00a0era\u00a0of\u00a0Computational\u00a0ArtificialIntelligence. Mutation\u00a0Testing\u00a0is\u00a0an excellent technique to test\u00a0traditional\u00a0software and\u00a0artificial\u00a0software\u00a0systems,\u00a0while\u00a0AI\u00a0algorithms\u00a0alleviate\u00a0the main\u00a0difficulties\u00a0of Mutation\u00a0Testing\u00a0in practice by\u00a0reducing\u00a0the\u00a0resource\u00a0cost.<\/p><\/div><\/section>","protected":false},"excerpt":{"rendered":"<p>We&rsquo;re happy to welcome you to the PhD Defence of Wei Ma (SerVal group) on 17 May 2022 at 15:30.The event will take place digitally on WebEx. Click here to join.<\/p>\n","protected":false},"author":0,"featured_media":1092,"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":"2022-05-17 15:30:00","event_end_date":"2022-05-17 17:30:00","event_speaker_name":"Wei Ma (SerVal group)","event_speaker_link":"","event_is_online":false,"event_location":"","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 Defence: Next Generation Mutation Testing: continuous, predictive and ML-enabled - 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-defence-next-generation-mutation-testing-continuous-predictive-and-ml-enabled\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"PhD Defence: Next Generation Mutation Testing: continuous, predictive and ML-enabled\" \/>\n<meta property=\"og:description\" content=\"We&#039;re happy to welcome you to the PhD Defence of Wei Ma (SerVal group) on 17 May 2022 at 15:30.The event will take place digitally on WebEx. Click here to join.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.uni.lu\/snt-fr\/events\/phd-defence-next-generation-mutation-testing-continuous-predictive-and-ml-enabled\/\" \/>\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=\"5 minutes\" \/>\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-defence-next-generation-mutation-testing-continuous-predictive-and-ml-enabled\/\",\"url\":\"https:\/\/www.uni.lu\/snt-fr\/events\/phd-defence-next-generation-mutation-testing-continuous-predictive-and-ml-enabled\/\",\"name\":\"PhD Defence: Next Generation Mutation Testing: continuous, predictive and ML-enabled - SnT - Universit\u00e9 du Luxembourg I Uni.lu\",\"isPartOf\":{\"@id\":\"https:\/\/www.uni.lu\/snt-fr\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.uni.lu\/snt-fr\/events\/phd-defence-next-generation-mutation-testing-continuous-predictive-and-ml-enabled\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.uni.lu\/snt-fr\/events\/phd-defence-next-generation-mutation-testing-continuous-predictive-and-ml-enabled\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/13\/2022\/04\/phd_defence_next_generation_mutation_testing_continuous_predictive_and_ml_enabled.jpg\",\"datePublished\":\"2022-04-27T18:14:48+00:00\",\"dateModified\":\"2022-04-27T18:14:48+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/www.uni.lu\/snt-fr\/events\/phd-defence-next-generation-mutation-testing-continuous-predictive-and-ml-enabled\/#breadcrumb\"},\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.uni.lu\/snt-fr\/events\/phd-defence-next-generation-mutation-testing-continuous-predictive-and-ml-enabled\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\/\/www.uni.lu\/snt-fr\/events\/phd-defence-next-generation-mutation-testing-continuous-predictive-and-ml-enabled\/#primaryimage\",\"url\":\"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/13\/2022\/04\/phd_defence_next_generation_mutation_testing_continuous_predictive_and_ml_enabled.jpg\",\"contentUrl\":\"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/13\/2022\/04\/phd_defence_next_generation_mutation_testing_continuous_predictive_and_ml_enabled.jpg\",\"width\":800,\"height\":600},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.uni.lu\/snt-fr\/events\/phd-defence-next-generation-mutation-testing-continuous-predictive-and-ml-enabled\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.uni.lu\/fr\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Interdisciplinary Centre for Security, Reliability and Trust (SnT)\",\"item\":\"https:\/\/www.uni.lu\/snt-fr\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Events\",\"item\":\"https:\/\/www.uni.lu\/snt-fr\/events\/\"},{\"@type\":\"ListItem\",\"position\":4,\"name\":\"PhD Defence: Next Generation Mutation Testing: continuous, predictive and ML-enabled\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.uni.lu\/snt-fr\/#website\",\"url\":\"https:\/\/www.uni.lu\/snt-fr\/\",\"name\":\"SnT\",\"description\":\"Interdisciplinary Centre for Security, Reliability and Trust I Uni.lu\",\"publisher\":{\"@id\":\"https:\/\/www.uni.lu\/snt-fr\/#organization\"},\"alternateName\":\"Interdisciplinary Centre for Security, Reliability and Trust I Universit\u00e9 du Luxembourg\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.uni.lu\/snt-fr\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"fr-FR\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.uni.lu\/snt-fr\/#organization\",\"name\":\"SnT - Universit\u00e9 du Luxembourg I Uni.lu\",\"alternateName\":\"Interdisciplinary Centre for Security, Reliability and Trust\",\"url\":\"https:\/\/www.uni.lu\/snt-fr\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\/\/www.uni.lu\/snt-fr\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/13\/2026\/03\/03112647\/SNT_SM-Profile_1600x1600px-scaled.jpg\",\"contentUrl\":\"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/13\/2026\/03\/03112647\/SNT_SM-Profile_1600x1600px-scaled.jpg\",\"width\":2560,\"height\":2560,\"caption\":\"SnT - Universit\u00e9 du Luxembourg I Uni.lu\"},\"image\":{\"@id\":\"https:\/\/www.uni.lu\/snt-fr\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.linkedin.com\/school\/snt-lu\/\"]}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"PhD Defence: Next Generation Mutation Testing: continuous, predictive and ML-enabled - SnT - Universit\u00e9 du Luxembourg I Uni.lu","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.uni.lu\/snt-fr\/events\/phd-defence-next-generation-mutation-testing-continuous-predictive-and-ml-enabled\/","og_locale":"fr_FR","og_type":"article","og_title":"PhD Defence: Next Generation Mutation Testing: continuous, predictive and ML-enabled","og_description":"We're happy to welcome you to the PhD Defence of Wei Ma (SerVal group) on 17 May 2022 at 15:30.The event will take place digitally on WebEx. Click here to join.","og_url":"https:\/\/www.uni.lu\/snt-fr\/events\/phd-defence-next-generation-mutation-testing-continuous-predictive-and-ml-enabled\/","og_site_name":"SnT FR","og_image":[{"width":2560,"height":2560,"url":"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/13\/2026\/03\/03112647\/SNT_SM-Profile_1600x1600px-scaled.jpg","type":"image\/jpeg"}],"twitter_card":"summary_large_image","twitter_misc":{"Dur\u00e9e de lecture estim\u00e9e":"5 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.uni.lu\/snt-fr\/events\/phd-defence-next-generation-mutation-testing-continuous-predictive-and-ml-enabled\/","url":"https:\/\/www.uni.lu\/snt-fr\/events\/phd-defence-next-generation-mutation-testing-continuous-predictive-and-ml-enabled\/","name":"PhD Defence: Next Generation Mutation Testing: continuous, predictive and ML-enabled - SnT - Universit\u00e9 du Luxembourg I Uni.lu","isPartOf":{"@id":"https:\/\/www.uni.lu\/snt-fr\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.uni.lu\/snt-fr\/events\/phd-defence-next-generation-mutation-testing-continuous-predictive-and-ml-enabled\/#primaryimage"},"image":{"@id":"https:\/\/www.uni.lu\/snt-fr\/events\/phd-defence-next-generation-mutation-testing-continuous-predictive-and-ml-enabled\/#primaryimage"},"thumbnailUrl":"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/13\/2022\/04\/phd_defence_next_generation_mutation_testing_continuous_predictive_and_ml_enabled.jpg","datePublished":"2022-04-27T18:14:48+00:00","dateModified":"2022-04-27T18:14:48+00:00","breadcrumb":{"@id":"https:\/\/www.uni.lu\/snt-fr\/events\/phd-defence-next-generation-mutation-testing-continuous-predictive-and-ml-enabled\/#breadcrumb"},"inLanguage":"fr-FR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.uni.lu\/snt-fr\/events\/phd-defence-next-generation-mutation-testing-continuous-predictive-and-ml-enabled\/"]}]},{"@type":"ImageObject","inLanguage":"fr-FR","@id":"https:\/\/www.uni.lu\/snt-fr\/events\/phd-defence-next-generation-mutation-testing-continuous-predictive-and-ml-enabled\/#primaryimage","url":"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/13\/2022\/04\/phd_defence_next_generation_mutation_testing_continuous_predictive_and_ml_enabled.jpg","contentUrl":"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/13\/2022\/04\/phd_defence_next_generation_mutation_testing_continuous_predictive_and_ml_enabled.jpg","width":800,"height":600},{"@type":"BreadcrumbList","@id":"https:\/\/www.uni.lu\/snt-fr\/events\/phd-defence-next-generation-mutation-testing-continuous-predictive-and-ml-enabled\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.uni.lu\/fr"},{"@type":"ListItem","position":2,"name":"Interdisciplinary Centre for Security, Reliability and Trust (SnT)","item":"https:\/\/www.uni.lu\/snt-fr\/"},{"@type":"ListItem","position":3,"name":"Events","item":"https:\/\/www.uni.lu\/snt-fr\/events\/"},{"@type":"ListItem","position":4,"name":"PhD Defence: Next Generation Mutation Testing: continuous, predictive and ML-enabled"}]},{"@type":"WebSite","@id":"https:\/\/www.uni.lu\/snt-fr\/#website","url":"https:\/\/www.uni.lu\/snt-fr\/","name":"SnT","description":"Interdisciplinary Centre for Security, Reliability and Trust I Uni.lu","publisher":{"@id":"https:\/\/www.uni.lu\/snt-fr\/#organization"},"alternateName":"Interdisciplinary Centre for Security, Reliability and Trust I Universit\u00e9 du Luxembourg","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.uni.lu\/snt-fr\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"fr-FR"},{"@type":"Organization","@id":"https:\/\/www.uni.lu\/snt-fr\/#organization","name":"SnT - Universit\u00e9 du Luxembourg I Uni.lu","alternateName":"Interdisciplinary Centre for Security, Reliability and Trust","url":"https:\/\/www.uni.lu\/snt-fr\/","logo":{"@type":"ImageObject","inLanguage":"fr-FR","@id":"https:\/\/www.uni.lu\/snt-fr\/#\/schema\/logo\/image\/","url":"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/13\/2026\/03\/03112647\/SNT_SM-Profile_1600x1600px-scaled.jpg","contentUrl":"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/13\/2026\/03\/03112647\/SNT_SM-Profile_1600x1600px-scaled.jpg","width":2560,"height":2560,"caption":"SnT - Universit\u00e9 du Luxembourg I Uni.lu"},"image":{"@id":"https:\/\/www.uni.lu\/snt-fr\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.linkedin.com\/school\/snt-lu\/"]}]}},"_links":{"self":[{"href":"https:\/\/www.uni.lu\/snt-fr\/wp-json\/wp\/v2\/events\/1091"}],"collection":[{"href":"https:\/\/www.uni.lu\/snt-fr\/wp-json\/wp\/v2\/events"}],"about":[{"href":"https:\/\/www.uni.lu\/snt-fr\/wp-json\/wp\/v2\/types\/events"}],"replies":[{"embeddable":true,"href":"https:\/\/www.uni.lu\/snt-fr\/wp-json\/wp\/v2\/comments?post=1091"}],"version-history":[{"count":0,"href":"https:\/\/www.uni.lu\/snt-fr\/wp-json\/wp\/v2\/events\/1091\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.uni.lu\/snt-fr\/wp-json\/wp\/v2\/media\/1092"}],"wp:attachment":[{"href":"https:\/\/www.uni.lu\/snt-fr\/wp-json\/wp\/v2\/media?parent=1091"}],"wp:term":[{"taxonomy":"events-topic","embeddable":true,"href":"https:\/\/www.uni.lu\/snt-fr\/wp-json\/wp\/v2\/events-topic?post=1091"},{"taxonomy":"events-type","embeddable":true,"href":"https:\/\/www.uni.lu\/snt-fr\/wp-json\/wp\/v2\/events-type?post=1091"},{"taxonomy":"organisation","embeddable":true,"href":"https:\/\/www.uni.lu\/snt-fr\/wp-json\/wp\/v2\/organisation?post=1091"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}