{"id":183,"date":"2022-10-25T23:34:46","date_gmt":"2022-10-25T23:34:46","guid":{"rendered":"https:\/\/v2testsite3.hua.gr\/?page_id=183"},"modified":"2026-03-31T16:19:44","modified_gmt":"2026-03-31T16:19:44","slug":"call-for-papers","status":"publish","type":"page","link":"https:\/\/cisose.fit.ac.jp\/aitest\/index.php\/call-for-papers\/","title":{"rendered":"Call for Papers"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"183\" class=\"elementor elementor-183\">\n\t\t\t\t<div class=\"elementor-element elementor-element-67c4118 e-flex e-con-boxed e-con e-parent\" data-id=\"67c4118\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-adadbf4 elementor-widget elementor-widget-heading\" data-id=\"adadbf4\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><span>Important Dates<\/span><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cf48f20 elementor-widget elementor-widget-text-editor\" data-id=\"cf48f20\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p class=\"cvGsUA direction-ltr align-justify para-style-body\" style=\"color: rgba(0,0,0,var(--o42jjq,1)); caret-color: #000000; --8sd0kg: none; font-family: YAFcfhdOoGk_0, _fb_, auto; --cyv3zq: 16.0001px; --gjplxq: 1.4; --s8nbea: p; line-height: 22px;\"><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\" style=\"color: rgba(0,0,0,var(--o42jjq,1)); --ys-xuq: none; font-weight: bold; font-kerning: none;\">Main Papers (Updated):<\/span><\/p><ul><li><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\" style=\"color: #000000; caret-color: #000000; --ys-xuq: none; font-kerning: none;\">April 15th, 2026 Submission deadline<\/span><\/li><li><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\" style=\"color: #000000; caret-color: #000000; --ys-xuq: none; font-kerning: none;\">May 25th, 2026 Author\u2019s notification<\/span><\/li><li><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\" style=\"color: #000000; caret-color: #000000; --ys-xuq: none; font-kerning: none;\">June 15th, 2026 Camera-ready and author\u2019s registration<\/span><\/li><li>July 27th to July 30th 2026, Conference dates<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f3e709b e-flex e-con-boxed e-con e-parent\" data-id=\"f3e709b\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-92044e3 elementor-widget elementor-widget-heading\" data-id=\"92044e3\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Topics of Interest<\/h2>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3916a80 e-grid e-con-full e-con e-parent\" data-id=\"3916a80\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6f68677 elementor-widget elementor-widget-text-editor\" data-id=\"6f68677\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"color: rgba(0,0,0,var(--o42jjq,1)); caret-color: #000000; --8sd0kg: none; font-family: YAFcfhdOoGk_0, _fb_, auto; --cyv3zq: 16.0001px; --gjplxq: 1.4; --s8nbea: p; line-height: 22px;\"><span style=\"color: rgba(0,0,0,var(--o42jjq,1)); --ys-xuq: none; font-weight: bold; font-kerning: none;\">Testing &amp; Verification of AI Systems:<\/span><\/p>\n<ul>\n<li><span style=\"color: rgba(0,0,0,var(--o42jjq,1)); caret-color: #000000; --ys-xuq: none; font-kerning: none;\">Verification &amp; Validation Methodologies &amp; Frameworks<\/span><\/li>\n<li><span style=\"color: rgba(0,0,0,var(--o42jjq,1)); caret-color: #000000; --ys-xuq: none; font-kerning: none;\">Test Oracles &amp; Adequacy Metrics<\/span><\/li>\n<li><span style=\"color: rgba(0,0,0,var(--o42jjq,1)); caret-color: #000000; --ys-xuq: none; font-kerning: none;\">Deep Learning &amp; Reinforcement Learning Testing<\/span><\/li>\n<li><span style=\"color: rgba(0,0,0,var(--o42jjq,1)); caret-color: #000000; --ys-xuq: none; font-kerning: none;\">Adversarial Robustness &amp; Safety Assurance<\/span><\/li>\n<li><span style=\"color: rgba(0,0,0,var(--o42jjq,1)); caret-color: #000000; --ys-xuq: none; font-kerning: none;\">Tools &amp; Resources for Automated Testing of AI<\/span><\/li>\n<\/ul>\n<div>\n<div>\u00a0<\/div>\n<\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4e00494 elementor-widget elementor-widget-text-editor\" data-id=\"4e00494\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p class=\"cvGsUA direction-ltr align-justify para-style-body\" style=\"color: #000000; caret-color: #000000; --8sd0kg: none; font-family: YAFcfhdOoGk_0, _fb_, auto; --cyv3zq: 16.0001px; --gjplxq: 1.4; --s8nbea: p; line-height: 22px;\"><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\" style=\"--ys-xuq: none; font-weight: bold; font-kerning: none;\">AI-Driven Software Testing (AI4Test):<\/span><\/p>\n<ul>\n<li><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\" style=\"color: #000000; caret-color: #000000; --ys-xuq: none; font-kerning: none;\">Autonomous Test Orchestration<\/span><\/li>\n<li><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\" style=\"color: #000000; caret-color: #000000; --ys-xuq: none; font-kerning: none;\">Self-Healing &amp; Automated Maintenance<\/span><\/li>\n<li><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\" style=\"color: #000000; caret-color: #000000; --ys-xuq: none; font-kerning: none;\">Search-Based &amp; Optimized Testing<\/span><\/li>\n<li><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\" style=\"color: #000000; caret-color: #000000; --ys-xuq: none; font-kerning: none;\">Crowdsourced &amp; Swarm Intelligence<\/span><\/li>\n<li><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\" style=\"color: #000000; caret-color: #000000; --ys-xuq: none; font-kerning: none;\">Verification of AI-Generated Code<\/span><\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a0ee099 elementor-widget elementor-widget-text-editor\" data-id=\"a0ee099\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p class=\"cvGsUA direction-ltr align-justify para-style-body\" style=\"color: rgba(0,0,0,var(--o42jjq,1)); caret-color: #000000; --8sd0kg: none; font-family: YAFcfhdOoGk_0, _fb_, auto; --cyv3zq: 16.0001px; --gjplxq: 1.4; --s8nbea: p; line-height: 22px;\"><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\" style=\"color: rgba(0,0,0,var(--o42jjq,1)); --ys-xuq: none; font-weight: bold; font-kerning: none;\">Assurance of Agentic AI &amp; Large Models:<\/span><\/p>\n<ul>\n<li><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\" style=\"color: rgba(0,0,0,var(--o42jjq,1)); caret-color: #000000; --ys-xuq: none; font-kerning: none;\">Agentic Reliability &amp; Goal-Reasoning<\/span><\/li>\n<li><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\" style=\"color: rgba(0,0,0,var(--o42jjq,1)); caret-color: #000000; --ys-xuq: none; font-kerning: none;\">Multi-Agent Coordination &amp; Swarm Validation<\/span><\/li>\n<li><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\" style=\"color: rgba(0,0,0,var(--o42jjq,1)); caret-color: #000000; --ys-xuq: none; font-kerning: none;\">LLM Quality, Trust, Fairness, Bias, &amp; Ethics<\/span><\/li>\n<li><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\" style=\"color: rgba(0,0,0,var(--o42jjq,1)); caret-color: #000000; --ys-xuq: none; font-kerning: none;\">Multimodal &amp; Generative Model Evaluation<\/span><\/li>\n<li><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\" style=\"color: rgba(0,0,0,var(--o42jjq,1)); caret-color: #000000; --ys-xuq: none; font-kerning: none;\">Test of Large Models of Their Applications<\/span><\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-de57142 elementor-widget elementor-widget-text-editor\" data-id=\"de57142\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p class=\"cvGsUA direction-ltr align-justify para-style-body\" style=\"color: rgba(0,0,0,var(--o42jjq,1)); caret-color: #000000; --8sd0kg: none; font-family: YAFcfhdOoGk_0, _fb_, auto; --cyv3zq: 16.0001px; --gjplxq: 1.4; --s8nbea: p; line-height: 22px;\"><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\" style=\"color: rgba(0,0,0,var(--o42jjq,1)); --ys-xuq: none; font-weight: bold; font-kerning: none;\">Human-Machine Collaboration:<\/span><\/p>\n<ul>\n<li><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\" style=\"color: rgba(0,0,0,var(--o42jjq,1)); caret-color: #000000; --ys-xuq: none; font-kerning: none;\">Assurance of Human-AI Pair Programming<\/span><\/li>\n<li><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\" style=\"color: rgba(0,0,0,var(--o42jjq,1)); caret-color: #000000; --ys-xuq: none; font-kerning: none;\">Human-in-the-Loop (HITL) Verification<\/span><\/li>\n<li><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\" style=\"color: rgba(0,0,0,var(--o42jjq,1)); caret-color: #000000; --ys-xuq: none; font-kerning: none;\">Collaborative Debugging &amp; Interactive Testing<\/span><\/li>\n<li><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\" style=\"color: rgba(0,0,0,var(--o42jjq,1)); caret-color: #000000; --ys-xuq: none; font-kerning: none;\">Human-AI Interaction (HAI) Metrics for QA<\/span><\/li>\n<li><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\" style=\"color: rgba(0,0,0,var(--o42jjq,1)); caret-color: #000000; --ys-xuq: none; font-kerning: none;\">AI Impact on CS Education &amp; Assessment<\/span><\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d6f8002 elementor-widget elementor-widget-text-editor\" data-id=\"d6f8002\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p class=\"cvGsUA direction-ltr align-justify para-style-body\" style=\"color: rgba(0,0,0,var(--o42jjq,1)); caret-color: #000000; --8sd0kg: none; font-family: YAFcfhdOoGk_0, _fb_, auto; --cyv3zq: 16.0001px; --gjplxq: 1.4; --s8nbea: p; line-height: 22px;\"><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\" style=\"color: rgba(0,0,0,var(--o42jjq,1)); --ys-xuq: none; font-weight: bold; font-kerning: none;\">Data, Policy, &amp; Observability:<\/span><\/p>\n<ul>\n<li><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\" style=\"color: rgba(0,0,0,var(--o42jjq,1)); caret-color: #000000; --ys-xuq: none; font-kerning: none;\">Data Quality Validation &amp; Enhancement for AI<\/span><\/li>\n<li><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\" style=\"color: rgba(0,0,0,var(--o42jjq,1)); caret-color: #000000; --ys-xuq: none; font-kerning: none;\">Quality Assurance for Unstructured Training Data<\/span><\/li>\n<li><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\" style=\"color: rgba(0,0,0,var(--o42jjq,1)); caret-color: #000000; --ys-xuq: none; font-kerning: none;\">Synthetic Data Generation &amp; Validation<\/span><\/li>\n<li><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\" style=\"color: rgba(0,0,0,var(--o42jjq,1)); caret-color: #000000; --ys-xuq: none; font-kerning: none;\">Large-scale Unstructured Data Quality Certification<\/span><\/li>\n<li><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\" style=\"color: rgba(0,0,0,var(--o42jjq,1)); caret-color: #000000; --ys-xuq: none; font-kerning: none;\">AI &amp; Data Management Policies<\/span><\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5d3ac3b elementor-widget elementor-widget-text-editor\" data-id=\"5d3ac3b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p class=\"cvGsUA direction-ltr align-justify para-style-body\" style=\"color: rgba(0,0,0,var(--o42jjq,1)); caret-color: #000000; --8sd0kg: none; font-family: YAFcfhdOoGk_0, _fb_, auto; --cyv3zq: 16.0001px; --gjplxq: 1.4; --s8nbea: p; line-height: 22px;\"><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\" style=\"color: rgba(0,0,0,var(--o42jjq,1)); --ys-xuq: none; font-weight: bold; font-kerning: none;\">Domain-Specific &amp; Physical AI:<\/span><\/p>\n<ul>\n<li><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\" style=\"color: rgba(0,0,0,var(--o42jjq,1)); caret-color: #000000; --ys-xuq: none; font-kerning: none;\">Embodied AI: Robotics, Drones, Autonomous Vehicles<\/span><\/li>\n<li><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\" style=\"color: rgba(0,0,0,var(--o42jjq,1)); caret-color: #000000; --ys-xuq: none; font-kerning: none;\">Computer Vision &amp; NLP Quality Assurance<\/span><\/li>\n<li><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\" style=\"color: rgba(0,0,0,var(--o42jjq,1)); caret-color: #000000; --ys-xuq: none; font-kerning: none;\">Testing AI for Critical Domain Applications<\/span><\/li>\n<li><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\" style=\"color: rgba(0,0,0,var(--o42jjq,1)); caret-color: #000000; --ys-xuq: none; font-kerning: none;\">Cognitive Industry &amp; Smart Manufacturing<\/span><\/li>\n<li><span class=\"a_GcMg font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\" style=\"color: rgba(0,0,0,var(--o42jjq,1)); caret-color: #000000; --ys-xuq: none; font-kerning: none;\">Identity &amp; Security Verification<\/span><\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5c00db4 e-flex e-con-boxed e-con e-parent\" data-id=\"5c00db4\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1f1941f elementor-widget elementor-widget-heading\" data-id=\"1f1941f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Submission<\/h2>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5485627 e-flex e-con-boxed e-con e-parent\" data-id=\"5485627\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6bfa94e elementor-widget elementor-widget-text-editor\" data-id=\"6bfa94e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<h5><strong>Paper Submission<\/strong><\/h5><h6><strong>Regular papers (8 pages IEEE double column format) and short papers (4 pages IEEE double column format).<\/strong><\/h6><p>We welcome submissions of both regular research papers (limited to 8 pages), that describe original and significant work or report on case studies and empirical research, and short papers (limited to 4 pages) that describe late-breaking research results or work in progress with timely and innovative ideas.<\/p><h6><strong>AI Testing in Practice (8 pages IEEE double column format).<\/strong><\/h6><p>The AI Testing in Practice Track provides a forum for networking, exchanging ideas and innovative or experimental practices to address SE research that impacts directly on practice on software testing for AI.<\/p><h6><strong>Tool Demo Track (6 pages IEEE double column format).<\/strong><\/h6><p>The tool track provides a forum to present and demonstrate innovative tools and\/or new benchmarking datasets in the context of software testing for AI.<\/p><h5><strong>Submission Guideline<\/strong><\/h5><p>All papers must be written in English. Manuscripts must include a title, an abstract, and a list of 4-6 keywords. All papers must be prepared in the IEEE double column proceedings format. Please see: <a href=\"https:\/\/www.ieee.org\/conferences\/publishing\/templates.html\">https:\/\/www.ieee.org\/conferences\/publishing\/templates.html<\/a><\/p><p>IEEE AITest 2026 uses a double-blind review policy. Authors are required to remove their names, affiliation(s) and other identifying information from the header of the manuscript. Authors are required to cite their previous work in a neutral manner, for example, avoid \u201cin our previous work [3]\u201d and instead use \u201cas shown in [3]\u201d. Papers that do not meet these anonymization requirements may be desk-rejected without further review.<\/p><p>All submitted papers will be peer-reviewed. The name(s) of the author(s) will not be visible to the reviewers of a paper. Authors should report any conflict of interest with the list of PC members during submission of the manuscript, in which case the PC Chairs will exclude the corresponding PC member(s) from reviewing the paper. At least one of the authors of any accepted paper would have to register for the conference and confirm that she\/he will present the paper in person.<\/p><p>Authors must submit their manuscripts via the following link by <strong>April 15, 2026, 23:59 AoE at the latest<\/strong>: <a href=\"https:\/\/easychair.org\/conferences\/?conf=ieeeaitest2026\">https:\/\/easychair.org\/conferences\/?conf=ieeeaitest2026<\/a>.\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Important Dates Main Papers (Updated): April 15th, 2026 Submission deadline May 25th, 2026 Author\u2019s notification June 15th, 2026 Camera-ready and author\u2019s registration July 27th to July 30th 2026, Conference dates Topics of Interest Testing &amp; Verification of AI Systems: Verification &amp; Validation Methodologies &amp; Frameworks Test Oracles &amp; Adequacy Metrics Deep Learning &amp; Reinforcement Learning [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-183","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/cisose.fit.ac.jp\/aitest\/index.php\/wp-json\/wp\/v2\/pages\/183","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cisose.fit.ac.jp\/aitest\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/cisose.fit.ac.jp\/aitest\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/cisose.fit.ac.jp\/aitest\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/cisose.fit.ac.jp\/aitest\/index.php\/wp-json\/wp\/v2\/comments?post=183"}],"version-history":[{"count":18,"href":"https:\/\/cisose.fit.ac.jp\/aitest\/index.php\/wp-json\/wp\/v2\/pages\/183\/revisions"}],"predecessor-version":[{"id":1470,"href":"https:\/\/cisose.fit.ac.jp\/aitest\/index.php\/wp-json\/wp\/v2\/pages\/183\/revisions\/1470"}],"wp:attachment":[{"href":"https:\/\/cisose.fit.ac.jp\/aitest\/index.php\/wp-json\/wp\/v2\/media?parent=183"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}