BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//pretalx.coscup.org//coscup-2023//speaker//9VAVKF
BEGIN:VTIMEZONE
TZID:CST
BEGIN:STANDARD
DTSTART:20000101T000000
RRULE:FREQ=YEARLY;BYMONTH=1
TZNAME:CST
TZOFFSETFROM:+0800
TZOFFSETTO:+0800
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-coscup-2023-AB7PV7@pretalx.coscup.org
DTSTART;TZID=CST:20230729T105000
DTEND;TZID=CST:20230729T112000
DESCRIPTION:Flutter 是一個由 Google 開發的跨平台應用程式開
 發框架，讓開發者可以使用一套程式碼開發 iOS、Android、
 Web 和桌面應用程式。SonarQube 是著名開源程式碼檢測工具
 。隨著應用程式規模的不斷擴大，程式碼品質和安全性
 的重要性也日益凸顯，程式碼靜態掃描是安全程式開發
 工作第一步．本演講將介紹如何使用SonarQube來進行Flutter
 程式的靜態程式分析，以確保程式品質和可維護性。我
 們將深入探討SonarQube的工作原理以及如何配置SonarQube來
 掃描Flutter程式。此外，我們還會講解SonarQube如何提供即
 時反饋，並生成報告和指示，幫助開發團隊識別和解決
 潛在的程式問題。\n\nFlutter is a cross-platform application develo
 pment framework developed by Google\, allowing developers to use a single 
 codebase to develop applications for iOS\, Android\, Web\, and desktop. So
 narQube is a well-known open-source code analysis tool. As the scale of ap
 plications continues to expand\, the importance of code quality and securi
 ty becomes increasingly prominent\, and static code scanning is the first 
 step in secure software development. This talk will introduce how to use S
 onarQube for static code analysis of Flutter applications to ensure code q
 uality and maintainability. We will delve into the working principles of S
 onarQube and how to configure it for scanning Flutter code. Additionally\,
  we will discuss how SonarQube provides real-time feedback and generates r
 eports and guidelines to help development teams identify and address poten
 tial code issues.
DTSTAMP:20260913T044238Z
LOCATION:TR 312
SUMMARY:Flutter 不再黑箱之Dart語言源碼檢測分享 - Noflag\, Fngi
URL:https://pretalx.coscup.org/coscup-2023/talk/AB7PV7/
END:VEVENT
BEGIN:VEVENT
UID:pretalx-coscup-2023-AVZGSH@pretalx.coscup.org
DTSTART;TZID=CST:20230730T150000
DTEND;TZID=CST:20230730T153000
DESCRIPTION:《英雄聯盟》的大型賽事吸引了眾多觀眾，但小
 型比賽的曝光度較低。為了提高小型比賽的知名度，提
 出了「LAIC- League AI Commentator」系統，使用人工智慧技術
 濃縮比賽內容成摘要，讓觀眾在短時間內了解比賽的重
 點和轉折。系統包含用戶介面、資訊擷取、生成式人工
 智慧和語音合成四大部分，各自負責互動、資訊收集、
 分析和回答生成。團隊計劃將系統與比賽畫面結合，提
 升觀眾觀看體驗，增加小型比賽的曝光和關注。\nThe large
 -scale tournaments of League of Legends have attracted a lot of viewers\, 
 but smaller competitions have lower exposure. To increase the visibility o
 f these smaller events\, the "LAIC - League AI Commentator" system has bee
 n proposed. It utilizes artificial intelligence technology to condense the
  content of the matches into summaries\, allowing viewers to quickly under
 stand the key moments and turning points. The system consists of four main
  components: user interface\, information retrieval\, generative AI\, and 
 voice synthesis. Each component is responsible for interaction\, data gath
 ering\, analysis\, and generating responses respectively. The team plans t
 o integrate the system with the game footage to enhance the viewing experi
 ence for the audience and increase exposure and attention for the smaller 
 competitions.
DTSTAMP:20260913T044238Z
LOCATION:TR 615
SUMMARY:英雄聯盟AI評論員 - Noflag\, 陳建廷\, 哈斯\, 邱子瑋
URL:https://pretalx.coscup.org/coscup-2023/talk/AVZGSH/
END:VEVENT
END:VCALENDAR
