World of Bugs: A Platform for Automated Bug Detection in 3D Video Games

被引：2
|
作者：
Wilkins, Benedict [1 ]
Stathis, Kostas [1 ]
机构：
[1] Royal Holloway Univ London, Comp Sci, London, England
来源：
2022 IEEE CONFERENCE ON GAMES, COG | 2022年
关键词：
Video Games; Automated Testing; Automated Bug Detection (ABD); Machine Learning; ABD Platform;
D O I：
10.1109/CoG51982.2022.9893616
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
We present World of Bugs (WOB), an open platform that aims to support Automated Bug Detection (ABD) research in video games. We discuss some open problems in ABD and how they relate to the platform's design, arguing that learning-based solutions are required if further progress is to be made. The platform's key feature is a growing collection of common video game bugs that may be used for training and evaluating ABD approaches.
引用
收藏
页码：520 / 523
页数：4
相关论文
共 50 条
  • [41] A Survey on 3D Object Detection Methods for Autonomous Driving Applications
    Arnold, Eduardo
    Al-Jarrah, Omar Y.
    Dianati, Mehrdad
    Fallah, Saber
    Oxtoby, David
    Mouzakitis, Alex
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 20 (10) : 3782 - 3795
  • [42] Deep Learning-Based Computer-Aided Detection System for Automated Treatment Response Assessment of Brain Metastases on 3D MRI
    Cho, Jungheum
    Kim, Young Jae
    Sunwoo, Leonard
    Lee, Gi Pyo
    Nguyen, Toan Quang
    Cho, Se Jin
    Baik, Sung Hyun
    Bae, Yun Jung
    Choi, Byung Se
    Jung, Cheolkyu
    Sohn, Chul-Ho
    Han, Jung-Ho
    Kim, Chae-Yong
    Kim, Kwang Gi
    Kim, Jae Hyoung
    FRONTIERS IN ONCOLOGY, 2021, 11
  • [43] A Survey of 6D Object Detection Based on 3D Models for Industrial Applications
    Gorschlueter, Felix
    Rojtberg, Pavel
    Poellabauer, Thomas
    JOURNAL OF IMAGING, 2022, 8 (03)
  • [44] Fully Automated Spleen Localization and Segmentation Using Machine Learning and 3D Active Contours
    Wood, Alexander
    Soroushmehr, S. M. Reza
    Farzaneh, Negar
    Fessell, David
    Ward, Kevin R.
    Gryak, Jonathan
    Kahrobaei, Delaram
    Najarian, Kayvan
    2018 40TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2018, : 53 - 56
  • [45] Automated, machine learning-based, 3D echocardiographic quantification of left ventricular mass
    Volpato, Valentina
    Mor-Avi, Victor
    Narang, Akhil
    Prater, David
    Goncalves, Alexandra
    Tamborini, Gloria
    Fusini, Laura
    Pepi, Mauro
    Patel, Amit R.
    Lang, Roberto M.
    ECHOCARDIOGRAPHY-A JOURNAL OF CARDIOVASCULAR ULTRASOUND AND ALLIED TECHNIQUES, 2019, 36 (02): : 312 - 319
  • [46] 3D Automated Segmentation of Lower Leg Muscles Using Machine Learning on a Heterogeneous Dataset
    Rohm, Marlena
    Markmann, Marius
    Forsting, Johannes
    Rehmann, Robert
    Froeling, Martijn
    Schlaffke, Lara
    DIAGNOSTICS, 2021, 11 (10)
  • [47] Automated segmentation of soybean plants from 3D point cloud using machine learning
    Zhou, Jing
    Fu, Xiuqing
    Zhou, Shuiqin
    Zhou, Jianfeng
    Ye, Heng
    Nguyen, Henry T.
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2019, 162 : 143 - 153
  • [48] Ergonomic assessment of office worker postures using 3D automated joint angle assessment
    Rodrigues, Patrick B.
    Xiao, Yijing
    Fukumura, Yoko E.
    Awada, Mohamad
    Aryal, Ashrant
    Becerik-Gerber, Burcin
    Lucas, Gale
    Roll, Shawn C.
    ADVANCED ENGINEERING INFORMATICS, 2022, 52
  • [49] Developing automated characterization techniques to quantify 3D datasets for ceramic matrix composite materials
    Hilmas, Ashley M.
    Przybyla, Craig
    Schey, Mathew
    MRS COMMUNICATIONS, 2024, 14 (05) : 876 - 887
  • [50] Joint Estimation of 3D Hand Position and Gestures from Monocular Video for Mobile Interaction
    Song, Jie
    Pece, Fabrizio
    Soros, Gabor
    Koelle, Marion
    Hilliges, Otmar
    CHI 2015: PROCEEDINGS OF THE 33RD ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, 2015, : 3657 - 3660
12345