Improving statistical approach for memory leak detection using machine learning

被引:0
|
作者
Šor, Vladimir [1 ]
Oü, Plumbr [1 ]
Treier, Tarvo [2 ]
Srirama, Satish Narayana [3 ]
机构
[1] Software Technology and Applications Competence Center, Ülikooli 2, Tartu, Estonia
[2] Tallinn University of Technology, Ehitajate tee 5, Tallinn, Estonia
[3] University of Tartu, Liivi 2, Tartu, Estonia
关键词
Engineering Village;
D O I
6676953
中图分类号
学科分类号
摘要
Automatic memory management - Classification algorithm - Customer environment - Java virtual machines - Memory leak detections - Production environments - Quality assurance process - Statistical approach
引用
收藏
页码:544 / 547
相关论文
共 50 条
  • [21] Improving Clone Detection Precision using Machine Learning Techniques
    Arammongkolvichai, Vara
    Koschke, Rainer
    Ragkhitwetsagul, Chaiyong
    Choetkiertikul, Morakot
    Sunetnanta, Thanwadee
    2019 10TH INTERNATIONAL WORKSHOP ON EMPIRICAL SOFTWARE ENGINEERING IN PRACTICE (IWESEP 2019), 2019, : 31 - 36
  • [22] A machine learning approach for improving the performance of network intrusion detection systems
    Azizan A.H.
    Mostafa S.A.
    Mustapha A.
    Mohd Foozy C.F.
    Abd Wahab M.H.
    Mohammed M.A.
    Khalaf B.A.
    Annals of Emerging Technologies in Computing, 2021, 5 (Special issue 5) : 201 - 208
  • [23] A Framework for Improving the Performance of QKDN using Machine Learning Approach
    Arthi, R.
    Saravanan, A.
    Nayana, J. S.
    Muthukumaran, Chandresh
    ADCAIJ-ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL, 2023, 12 (01):
  • [24] Improving the Efficiency of Photovoltaic Panels Using Machine Learning Approach
    Khilar, Rashmita
    Suba, G. Merlin
    Kumar, T. Sathesh
    Samson Isaac, J.
    Shinde, Santaji Krishna
    Ramya, S.
    Prabhu, V.
    Erko, Kuma Gowwomsa
    INTERNATIONAL JOURNAL OF PHOTOENERGY, 2022, 2022
  • [25] A DEEP LEARNING APPROACH FOR UNDERWATER LEAK DETECTION
    da Silva, Viviane F.
    Netto, Theodoro A.
    Ribeiro, Bessie A.
    PROCEEDINGS OF ASME 2022 41ST INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE & ARCTIC ENGINEERING, OMAE2022, VOL 1, 2022,
  • [26] A two-phase approach for leak detection and localization in water distribution systems using wavelet decomposition and machine learning
    Adraoui, Meriem
    Azmi, Rida
    Chenal, Jerome
    Diop, El Bachir
    Abdem, Seyid Abdellahi Ebnou
    Serbouti, Imane
    Hlal, Mohammed
    Bounabi, Mariem
    COMPUTERS & INDUSTRIAL ENGINEERING, 2024, 197
  • [27] Ransomware detection based on machine learning using memory features
    Aljabri, Malak
    Alhaidari, Fahd
    Albuainain, Aminah
    Alrashidi, Samiyah
    Alansari, Jana
    Alqahtani, Wasmiyah
    Alshaya, Jana
    EGYPTIAN INFORMATICS JOURNAL, 2024, 25
  • [28] A Projection-based Approach for Memory Leak Detection
    Sun, Xiaohui
    Xu, Sihan
    Guo, Chenkai
    Xu, Jing
    Dong, Naipeng
    Ji, Xiujuan
    Zhang, Sen
    2018 IEEE 42ND ANNUAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE (COMPSAC 2018), VOL 2, 2018, : 430 - 435
  • [29] Detection of Atrial Fibrillation Using a Machine Learning Approach
    Liaqat, Sidrah
    Dashtipour, Kia
    Zahid, Adnan
    Assaleh, Khaled
    Arshad, Kamran
    Ramzan, Naeem
    INFORMATION, 2020, 11 (12) : 1 - 15
  • [30] Insider Threat Detection Using Machine Learning Approach
    Sarhan, Bushra Bin
    Altwaijry, Najwa
    APPLIED SCIENCES-BASEL, 2023, 13 (01):