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
来源：
IEEE International Conference on Software Maintenance, ICSM | 2013年
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
  • [1] Improving statistical approach for memory leak detection using machine learning
    Sor, Vladimir
    Treier, Tarvo
    Srirama, Satish Narayana
    2013 29TH IEEE INTERNATIONAL CONFERENCE ON SOFTWARE MAINTENANCE (ICSM), 2013, : 544 - 547
  • [2] Automated Statistical Approach for Memory Leak Detection: Case Studies
    Sor, Vladimir
    Salnikov-Tarnovski, Nikita
    Srirama, Satish Narayana
    ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS: OTM 2011, PT II, 2011, 7045 : 635 - +
  • [3] Automated statistical approach for memory leak detection: Case studies
    Institute of Computer Science, University of Tartu, J. Liivi 2, Tartu, Estonia
    不详
    Lect. Notes Comput. Sci., PART 2 (635-642):
  • [4] Pipe network leak detection: comparison between statistical and machine learning techniques
    van der Walt, J. C.
    Heyns, P. S.
    Wilke, D. N.
    URBAN WATER JOURNAL, 2018, 15 (10) : 953 - 960
  • [5] IMPROVING MISPRONUNCIATION DETECTION USING MACHINE LEARNING
    Chen, Yuqiang
    Huang, Chao
    Soong, Frank
    2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1- 8, PROCEEDINGS, 2009, : 4865 - +
  • [6] Low-overhead memory leak detection using adaptive statistical profiling
    Chilimbi, TM
    Hauswirth, M
    ACM SIGPLAN NOTICES, 2004, 39 (11) : 156 - 164
  • [7] Improving Detection Rate Using Misuse Detection and Machine Learning
    Rajpal, Rohini
    Kaur, Sanmeet
    Kaur, Ramandeep
    PROCEEDINGS OF THE 2016 SAI COMPUTING CONFERENCE (SAI), 2016, : 1131 - 1135
  • [8] QUICKEST MEAL DETECTION USING STATISTICAL MACHINE LEARNING
    Tabella, G.
    Siddiqui, S.
    Rossi, P.
    DIABETES TECHNOLOGY & THERAPEUTICS, 2022, 24 : A230 - A230
  • [9] Leak detection in water distribution network using machine learning techniques
    Sourabh N.
    Timbadiya P.V.
    Patel P.L.
    ISH Journal of Hydraulic Engineering, 2023, 29 (sup1) : 177 - 195
  • [10] Improving Spoofed Website Detection Using Machine Learning
    Gandotra, Ekta
    Gupta, Deepak
    CYBERNETICS AND SYSTEMS, 2021, 52 (02) : 169 - 190
12345