An empirical investigation into the capabilities of anomaly detection approaches for test smell detection

被引：0
|
作者：
Pontillo, Valeria [1 ]
Martins, Luana [2 ]
Machado, Ivan [3 ]
Palomba, Fabio [2 ]
Ferrucci, Filomena [2 ]
机构：
[1] Software Languages (SOFT) Lab — Vrije Universiteit Brussel, Belgium
[2] Software Engineering (SeSa) Lab - Department of Computer Science, University of Salerno, Italy
[3] Federal University of Bahia, Salvador, Brazil
来源：
Journal of Systems and Software | / 222卷
关键词：
Number:; -; Acronym:; EC; Sponsor: European Commission; BOL0188/2020; FAPESB; Sponsor: Fundação de Amparo à Pesquisa do Estado da Bahia; PIE0002/2022;
D O I：
112320
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [1] An empirical study of two approaches to sequence learning for anomaly detection
    Lane, T
    Brodley, CE
    MACHINE LEARNING, 2003, 51 (01) : 73 - 107
  • [2] An Empirical Study of Two Approaches to Sequence Learning for Anomaly Detection
    Terran Lane
    Carla E. Brodley
    Machine Learning, 2003, 51 : 73 - 107
  • [3] Anomaly Detection: Firewalls Capabilities and Limitations
    Alsehibani, Sultan
    Almuhammadi, Sultan
    PROCEEDINGS 2018 INTERNATIONAL CONFERENCE ON COMPUTING SCIENCES AND ENGINEERING (ICCSE), 2018,
  • [4] Code smell detection using feature selection and stacking ensemble: An empirical investigation
    Alazba, Amal
    Aljamaan, Hamoud
    INFORMATION AND SOFTWARE TECHNOLOGY, 2021, 138
  • [5] An empirical study of the effects of minimization on the fault detection capabilities of test suites
    Rothermel, G
    Harrold, MJ
    Ostrin, J
    Hong, C
    INTERNATIONAL CONFERENCE ON SOFTWARE MAINTENANCE, PROCEEDINGS, 1998, : 34 - 43
  • [6] An Empirical Investigation of Practical Log Anomaly Detection for Online Service Systems
    Zhao, Nengwen
    Wang, Honglin
    Li, Zeyan
    Peng, Xiao
    Wang, Gang
    Pan, Zhu
    Wu, Yong
    Feng, Zhen
    Wen, Xidao
    Zhang, Wenchi
    Sui, Kaixin
    Pei, Dan
    PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21), 2021, : 1404 - 1415
  • [7] A Novel Approach for Code Smell Detection: An Empirical Study
    Dewangan, Seema
    Rao, Rajwant Singh
    Mishra, Alok
    Gupta, Manjari
    IEEE ACCESS, 2021, 9 (09): : 162869 - 162883
  • [8] Approaches for Anomaly Detection in Network : A Survey
    Sawant, Anuja A.
    Game, Pravin S.
    2018 FOURTH INTERNATIONAL CONFERENCE ON COMPUTING COMMUNICATION CONTROL AND AUTOMATION (ICCUBEA), 2018,
  • [9] Anomaly Detection Approaches for Semiconductor Manufacturing
    Susto, Gian Antonio
    Terzi, Matteo
    Beghi, Alessandro
    27TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING, FAIM2017, 2017, 11 : 2018 - 2024
  • [10] Anomaly Detection Using Behavioral Approaches
    Benferhat, Salem
    Tabia, Karim
    SOFTWARE AND DATA TECHNOLOGIES, 2009, 47 : 217 - 230
12345