Application Log Analysis

Application Log Analysis is a methodological framework within log analysis that specifically involves the systematic examination, interpretation, and extraction of meaningful patterns, anomalies, and operational insights from application-generated log data to support software reliability, performance optimization, and fault diagnosis.

50

Publications

2.5K

Citations

166

Authors

59

Institutions

Publications per year

2017–2026

22

Authors

166

  1. AE
    Ahmed E. Hassan

    Queen's University, Canada

    6 publications · 416 citations

    6

    h-index

  2. ZM
    Zhen Ming Jiang

    Queen's University, Canada

    4 publications · 244 citations

    4

    h-index

  3. PF
    Parminder Flora

    Queen's University, Canada

    4 publications · 238 citations

    4

    h-index

  4. WS
    Weiyi Shang

    Concordia University, Canada

    3 publications · 203 citations

    3

    h-index

  5. AP
    Antonio Pecchia

    University of Naples Federico II, Italy

    2 publications · 55 citations

    2

    h-index

1–5 of 166

Venues

  1. Empirical Software Engineering

    3 publications · 227 citations

    3

    h-index

  2. 1

    h-index

  3. International Journal of Machine Learning and Computing

    IJMLC · 1 publications · 16 citations

    1

    h-index

  4. Education and Information Technologies

    1 publications · 21 citations

    1

    h-index

  5. Knowledge-Based Systems

    1 publications · 24 citations

    1

    h-index

1–5