Root Cause Analysis of Large Scale Application Testing Results

被引:2
|
作者
Opmanis, Rudolfs [1 ]
Kikusts, Paulis [1 ]
Opmanis, Martins [1 ]
机构
[1] Univ Latvia, Inst Math & Comp Sci, Rainis Blvd 29, LV-1459 Riga, Latvia
关键词
root cause analysis; software regression testing; hierarchy graphs;
D O I
10.15388/Informatica.2016.113
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We present a new root cause analysis algorithm for discovering the most likely causes of differences found in testing results of two versions of the same software. Problematic points in test and environment attribute hierarchies are presented to a user in a compact way which in turn allows saving time on test result processing. We have proven that for clearly separated problem causes our algorithm gives an exact solution. Practical application of described method is discussed.
引用
收藏
页码:819 / 842
页数:24
相关论文
共 50 条
  • [1] Visualization of Large-Scale Application Testing Results
    Opmanis, Rudolfs
    Kikusts, Paulis
    Opmanis, Martins
    [J]. BALTIC JOURNAL OF MODERN COMPUTING, 2016, 4 (01): : 34 - 50
  • [2] DEFECT ROOT CAUSE ANALYSIS IN LARGE SCALE MANUFACTURING SYSTEM
    Noursadeghi, Elaheh
    Kamani, Parisa
    Afshar, Ahmad
    [J]. 2011 INTERNATIONAL CONFERENCE ON COMPUTER AND COMPUTATIONAL INTELLIGENCE (ICCCI 2011), 2012, : 179 - 184
  • [3] Fast Dimensional Analysis for Root Cause Investigation in a Large-Scale Service Environment
    Lin, Fred
    Muzumdar, Keyur
    Laptev, Nikolay Pavlovich
    Curelea, Mihai-Valentin
    Lee, Seunghak
    Sankar, Sriram
    [J]. PROCEEDINGS OF THE ACM ON MEASUREMENT AND ANALYSIS OF COMPUTING SYSTEMS, 2020, 4 (02)
  • [4] Towards a Timely Root Cause Analysis for Complex Situations in Large Scale Telecommunications Networks
    Schaaf, Marc
    Wilke, Gwendolin
    Mikkola, Topi
    Bunn, Erik
    Hela, Ilkka
    Wache, Holger
    Grivas, Stella Gatziu
    [J]. KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS 19TH ANNUAL CONFERENCE, KES-2015, 2015, 60 : 160 - 169
  • [5] Fast Dimensional Analysis for Root Cause Investigation in a Large-Scale Service Environment
    Lin F.
    Muzumdar K.
    Pavlovich Laptev N.
    Curelea M.-V.
    Lee S.
    Sankar S.
    [J]. Lin, Fred (fanlin@fb.com), 1600, Association for Computing Machinery (48): : 25 - 26
  • [6] Progress in Root Cause and Fault Propagation Analysis of Large-Scale Industrial Processes
    Yang, Fan
    Xiao, Deyun
    [J]. JOURNAL OF CONTROL SCIENCE AND ENGINEERING, 2012, 2012
  • [7] Lifelong Machine Learning and root cause analysis for large-scale cancer patient data
    Gautam Pal
    Xianbin Hong
    Zhuo Wang
    Hongyi Wu
    Gangmin Li
    Katie Atkinson
    [J]. Journal of Big Data, 6
  • [8] Lifelong Machine Learning and root cause analysis for large-scale cancer patient data
    Pal, Gautam
    Hong, Xianbin
    Wang, Zhuo
    Wu, Hongyi
    Li, Gangmin
    Atkinson, Katie
    [J]. JOURNAL OF BIG DATA, 2019, 6 (01)
  • [9] TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems
    Ding, Ruomeng
    Zhang, Chaoyun
    Wang, Lu
    Xu, Yong
    Ma, Minghua
    Wu, Xiaomin
    Zhang, Meng
    Chen, Qingjun
    Gao, Xin
    Gao, Xuedong
    Fan, Hao
    Rajmohan, Saravan
    Lin, Qingwei
    Zhang, Dongmei
    [J]. PROCEEDINGS OF THE 31ST ACM JOINT MEETING EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING, ESEC/FSE 2023, 2023, : 1762 - 1773
  • [10] ROOT CAUSE ANALYSIS OF BEND STIFFENER FAILURE DURING UMBILICAL FULL-SCALE FATIGUE TESTING
    Doynov, Krassimir
    Belson, Evyatar
    Yuan, Hengliang
    Haakonsen, Rune
    Li, Ying
    Duggan, John
    [J]. PROCEEDINGS OF THE ASME 35TH INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING , 2016, VOL 5, 2016,