An unsupervised cross project model for crashing fault residence identification

[1]  Antonio Brogi,et al.  Anomaly Detection and Failure Root Cause Analysis in (Micro) Service-Based Cloud Applications: A Survey , 2021, ACM Comput. Surv..

[2]  Xiapu Luo,et al.  Feature selection and embedding based cross project framework for identifying crashing fault residence , 2021, Inf. Softw. Technol..

[3]  Xiapu Luo,et al.  A comprehensive comparative study of clustering-based unsupervised defect prediction models , 2021, J. Syst. Softw..

[4]  Tian Zhang,et al.  Birch , 2020, The Long, Long Life of Trees.

[5]  Xiaohong Zhang,et al.  Imbalanced metric learning for crashing fault residence prediction , 2020, J. Syst. Softw..

[6]  Pantea Keikhosrokiani,et al.  Assembly Line Anomaly Detection and Root Cause Analysis Using Machine Learning , 2020, IEEE Access.

[7]  Xiapu Luo,et al.  LDFR: Learning deep feature representation for software defect prediction , 2019, J. Syst. Softw..

[8]  Ning Li,et al.  A Systematic Review of Unsupervised Learning Techniques for Software Defect Prediction , 2019, Inf. Softw. Technol..

[9]  Hongyu Zhang,et al.  Does the fault reside in a stack trace? Assisting crash localization by predicting crashing fault residence , 2019, J. Syst. Softw..

[10]  J. Grabowski,et al.  Correction of "A Comparative Study to Benchmark Cross-project Defect Prediction Approaches" , 2017, IEEE Trans. Software Eng..

[11]  Tim Menzies,et al.  Revisiting unsupervised learning for defect prediction , 2017, ESEC/SIGSOFT FSE.

[12]  A. Hamou-Lhadj,et al.  A bug reproduction approach based on directed model checking and crash traces , 2017, J. Softw. Evol. Process..

[13]  Martin Monperrus,et al.  Crash reproduction via test case mutation: let existing test cases help , 2015, ESEC/SIGSOFT FSE.

[14]  Ning Chen,et al.  STAR: Stack Trace Based Automatic Crash Reproduction via Symbolic Execution , 2015, IEEE Transactions on Software Engineering.

[15]  Michael D. Ernst,et al.  Are mutants a valid substitute for real faults in software testing? , 2014, SIGSOFT FSE.

[16]  Sarfraz Khurshid,et al.  Injecting mechanical faults to localize developer faults for evolving software , 2013, OOPSLA.

[17]  Marianna Bolla,et al.  Spectral Clustering and Biclustering , 2013 .

[18]  Guangchun Luo,et al.  Transfer learning for cross-company software defect prediction , 2012, Inf. Softw. Technol..

[19]  Laurie A. Williams,et al.  An empirical model to predict security vulnerabilities using code complexity metrics , 2008, ESEM '08.

[20]  Jonathan H. Manton,et al.  Optimization algorithms exploiting unitary constraints , 2002, IEEE Trans. Signal Process..

[21]  Inderjit S. Dhillon,et al.  Co-clustering documents and words using bipartite spectral graph partitioning , 2001, KDD '01.

[22]  Anders Thorstenson,et al.  A big data-driven root cause analysis system: Application of Machine Learning in quality problem solving , 2021, Comput. Ind. Eng..