An Empirical Analysis on Effectiveness of Source Code Metrics for Aging Related Bug Prediction

Chinmay Hota, Lov Kumar, Lalita Bhanu Murthy Neti. An Empirical Analysis on Effectiveness of Source Code Metrics for Aging Related Bug Prediction. In Joseph J. Pfeiffer Jr., editor, The 25th International DMS Conference on Visualization and Visual Languages, DMSVIVS 2019, Hotel Tivoli, Lisbon, Portugal, July 8-9, 2019. pages 83-94, KSI Research Inc. and Knowledge Systems Institute Graduate School, 2019. [doi]

@inproceedings{HotaKN19,
  title = {An Empirical Analysis on Effectiveness of Source Code Metrics for Aging Related Bug Prediction},
  author = {Chinmay Hota and Lov Kumar and Lalita Bhanu Murthy Neti},
  year = {2019},
  doi = {10.18293/DMSVIVA2019-022},
  url = {https://doi.org/10.18293/DMSVIVA2019-022},
  researchr = {https://researchr.org/publication/HotaKN19},
  cites = {0},
  citedby = {0},
  pages = {83-94},
  booktitle = {The 25th International DMS Conference on Visualization and Visual Languages, DMSVIVS 2019, Hotel Tivoli, Lisbon, Portugal, July 8-9, 2019},
  editor = {Joseph J. Pfeiffer Jr.},
  publisher = {KSI Research Inc. and Knowledge Systems Institute Graduate School},
  isbn = {1-891706-49-7},
}