Predict the number of remaining faults during inspection using actual inspection data, where as Stranded predict which files will contain the most faults in the next release
- DOI
- 10.17148/ijarcce.2014.31124
- Published
- 2014-11-27
- Container
- IJARCCE
- Publisher
- Tejass Publishers
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.17148/ijarcce.2014.31124,
title = {Predict the number of remaining faults during inspection using actual inspection data, where as Stranded predict which files will contain the most faults in the next release},
author = {K.RAMA KRISHNA and B.KAVITHA LAXMI and S.PRATHIBHA BHARATHI and A. RADHIKA},
year = {2014},
journal = {IJARCCE},
doi = {10.17148/ijarcce.2014.31124},
url = {https://doi.org/10.17148/ijarcce.2014.31124}
}RIS
TY - JOUR TI - Predict the number of remaining faults during inspection using actual inspection data, where as Stranded predict which files will contain the most faults in the next release AU - K.RAMA KRISHNA AU - B.KAVITHA LAXMI AU - S.PRATHIBHA BHARATHI AU - A. RADHIKA PY - 2014 JO - IJARCCE DO - 10.17148/ijarcce.2014.31124 UR - https://doi.org/10.17148/ijarcce.2014.31124 ER -
APA
KRISHNA, K., LAXMI, B., BHARATHI, S., & RADHIKA, A. (2014). Predict the number of remaining faults during inspection using actual inspection data, where as Stranded predict which files will contain the most faults in the next release. IJARCCE. https://doi.org/10.17148/ijarcce.2014.31124
Source records
- crossref · retrieved 2026-09-25T02:12:34.283Z