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

K.RAMA KRISHNA, B.KAVITHA LAXMI, S.PRATHIBHA BHARATHI, A. RADHIKA

Open source

DOI
10.17148/ijarcce.2014.31124
Published
2014-11-27
Container
IJARCCE
Publisher
Tejass Publishers
Open access
unknown

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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

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