Early Software Defects Density Prediction: Training the International Software Benchmarking Cross Projects Data Using Supervised Learning

touseef tahir, Cigdem Gencel, Ghulam Rasool, Tariq Umer, Jawad Rasheed, SOOK FERN YEO, Taner Cevik

Research output: Contribution to journal › Article › peer-review

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title = "Early Software Defects Density Prediction: Training the International Software Benchmarking Cross Projects Data Using Supervised Learning",

author = "touseef tahir and Cigdem Gencel and Ghulam Rasool and Tariq Umer and Jawad Rasheed and YEO, {SOOK FERN} and Taner Cevik",

year = "2023",

month = dec,

day = "5",

doi = "10.1109/access.2023.3339994",

language = "Undefined",

journal = "IEEE Access",

issn = "2169-3536",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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TY - JOUR

T1 - Early Software Defects Density Prediction: Training the International Software Benchmarking Cross Projects Data Using Supervised Learning

AU - tahir, touseef

AU - Gencel, Cigdem

AU - Rasool, Ghulam

AU - Umer, Tariq

AU - Rasheed, Jawad

AU - YEO, SOOK FERN

AU - Cevik, Taner

PY - 2023/12/5

Y1 - 2023/12/5

UR - http://dx.doi.org/10.1109/access.2023.3339994

U2 - 10.1109/access.2023.3339994

DO - 10.1109/access.2023.3339994

M3 - Article

SN - 2169-3536

JO - IEEE Access

JF - IEEE Access

ER -