Predicting software defects using machine learning techniques
A huge variety of software systems are relied upon in such domains as aviation, healthcare, manufacturing and robotics, and therefore, h systems and that they are reliable. Software defect prediction helps improve software reliability by identifying potential bugs during software maintenance. Tradit...
| Main Authors: | Aquil, M.A.I., Ishak, W.H.W. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.23167 / |
| Published: |
World Academy of Research in Science and Engineering
2020
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090287178&doi=10.30534%2fijatcse%2f2020%2f352942020&partnerID=40&md5=241189e8b745ce63e0ccfa5e0494ffd4 http://eprints.utp.edu.my/23167/ |
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