Zobrazeno 1 - 10
of 3 311
pro vyhledávání: '"Defect Prediction"'
Publikováno v:
International Journal of Web Information Systems, 2024, Vol. 20, Issue 6, pp. 621-638.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJWIS-07-2024-0200
Autor:
Ahmed Abdu, Zhengjun Zhai, Hakim A. Abdo, Sungon Lee, Mohammed A. Al-masni, Yeong Hyeon Gu, Redhwan Algabri
Publikováno v:
Alexandria Engineering Journal, Vol 112, Iss , Pp 161-176 (2025)
Cross-project defect prediction (CPDP) plays an essential role in identifying potential defects in target projects, especially those with limited historical data, using relevant information from similar source projects. The current studies focused on
Externí odkaz:
https://doaj.org/article/d0094f25b95d4311ba5c955aeec4c762
Publikováno v:
Journal of Applied Informatics and Computing, Vol 8, Iss 2, Pp 472-477 (2024)
Software Defect Prediction Dataset as a component of the Software Defect Prediction model has a very vital role. However, NASA Software Defect Prediction has a problem with imbalance in minority data. This study compares the performance of oversampli
Externí odkaz:
https://doaj.org/article/3a8346352c804110a84bd982ff71f9d1
Publikováno v:
International Journal of Intelligent Computing and Cybernetics, 2024, Vol. 17, Issue 2, pp. 436-464.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJICC-11-2023-0385
Autor:
A. J. Anju, J. E. Judith
Publikováno v:
Journal of Engineering and Applied Science, Vol 71, Iss 1, Pp 1-21 (2024)
Abstract To address the challenges associated with the abundance of features in software datasets, this study proposes a novel hybrid feature selection method that combines quantum particle swarm optimization (QPSO) and principal component analysis (
Externí odkaz:
https://doaj.org/article/06da58a4dd7c4441a50b488d82a468fb
Publikováno v:
Open Computer Science, Vol 14, Iss 1, Pp pp. 7-13 (2024)
Hardware testing has always been the core of hardware development, and improving the performance and efficiency of hardware testing is very important for hardware development. Because hardware quality management is insufficient, many large hardware t
Externí odkaz:
https://doaj.org/article/d45beb03bd904cf0ba8ecb7b6c4f7d07
Publikováno v:
Heliyon, Vol 10, Iss 18, Pp e37360- (2024)
Effort-aware just-in-time software defect prediction (JIT-SDP) aims to effectively utilize the limited resources of software quality assurance (SQA) to detect more software defects. This improves the efficiency of SQA work and the quality of the soft
Externí odkaz:
https://doaj.org/article/43a447933f274be1a092ce1ab50a4e1c
Autor:
Bruno Sotto-Mayor, Meir Kalech
Publikováno v:
IEEE Access, Vol 12, Pp 93398-93425 (2024)
Software defect prediction involves predicting which components in a software program, like classes or functions, are likely to have defects, based on metrics that describe those components. Cross-project defect prediction is a type of defect predict
Externí odkaz:
https://doaj.org/article/457beb235f6b405eb4d7082d5ac13ec3
Autor:
HAN Hui, YU Qiao, ZHU Yi
Publikováno v:
Jisuanji kexue yu tansuo, Vol 17, Iss 12, Pp 3052-3064 (2023)
In the field of machine learning, hyperparameters are one of the key factors that affect prediction performance. Previous studies have shown that optimizing hyperparameters can improve the performance of inner-version defect prediction and cross-proj
Externí odkaz:
https://doaj.org/article/1bb91ece4f5c4413a2a28753cd786995
Autor:
Tang, Yu a, b, e, Zhou, Yang a, b, e, Yang, Cheng a, b, e, Du, Ye a, b, c, e, ⁎, Yang, Ming-song d, e
Publikováno v:
In Information and Software Technology March 2025 179