Статті в журналах з теми "Defect prediction model"
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Et.al, Christopher Paulraj. "An intelligent Model for Defect Prediction in Spot Welding." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (April 11, 2021): 3991–4002. http://dx.doi.org/10.17762/turcomat.v12i3.1689.
Повний текст джерелаMemon, Mashooque Ahmed, Mujeeb-ur-Rehman Maree Baloch, Muniba Memon, and Syed Hyder Abbas Musavi. "A Regression Analysis Based Model for Defect Learning and Prediction in Software Development." July 2021 40, no. 3 (July 1, 2021): 617–29. http://dx.doi.org/10.22581/muet1982.2103.15.
Повний текст джерелаYuan, Yuyu, Chenlong Li, and Jincui Yang. "An Improved Confounding Effect Model for Software Defect Prediction." Applied Sciences 13, no. 6 (March 8, 2023): 3459. http://dx.doi.org/10.3390/app13063459.
Повний текст джерелаZhang, Wei, Zhen Yu Ma, Qing Ling Lu, Xiao Bing Nie, and Juan Liu. "Research on Software Defect Prediction Method Based on Machine Learning." Applied Mechanics and Materials 687-691 (November 2014): 2182–85. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.2182.
Повний текст джерелаFalessi, Davide, Aalok Ahluwalia, and Massimiliano DI Penta. "The Impact of Dormant Defects on Defect Prediction: A Study of 19 Apache Projects." ACM Transactions on Software Engineering and Methodology 31, no. 1 (January 31, 2022): 1–26. http://dx.doi.org/10.1145/3467895.
Повний текст джерелаCHANG, CHING-PAO. "INTEGRATING ACTION-BASED DEFECT PREDICTION TO PROVIDE RECOMMENDATIONS FOR DEFECT ACTION CORRECTION." International Journal of Software Engineering and Knowledge Engineering 23, no. 02 (March 2013): 147–72. http://dx.doi.org/10.1142/s0218194013500022.
Повний текст джерелаNevendra, Meetesh, and Pradeep Singh. "Cross-Project Defect Prediction with Metrics Selection and Balancing Approach." Applied Computer Systems 27, no. 2 (December 1, 2022): 137–48. http://dx.doi.org/10.2478/acss-2022-0015.
Повний текст джерелаZhang, Jie, Gang Wang, Haobo Jiang, Fangzheng Zhao, and Guilin Tian. "Research and Appalication of Software Defect Predictionn based on BP-Migration learning." MATEC Web of Conferences 232 (2018): 03017. http://dx.doi.org/10.1051/matecconf/201823203017.
Повний текст джерелаPeng, Xuemei. "Research on Software Defect Prediction and Analysis Based on Machine Learning." Journal of Physics: Conference Series 2173, no. 1 (January 1, 2022): 012043. http://dx.doi.org/10.1088/1742-6596/2173/1/012043.
Повний текст джерелаHan, Wan Jiang, He Yang Jiang, Yi Sun, and Tian Bo Lu. "Software Defect Distribution Prediction for BOSS System." Applied Mechanics and Materials 701-702 (December 2014): 67–70. http://dx.doi.org/10.4028/www.scientific.net/amm.701-702.67.
Повний текст джерелаCHANG, CHING-PAO, and CHIH-PING CHU. "SOFTWARE DEFECT PREDICTION USING INTERTRANSACTION ASSOCIATION RULE MINING." International Journal of Software Engineering and Knowledge Engineering 19, no. 06 (September 2009): 747–64. http://dx.doi.org/10.1142/s0218194009004428.
Повний текст джерелаLiu, Can, Sumaya Sanober, Abu Sarwar Zamani, L. Rama Parvathy, Rahul Neware, and Abdul Wahab Rahmani. "Defect Prediction Technology in Software Engineering Based on Convolutional Neural Network." Security and Communication Networks 2022 (April 26, 2022): 1–8. http://dx.doi.org/10.1155/2022/5058461.
Повний текст джерелаLiu, Can, Sumaya Sanober, Abu Sarwar Zamani, L. Rama Parvathy, Rahul Neware, and Abdul Wahab Rahmani. "Defect Prediction Technology in Software Engineering Based on Convolutional Neural Network." Security and Communication Networks 2022 (April 26, 2022): 1–8. http://dx.doi.org/10.1155/2022/5058461.
Повний текст джерелаShi, Sheng Li, Jin Shi, and Rui Wang. "A Prediction Model Based on ISOMAP for Software Defects." Applied Mechanics and Materials 347-350 (August 2013): 3278–82. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.3278.
Повний текст джерелаMalhotra, Ruchika, and Shweta Meena. "Defect prediction model using transfer learning." Soft Computing 26, no. 10 (February 22, 2022): 4713–26. http://dx.doi.org/10.1007/s00500-022-06846-x.
Повний текст джерелаJorayeva, Manzura, Akhan Akbulut, Cagatay Catal, and Alok Mishra. "Deep Learning-Based Defect Prediction for Mobile Applications." Sensors 22, no. 13 (June 23, 2022): 4734. http://dx.doi.org/10.3390/s22134734.
Повний текст джерелаHan, Wan Jiang, Li Xin Jiang, Xiao Yan Zhang, and Yi Sun. "A Software Defect Prediction Model during the Test Period." Applied Mechanics and Materials 475-476 (December 2013): 1186–89. http://dx.doi.org/10.4028/www.scientific.net/amm.475-476.1186.
Повний текст джерелаGoel, Lipika, Neha Nandal, and Sonam Gupta. "An optimized approach for class imbalance problem in heterogeneous cross project defect prediction." F1000Research 11 (September 16, 2022): 1060. http://dx.doi.org/10.12688/f1000research.123616.1.
Повний текст джерелаZhang, Shenggang, Shujuan Jiang, and Yue Yan. "A Software Defect Prediction Approach Based on BiGAN Anomaly Detection." Scientific Programming 2022 (April 13, 2022): 1–13. http://dx.doi.org/10.1155/2022/5024399.
Повний текст джерелаZhang, Hua Yin, and Jian Long Ding. "Weighted Hybrid Defect Content and Effectiveness Model." Advanced Materials Research 846-847 (November 2013): 1762–67. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.1762.
Повний текст джерелаCui, Mengtian, Songlin Long, Yue Jiang, and Xu Na. "Research of Software Defect Prediction Model Based on Complex Network and Graph Neural Network." Entropy 24, no. 10 (September 27, 2022): 1373. http://dx.doi.org/10.3390/e24101373.
Повний текст джерелаPan, Cong, Minyan Lu, and Biao Xu. "An Empirical Study on Software Defect Prediction Using CodeBERT Model." Applied Sciences 11, no. 11 (May 23, 2021): 4793. http://dx.doi.org/10.3390/app11114793.
Повний текст джерелаVashisht, Rohit, and Syed Afzal Murtaza Rizvi. "An Empirical Study of Heterogeneous Cross-Project Defect Prediction Using Various Statistical Techniques." International Journal of e-Collaboration 17, no. 2 (April 2021): 55–71. http://dx.doi.org/10.4018/ijec.2021040104.
Повний текст джерелаZhao, Yu, Yi Zhu, Qiao Yu, and Xiaoying Chen. "Cross-Project Defect Prediction Considering Multiple Data Distribution Simultaneously." Symmetry 14, no. 2 (February 17, 2022): 401. http://dx.doi.org/10.3390/sym14020401.
Повний текст джерелаMisirli, Ayse Tosun, Ayse Bener, and Resat Kale. "AI-Based Software Defect Predictors: Applications and Benefits in a Case Study." AI Magazine 32, no. 2 (June 5, 2011): 57. http://dx.doi.org/10.1609/aimag.v32i2.2348.
Повний текст джерелаTosun, Ayse, Ayse Bener, and Resat Kale. "AI-Based Software Defect Predictors: Applications and Benefits in a Case Study." Proceedings of the AAAI Conference on Artificial Intelligence 24, no. 2 (July 11, 2010): 1748–55. http://dx.doi.org/10.1609/aaai.v24i2.18807.
Повний текст джерелаAlmayyan, Waheeda. "Towards Predicting Software Defects with Clustering Techniques." International Journal of Artificial Intelligence & Applications 12, no. 1 (January 31, 2021): 39–54. http://dx.doi.org/10.5121/ijaia.2021.12103.
Повний текст джерелаWang, Chongjiao, Changrong Yao, Bin Qiang, Siguang Zhao, and Yadong Li. "A Machine Learning Framework for Predicting Bridge Defect Detection Cost." Infrastructures 6, no. 11 (October 23, 2021): 152. http://dx.doi.org/10.3390/infrastructures6110152.
Повний текст джерелаZheng, Xianda, Yuan-Fang Li, Huan Gao, Yuncheng Hua, and Guilin Qi. "Towards Balanced Defect Prediction with Better Information Propagation." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 1 (May 18, 2021): 759–67. http://dx.doi.org/10.1609/aaai.v35i1.16157.
Повний текст джерелаGrobler-Dębska, Katarzyna, Edyta Kucharska, and Jerzy Baranowski. "Formal scheduling method for zero-defect manufacturing." International Journal of Advanced Manufacturing Technology 118, no. 11-12 (October 22, 2021): 4139–59. http://dx.doi.org/10.1007/s00170-021-08104-0.
Повний текст джерелаYi Zhu, Yi Zhu, Yu Zhao Yi Zhu, Qiao Yu Yu Zhao, and Xiaoying Chen Qiao Yu. "Cross-Project Defect Prediction Method based on Feature Distribution Alignment and Neighborhood Instance Selection." 網際網路技術學刊 23, no. 4 (July 2022): 761–69. http://dx.doi.org/10.53106/160792642022072304011.
Повний текст джерелаSchmidt, Immo, Lorenz Dingeldein, David Hünemohr, Henrik Simon, and Max Weigert. "Application of Machine Learning Methods to Predict the Quality of Electric Circuit Boards of a Production Line." PHM Society European Conference 7, no. 1 (June 29, 2022): 550–55. http://dx.doi.org/10.36001/phme.2022.v7i1.3372.
Повний текст джерелаVerna, Elisa, Gianfranco Genta, Maurizio Galetto, and Fiorenzo Franceschini. "Defects-per-unit control chart for assembled products based on defect prediction models." International Journal of Advanced Manufacturing Technology 119, no. 5-6 (October 31, 2021): 2835–46. http://dx.doi.org/10.1007/s00170-021-08157-1.
Повний текст джерелаWang, Yan. "Efficient Prediction Method of Defect of Monitor Configuration Software." Journal of Advanced Computational Intelligence and Intelligent Informatics 23, no. 2 (March 20, 2019): 340–44. http://dx.doi.org/10.20965/jaciii.2019.p0340.
Повний текст джерелаKim, Jun, and Ju Yeon Lee. "Development of a cost analysis-based defect-prediction system with a type error-weighted deep neural network algorithm." Journal of Computational Design and Engineering 9, no. 2 (February 25, 2022): 380–92. http://dx.doi.org/10.1093/jcde/qwac006.
Повний текст джерелаMalhotra, Ruchika, and Juhi Jain. "Predicting defects in imbalanced data using resampling methods: an empirical investigation." PeerJ Computer Science 8 (April 29, 2022): e573. http://dx.doi.org/10.7717/peerj-cs.573.
Повний текст джерелаHolovský, Jakub, Michael Stuckelberger, Tomáš Finsterle, Brianna Conrad, Amalraj Peter Amalathas, Martin Müller, and Franz-Josef Haug. "Towards Quantitative Interpretation of Fourier-Transform Photocurrent Spectroscopy on Thin-Film Solar Cells." Coatings 10, no. 9 (August 25, 2020): 820. http://dx.doi.org/10.3390/coatings10090820.
Повний текст джерелаTallian, T. E. "Simplified Contact Fatigue Life Prediction Model—Part II: New Model." Journal of Tribology 114, no. 2 (April 1, 1992): 214–20. http://dx.doi.org/10.1115/1.2920876.
Повний текст джерелаOlaleye, T. O., O. T. Arogundade, Sanjay Misra, A. Abayomi-Alli, and Utku Kose. "Predictive Analytics and Software Defect Severity: A Systematic Review and Future Directions." Scientific Programming 2023 (February 2, 2023): 1–18. http://dx.doi.org/10.1155/2023/6221388.
Повний текст джерелаVijaya Kumar, Suria Devi, Saravanan Karuppanan, and Mark Ovinis. "Artificial Neural Network-Based Failure Pressure Prediction of API 5L X80 Pipeline with Circumferentially Aligned Interacting Corrosion Defects Subjected to Combined Loadings." Materials 15, no. 6 (March 18, 2022): 2259. http://dx.doi.org/10.3390/ma15062259.
Повний текст джерелаSu, Qiang, Lei Liu, and Shengjie Lai. "Measuring the assembly quality from the operator mistake view: a case study." Assembly Automation 29, no. 4 (September 25, 2009): 332–40. http://dx.doi.org/10.1108/01445150910987745.
Повний текст джерелаKakkar, Misha, Sarika Jain, Abhay Bansal, and P. S. Grover. "Nonlinear Geometric Framework for Software Defect Prediction." International Journal of Decision Support System Technology 12, no. 3 (July 2020): 85–100. http://dx.doi.org/10.4018/ijdsst.2020070105.
Повний текст джерелаVashisht, Rohit, and Syed Afzal Murtaza Rizvi. "Estimation of Target Defect Prediction Coverage in Heterogeneous Cross Software Projects." International Journal of Information System Modeling and Design 12, no. 1 (January 2021): 73–93. http://dx.doi.org/10.4018/ijismd.2021010104.
Повний текст джерела李勇, 李勇, Ming Wen Yong Li, Zhandong Liu Ming Wen, and Haijun Zhang Zhandong Liu. "Using Cost-cognitive Bagging Ensemble to Improve Cross-project Defects Prediction." 網際網路技術學刊 23, no. 4 (July 2022): 779–89. http://dx.doi.org/10.53106/160792642022072304013.
Повний текст джерелаSinaga, Benyamin Langgu, Sabrina Ahmad, Zuraida Abal Abas, and Intan Ermahani A. Jalil. "A recommendation system of training data selection method for cross-project defect prediction." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 2 (August 1, 2022): 990. http://dx.doi.org/10.11591/ijeecs.v27.i2.pp990-1006.
Повний текст джерелаChen, Chao, and Xingyuan Zhang. "Research on laser ultrasonic surface defect identification based on a support vector machine." Science Progress 104, no. 4 (October 2021): 003685042110590. http://dx.doi.org/10.1177/00368504211059038.
Повний текст джерелаLiu, Wenjian, Baoping Wang, and Wennan Wang. "Deep Learning Software Defect Prediction Methods for Cloud Environments Research." Scientific Programming 2021 (November 18, 2021): 1–11. http://dx.doi.org/10.1155/2021/2323100.
Повний текст джерелаLamba, Tripti, Kavita, and A. K. Mishra. "Optimal Machine learning Model for Software Defect Prediction." International Journal of Intelligent Systems and Applications 11, no. 2 (February 8, 2019): 36–48. http://dx.doi.org/10.5815/ijisa.2019.02.05.
Повний текст джерела., Shaik Nafeez Umar. "SOFTWARE TESTING DEFECT PREDICTION MODEL - A PRACTICAL APPROACH." International Journal of Research in Engineering and Technology 02, no. 05 (May 25, 2013): 741–45. http://dx.doi.org/10.15623/ijret.2013.0205001.
Повний текст джерелаShibo, Wang, Li Yong, Mi Wenbo, and Liu Ying. "Software Defect Prediction Incremental Model using Ensemble Learning." International Journal of Performability Engineering 16, no. 11 (2020): 1771. http://dx.doi.org/10.23940/ijpe.20.11.p9.17711780.
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