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المؤلفون: Mcmurray, S., Sodhro, A. H.
المصدر: Sensors. 23(7)
مصطلحات موضوعية: Algorithms, Bayes Theorem, Machine Learning, Neural Networks, Computer, Software, Support Vector Machine, Adaptive boosting, Application programs, Decision trees, Defects, Extraction, Learning systems, Least squares approximations, Life cycle, Nearest neighbor search, Principal component analysis, Software design, Support vector machines, Elastic net, Ensemble learning, Features extraction, Features selection, Machine-learning, Partial least square regression, Principal-component analysis, Selection techniques, Software defect prediction, Software development life-cycle, algorithm, Feature extraction, feature selection, software defects prediction
وصف الملف: print
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المؤلفون: Marin Silic, Petar Afric, Lucija Sikic, Adrian Satja Kurdija
المصدر: IEEE Access, Vol 9, Pp 19391-19411 (2021)
مصطلحات موضوعية: General Computer Science, Computer science, Stability (learning theory), 02 engineering and technology, computer.software_genre, change metrics, Set (abstract data type), Software development process, Software, 0202 electrical engineering, electronic engineering, information engineering, General Materials Science, process metrics, Context model, Product design, business.industry, classification, feature engineering, process metrics, change metrics, software defect prediction, General Engineering, Process (computing), 020207 software engineering, Timeline, Classification, software defect prediction, feature engineering, Software bug, 020201 artificial intelligence & image processing, Data mining, lcsh:Electrical engineering. Electronics. Nuclear engineering, business, computer, lcsh:TK1-9971
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المساهمون: Blue Eyes Intelligence Engineering and Sciences Publication(BEIESP)
المصدر: International Journal of Recent Technology and Engineering (IJRTE). 10:204-208
مصطلحات موضوعية: Estimation, business.industry, Computer science, 2277-3878, Software Quality Metrics, Software Defect Prediction, Software Fault Prediction, Machine Learning Algorithms, General Engineering, Machine learning, computer.software_genre, Software bug, Management of Technology and Innovation, 100.1/ijrte.A58980510121, Artificial intelligence, business, computer
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35cf837d967bf662f46323c2fe90dbfe
https://doi.org/10.35940/ijrte.a5898.0510121 -
4
المؤلفون: Zixuan Ding, Chi Yu, Xiang Chen
المصدر: IEEE Access, Vol 9, Pp 69405-69417 (2021)
مصطلحات موضوعية: General Computer Science, Computer science, privacy protection, 0211 other engineering and technologies, homomorphic encryption, Cryptography, 02 engineering and technology, computer.software_genre, Encryption, Software, Server, 0202 electrical engineering, electronic engineering, information engineering, General Materials Science, 021103 operations research, business.industry, logistic regression, General Engineering, Homomorphic encryption, 020207 software engineering, Construct (python library), TK1-9971, Software bug, Scripting language, Data mining, Electrical engineering. Electronics. Nuclear engineering, business, computer, Software defect prediction
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المؤلفون: Lu Lu, Junhao Lin
المصدر: IEEE Access, Vol 9, Pp 13112-13124 (2021)
مصطلحات موضوعية: Source code, Word embedding, General Computer Science, Semantic feature, Computer science, media_common.quotation_subject, 02 engineering and technology, 010501 environmental sciences, computer.software_genre, Semantics, 01 natural sciences, 0202 electrical engineering, electronic engineering, information engineering, General Materials Science, 0105 earth and related environmental sciences, media_common, business.industry, bi-directional long short-term memory network, Deep learning, General Engineering, deep learning, 020207 software engineering, abstract syntax tree, Tree structure, Software bug, Artificial intelligence, Data mining, lcsh:Electrical engineering. Electronics. Nuclear engineering, business, Abstract syntax tree, computer, Software defect prediction, lcsh:TK1-9971
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المؤلفون: Nasser Taleb, Faseeha Matloob, Sagheer Abbas, Shabib Aftab, Taher M. Ghazal, Munir Ahmad, Tariq Rahim Soomro, Muhammad Adnan Khan
المصدر: IEEE Access, Vol 9, Pp 98754-98771 (2021)
مصطلحات موضوعية: Boosting (machine learning), General Computer Science, business.industry, Computer science, General Engineering, hybrid classifier, Machine learning, computer.software_genre, ensemble classifier, Ensemble learning, TK1-9971, Random forest, Domain (software engineering), software defect prediction, Software, Systematic review, Software bug, General Materials Science, Electrical engineering. Electronics. Nuclear engineering, Artificial intelligence, business, Baseline (configuration management), Systematic literature review (SLR), computer
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المؤلفون: Dong-Gun Lee, Yeong-Seok Seo
المصدر: Human-Centric Computing and Information Sciences, Vol 10, Iss 1, Pp 1-22 (2020)
مصطلحات موضوعية: Artificial intelligence, General Computer Science, Computer science, Bug report triage, 02 engineering and technology, computer.software_genre, Latent Dirichlet allocation, lcsh:QA75.5-76.95, symbols.namesake, Software, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, lcsh:Information theory, Latent Dirichlet Allocation, Android (operating system), Bug tracking system, Software engineering, business.industry, Software development, 020207 software engineering, Triage, lcsh:Q350-390, Support vector machine, Software bug, symbols, 020201 artificial intelligence & image processing, lcsh:Electronic computers. Computer science, business, computer, Software defect prediction
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المؤلفون: Nana Zhang, Shi Ying, Xu Wang, Kun Zhu
المساهمون: Artificial intelligence, Knowledge Representation and Reasoning
المصدر: Zhang, N, Zhu, K, Ying, S & Wang, X 2020, ' KAEA : A novel three-stage ensemble model for software defect prediction ', Computers, Materials and Continua, vol. 64, no. 1, pp. 471-499 . https://doi.org/10.32604/CMC.2020.010117
Computers, Materials and Continua, 64(1), 471-499. Tech Science Pressمصطلحات موضوعية: Extreme learning machine, Computer science, Adaboost, 02 engineering and technology, Machine learning, computer.software_genre, Kernel principal component analysis, Biomaterials, Adaptive genetic algorithm, SDG 17 - Partnerships for the Goals, 0202 electrical engineering, electronic engineering, information engineering, AdaBoost, Electrical and Electronic Engineering, Three stage, Ensemble forecasting, business.industry, Search-based software engineering, 020207 software engineering, Computer Science Applications, Nonlinear system, Software bug, Mechanics of Materials, Modeling and Simulation, 020201 artificial intelligence & image processing, KPCA, Artificial intelligence, business, computer, Software defect prediction
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المؤلفون: Zeynep Behrin Guven Aydin, Ruya Samli
المصدر: Volume: 4, Issue: 1 11-21
Journal of Innovative Science and Engineering
Journal of Innovative Science and Engineering, Vol 4, Iss 1, Pp 11-21 (2020)مصطلحات موضوعية: Software Defect Prediction,McCabe,Halstead,Data Mining,Accuracy,Random Forest, halstead, accuracy, Artificial neural network, Computer science, Mühendislik, Genetic programming, data mining, computer.software_genre, Random forest, software defect prediction, Data set, Naive Bayes classifier, Statistical classification, Engineering, C4.5 algorithm, Software bug, lcsh:TA1-2040, mccabe, Data mining, lcsh:Engineering (General). Civil engineering (General), computer, random forest
وصف الملف: application/pdf
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b1470f0538840479d674c76507805b1
https://doi.org/10.38088/jise.693098 -
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المؤلفون: Shujuan Jiang, Li Jiang, Lina Gong
المصدر: IEEE Access, Vol 8, Pp 150738-150749 (2020)
مصطلحات موضوعية: Software defect prediction (SDP), Discriminator, General Computer Science, Computer science, business.industry, domain adaptation, Feature vector, General Engineering, Context (language use), Machine learning, computer.software_genre, Field (computer science), ComputingMethodologies_PATTERNRECOGNITION, heterogeneous defect prediction (HDP), Classifier (linguistics), Metric (mathematics), General Materials Science, Artificial intelligence, lcsh:Electrical engineering. Electronics. Nuclear engineering, generative adversarial networks, Transfer of learning, business, computer, lcsh:TK1-9971, Generator (mathematics)