Artykuły w czasopismach na temat „Software defects”
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Malhotra, Ruchika, i Juhi Jain. "Predicting Software Defects for Object-Oriented Software Using Search-based Techniques". International Journal of Software Engineering and Knowledge Engineering 31, nr 02 (luty 2021): 193–215. http://dx.doi.org/10.1142/s0218194021500054.
Pełny tekst źródłaKumaresh, Sakthi, i Ramachandran Baskaran. "Mining Software Repositories for Defect Categorization". Journal of Communications Software and Systems 11, nr 1 (23.03.2015): 31. http://dx.doi.org/10.24138/jcomss.v11i1.115.
Pełny tekst źródłaZhang, Wei, Zhen Yu Ma, Wen Ge Zhang, Qing Ling Lu i Xiao Bing Nie. "Correlation Analysis of Software Defects Density and Metrics". Applied Mechanics and Materials 713-715 (styczeń 2015): 2225–28. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.2225.
Pełny tekst źródłaHenderson, Craig. "Managing software defects". ACM SIGSOFT Software Engineering Notes 33, nr 4 (lipiec 2008): 1–3. http://dx.doi.org/10.1145/1384139.1384141.
Pełny tekst źródłaHan, Wan Jiang, He Yang Jiang, Yi Sun i Tian Bo Lu. "Software Defect Distribution Prediction for BOSS System". Applied Mechanics and Materials 701-702 (grudzień 2014): 67–70. http://dx.doi.org/10.4028/www.scientific.net/amm.701-702.67.
Pełny tekst źródłaHuh, Sang Moo, i Woo-Je Kim. "The Derivation of Defect Priorities and Core Defects through Impact Relationship Analysis between Embedded Software Defects". Applied Sciences 10, nr 19 (4.10.2020): 6946. http://dx.doi.org/10.3390/app10196946.
Pełny tekst źródłaKumaresh, Sakthi, i R. Baskaran. "Software Defect Prevention through Orthogonal Defect Classification (ODC)". INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 11, nr 3 (15.10.2013): 2393–400. http://dx.doi.org/10.24297/ijct.v11i3.1166.
Pełny tekst źródłaPark, Jihyun, i Byoungju Choi. "Automatic Method for Distinguishing Hardware and Software Faults Based on Software Execution Data and Hardware Performance Counters". Electronics 9, nr 11 (2.11.2020): 1815. http://dx.doi.org/10.3390/electronics9111815.
Pełny tekst źródłaFalessi, Davide, Aalok Ahluwalia i 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, nr 1 (31.01.2022): 1–26. http://dx.doi.org/10.1145/3467895.
Pełny tekst źródłaPagadala, Srivyshnavi, Sony Bathala i B. Uma. "An Efficient Predictive Paradigm for Software Reliability". Asian Journal of Computer Science and Technology 8, S3 (5.06.2019): 114–16. http://dx.doi.org/10.51983/ajcst-2019.8.s3.2051.
Pełny tekst źródłaKumar, Swadesh, Rajesh Kumar Singh i Awadhesh Kumar Maurya. "Software Defect Prediction: State of the Art Survey". International Journal of Innovative Technology and Exploring Engineering 11, nr 7 (30.06.2022): 32–35. http://dx.doi.org/10.35940/ijitee.g9993.0611722.
Pełny tekst źródłaMisirli, Ayse Tosun, Ayse Bener i Resat Kale. "AI-Based Software Defect Predictors: Applications and Benefits in a Case Study". AI Magazine 32, nr 2 (5.06.2011): 57. http://dx.doi.org/10.1609/aimag.v32i2.2348.
Pełny tekst źródłaTosun, Ayse, Ayse Bener i Resat Kale. "AI-Based Software Defect Predictors: Applications and Benefits in a Case Study". Proceedings of the AAAI Conference on Artificial Intelligence 24, nr 2 (11.07.2010): 1748–55. http://dx.doi.org/10.1609/aaai.v24i2.18807.
Pełny tekst źródłaChou, Chen-Huei. "Metrics in Evaluating Software Defects". International Journal of Computer Applications 63, nr 3 (15.02.2013): 23–29. http://dx.doi.org/10.5120/10447-5147.
Pełny tekst źródłaAnurag, Abhishek, i R. Kamatchi. "A Case Study on Defining a “Quality Algorithm” Based on Correlation between ‘Existing Quality Model, Different Attributes of Defects & Tests’". International Journal of Engineering & Technology 7, nr 3.4 (25.06.2018): 235. http://dx.doi.org/10.14419/ijet.v7i3.4.16781.
Pełny tekst źródłaBowes, David, Tracy Hall i Jean Petrić. "Software defect prediction: do different classifiers find the same defects?" Software Quality Journal 26, nr 2 (7.02.2017): 525–52. http://dx.doi.org/10.1007/s11219-016-9353-3.
Pełny tekst źródłaRana, Rajni, i Dr P. K. Suri. "A Comparative Analysis of Different Clustering Approaches for Software Process Improvement". INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY 5, nr 1 (15.08.2013): 404–10. http://dx.doi.org/10.24297/ijmit.v5i1.4500.
Pełny tekst źródłaAlyahya, Sultan. "Collaborative Crowdsourced Software Testing". Electronics 11, nr 20 (17.10.2022): 3340. http://dx.doi.org/10.3390/electronics11203340.
Pełny tekst źródłaWang, Yi Chen, i Yi Kun Wang. "Solution of Software Test of Computerized Numerical Control (CNC) Systems". Applied Mechanics and Materials 66-68 (lipiec 2011): 1256–59. http://dx.doi.org/10.4028/www.scientific.net/amm.66-68.1256.
Pełny tekst źródłaSCHNEIDEWIND, NORMAN. "COMPLEXITY-DRIVEN RELIABILITY MODEL". International Journal of Reliability, Quality and Safety Engineering 15, nr 05 (październik 2008): 479–94. http://dx.doi.org/10.1142/s0218539308003179.
Pełny tekst źródłaAlmayyan, Waheeda. "Towards Predicting Software Defects with Clustering Techniques". International Journal of Artificial Intelligence & Applications 12, nr 1 (31.01.2021): 39–54. http://dx.doi.org/10.5121/ijaia.2021.12103.
Pełny tekst źródłaCHANG, CHING-PAO, i CHIH-PING CHU. "SOFTWARE DEFECT PREDICTION USING INTERTRANSACTION ASSOCIATION RULE MINING". International Journal of Software Engineering and Knowledge Engineering 19, nr 06 (wrzesień 2009): 747–64. http://dx.doi.org/10.1142/s0218194009004428.
Pełny tekst źródłaPrasad, V. S., i K. Sasikala. "A Study On Software Engineering Defect Prediction". Data Analytics and Artificial Intelligence 2, nr 1 (1.02.2022): 1–6. http://dx.doi.org/10.46632/daai/2/1/1.
Pełny tekst źródłaLee, Dong-Gun, i Yeong-Seok Seo. "Identification of propagated defects to reduce software testing cost via mutation testing". Mathematical Biosciences and Engineering 19, nr 6 (2022): 6124–40. http://dx.doi.org/10.3934/mbe.2022286.
Pełny tekst źródłaVandehei, Bailey, Daniel Alencar Da Costa i Davide Falessi. "Leveraging the Defects Life Cycle to Label Affected Versions and Defective Classes". ACM Transactions on Software Engineering and Methodology 30, nr 2 (marzec 2021): 1–35. http://dx.doi.org/10.1145/3433928.
Pełny tekst źródłaCHANG, CHING-PAO. "INTEGRATING ACTION-BASED DEFECT PREDICTION TO PROVIDE RECOMMENDATIONS FOR DEFECT ACTION CORRECTION". International Journal of Software Engineering and Knowledge Engineering 23, nr 02 (marzec 2013): 147–72. http://dx.doi.org/10.1142/s0218194013500022.
Pełny tekst źródłaPeng, Xuemei. "Research on Software Defect Prediction and Analysis Based on Machine Learning". Journal of Physics: Conference Series 2173, nr 1 (1.01.2022): 012043. http://dx.doi.org/10.1088/1742-6596/2173/1/012043.
Pełny tekst źródłaShi, Sheng Li, Jin Shi i Rui Wang. "A Prediction Model Based on ISOMAP for Software Defects". Applied Mechanics and Materials 347-350 (sierpień 2013): 3278–82. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.3278.
Pełny tekst źródłaMa, Yanfang, Xiaotong Gao, Wei Zhou i Liang Chen. "The Trustworthiness Measurement Model of Component Based on Defects". Mathematical Problems in Engineering 2022 (12.12.2022): 1–15. http://dx.doi.org/10.1155/2022/7290001.
Pełny tekst źródłaKarnavel, K., i R. Dillibabu. "Development and Application of New Quality Model for Software Projects". Scientific World Journal 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/491246.
Pełny tekst źródłaPankov, D. A. "SEARCH SOFTWARE DEFECTS FOR EMBEDDED SYSTEMS". Applied Mathematics and Fundamental Informatics 5, nr 2 (2018): 071–77. http://dx.doi.org/10.25206/2311-4908-2018-5-2-71-77.
Pełny tekst źródłaHongyu Zhang i Sunghun Kim. "Monitoring Software Quality Evolution for Defects". IEEE Software 27, nr 4 (lipiec 2010): 58–64. http://dx.doi.org/10.1109/ms.2010.66.
Pełny tekst źródłaCouto, Cesar, Pedro Pires, Marco Tulio Valente, Roberto S. Bigonha i Nicolas Anquetil. "Predicting software defects with causality tests". Journal of Systems and Software 93 (lipiec 2014): 24–41. http://dx.doi.org/10.1016/j.jss.2014.01.033.
Pełny tekst źródłaWestland, J. Christopher. "The cost behavior of software defects". Decision Support Systems 37, nr 2 (maj 2004): 229–38. http://dx.doi.org/10.1016/s0167-9236(03)00020-4.
Pełny tekst źródłaAlshazly, Amira A., Ahmed M. Elfatatry i Mohamed S. Abougabal. "Detecting defects in software requirements specification". Alexandria Engineering Journal 53, nr 3 (wrzesień 2014): 513–27. http://dx.doi.org/10.1016/j.aej.2014.06.001.
Pełny tekst źródłaHallem, Seth, David Park i Dawson Engler. "Uprooting Software Defects at the Source". Queue 1, nr 8 (listopad 2003): 64–71. http://dx.doi.org/10.1145/966712.966722.
Pełny tekst źródłaLiu, Zhaohui, Nalini Ravishanker i Bonnie K. Ray. "NHPP models for categorized software defects". Applied Stochastic Models in Business and Industry 21, nr 6 (2005): 509–24. http://dx.doi.org/10.1002/asmb.604.
Pełny tekst źródłaRainsberger, J. B. "Avoiding Defects". IEEE Software 24, nr 2 (marzec 2007): 14–15. http://dx.doi.org/10.1109/ms.2007.34.
Pełny tekst źródłaYANG, CHI-LU, YEIM-KUAN CHANG i CHIH-PING CHU. "AN ANALYSIS OF THE ROOT CAUSES OF DEFECTS INJECTED INTO THE SOFTWARE BY THE SOFTWARE TEAM: AN INDUSTRIAL STUDY OF THE DISTRIBUTED HEALTH-CARE SYSTEM". International Journal of Software Engineering and Knowledge Engineering 23, nr 09 (listopad 2013): 1269–88. http://dx.doi.org/10.1142/s0218194013500393.
Pełny tekst źródłaHimes, Emma. "NHTSA Up in the Clouds: The Formal Recall Process & Over-the-Air Software Updates". Michigan Technology Law Review, nr 28.1 (2021): 153. http://dx.doi.org/10.36645/mtlr.28.1.nhtsa.
Pełny tekst źródłaWang, Yan. "Efficient Prediction Method of Defect of Monitor Configuration Software". Journal of Advanced Computational Intelligence and Intelligent Informatics 23, nr 2 (20.03.2019): 340–44. http://dx.doi.org/10.20965/jaciii.2019.p0340.
Pełny tekst źródłaManivasagam, G., i R. Gunasundari. "An optimized feature selection using fuzzy mutual information based ant colony optimization for software defect prediction". International Journal of Engineering & Technology 7, nr 1.1 (21.12.2017): 456. http://dx.doi.org/10.14419/ijet.v7i1.1.9954.
Pełny tekst źródłaJALOTE, PANKAJ, ASHOK K. MITTAL i RAM GOPAL PRAJAPAT. "ON OPTIMUM MODULE SIZE FOR SOFTWARE INSPECTIONS". International Journal of Reliability, Quality and Safety Engineering 14, nr 03 (czerwiec 2007): 283–95. http://dx.doi.org/10.1142/s0218539307002659.
Pełny tekst źródłaWang, Hong, i Limin Yuan. "Software engineering defect detection and classification system based on artificial intelligence". Nonlinear Engineering 11, nr 1 (1.01.2022): 380–86. http://dx.doi.org/10.1515/nleng-2022-0042.
Pełny tekst źródłaKumudha, P., i R. Venkatesan. "Cost-Sensitive Radial Basis Function Neural Network Classifier for Software Defect Prediction". Scientific World Journal 2016 (2016): 1–20. http://dx.doi.org/10.1155/2016/2401496.
Pełny tekst źródłaWang, Fang. "Software Defect Fault Intelligent Location and Identification Method Based on Data Mining". Journal of Physics: Conference Series 2146, nr 1 (1.01.2022): 012012. http://dx.doi.org/10.1088/1742-6596/2146/1/012012.
Pełny tekst źródłaKrepych, R. V., i S. Y. Krepych. "КОМПЛЕКСНЕ ПРОГРАМНЕ ЗАБЕЗПЕЧЕННЯ ЗБОРУ І ВІЗУАЛІЗАЦІЇ СТАТИСТИКИ ДЕФЕКТІВ ПРОГРАМНИХ ПРОЕКТІВ". Information Technology and Computer Engineering 42, nr 2 (2018): 35–42. http://dx.doi.org/10.31649/1999-9941-2018-42-2-35-42.
Pełny tekst źródłaBejjanki, Kiran Kumar, Jayadev Gyani i Narsimha Gugulothu. "Class Imbalance Reduction (CIR): A Novel Approach to Software Defect Prediction in the Presence of Class Imbalance". Symmetry 12, nr 3 (4.03.2020): 407. http://dx.doi.org/10.3390/sym12030407.
Pełny tekst źródłaHaider, Syed W., João W. Cangussu, Kendra M. L. Cooper, Ram Dantu i Syed Haider. "Estimation of Defects Based on Defect Decay Model: ED^{3}M". IEEE Transactions on Software Engineering 34, nr 3 (maj 2008): 336–56. http://dx.doi.org/10.1109/tse.2008.23.
Pełny tekst źródłaLiu, Can, Sumaya Sanober, Abu Sarwar Zamani, L. Rama Parvathy, Rahul Neware i Abdul Wahab Rahmani. "Defect Prediction Technology in Software Engineering Based on Convolutional Neural Network". Security and Communication Networks 2022 (26.04.2022): 1–8. http://dx.doi.org/10.1155/2022/5058461.
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