Search Results - "software reliability"

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  1. 1

    An Empirical Study of Bugs in Machine Learning Systems by Thung, Ferdian, Wang, Shaowei, Lo, David, Jiang, Lingxiao

    ISBN: 9781467346382, 1467346381
    ISSN: 1071-9458
    Published: IEEE 01.11.2012
    “…Many machine learning systems that include various data mining, information retrieval, and natural language processing code and libraries are used in real…”
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    Conference Proceeding
  2. 2

    AMZ Driverless: The full autonomous racing system by Kabzan, Juraj, Valls, Miguel I., Reijgwart, Victor J. F., Hendrikx, Hubertus F. C., Ehmke, Claas, Prajapat, Manish, Bühler, Andreas, Gosala, Nikhil, Gupta, Mehak, Sivanesan, Ramya, Dhall, Ankit, Chisari, Eugenio, Karnchanachari, Napat, Brits, Sonja, Dangel, Manuel, Sa, Inkyu, Dubé, Renaud, Gawel, Abel, Pfeiffer, Mark, Liniger, Alexander, Lygeros, John, Siegwart, Roland

    ISSN: 1556-4959, 1556-4967
    Published: Hoboken Wiley Subscription Services, Inc 01.10.2020
    Published in Journal of field robotics (01.10.2020)
    “…This paper presents the algorithms and system architecture of an autonomous racecar. The introduced vehicle is powered by a software stack designed for…”
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    Journal Article
  3. 3

    ELS algorithm for estimating open source software reliability with masked data considering both fault detection and correction processes by Yang, Jianfeng, Zhao, Ming, Chen, Jing

    ISSN: 0361-0926, 1532-415X, 1532-415X
    Published: Philadelphia Taylor & Francis 02.10.2022
    “…Masked data are the system failure data when the exact cause of the failures might be unknown. That is, the cause of the system failures may be any one of the…”
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    Journal Article
  4. 4

    18th IEEE International Conference on Software Quality, Reliability, and Security (QRS 2018) and 4th International Symposium on System and Software Reliability (ISSSR 2018)

    ISSN: 0018-9529, 1558-1721
    Published: New York IEEE 01.03.2018
    Published in IEEE transactions on reliability (01.03.2018)
    “…Describes the above-named upcoming conference event. May include topics to be covered or calls for papers…”
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    Journal Article
  5. 5

    NHPP software reliability model considering the uncertainty of operating environments with imperfect debugging and testing coverage by Li, Qiuying, Pham, Hoang

    ISSN: 0307-904X, 1088-8691, 0307-904X
    Published: New York Elsevier Inc 01.11.2017
    Published in Applied Mathematical Modelling (01.11.2017)
    “…• The uncertainty of operating environments and imperfect debugging are considered.• Fault detection rate is based on testing coverage and the model is based…”
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    Journal Article
  6. 6

    Software Testing With Large Language Models: Survey, Landscape, and Vision by Wang, Junjie, Huang, Yuchao, Chen, Chunyang, Liu, Zhe, Wang, Song, Wang, Qing

    ISSN: 0098-5589, 1939-3520
    Published: New York IEEE 01.04.2024
    Published in IEEE transactions on software engineering (01.04.2024)
    “…Pre-trained large language models (LLMs) have recently emerged as a breakthrough technology in natural language processing and artificial intelligence, with…”
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    Journal Article
  7. 7

    Two Dimensional Multi-Release Software Reliability Modeling and Optimal Release Planning by Kapur, P. K., Pham, H., Aggarwal, A. G., Kaur, G.

    ISSN: 0018-9529, 1558-1721
    Published: New York IEEE 01.09.2012
    Published in IEEE transactions on reliability (01.09.2012)
    “…Long-lived software systems evolve through new product releases, which involve up-gradation of previous released versions of the software in the market. But,…”
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    Journal Article
  8. 8

    Comparing the reliability of software systems: A case study on mobile operating systems by Ivanov, Vladimir, Reznik, Alexey, Succi, Giancarlo

    ISSN: 0020-0255, 1872-6291
    Published: Elsevier Inc 01.01.2018
    Published in Information sciences (01.01.2018)
    “…Assessment of software reliability is inevitable in modern software production process. Many works aimed at better models for measurement and prediction of…”
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    Journal Article
  9. 9

    Software for dependable systems : sufficient evidence? by National Research Council (U.S.). Committee on Certifiably Dependable Software Systems, Jackson, Daniel, Thomas, Martyn, Millett, Lynette I.

    ISBN: 9780309103947, 0309103940
    Published: Washington, D.C National Academies Press 2007
    “…The focus of Software for Dependable Systems is a set of fundamental principles that underlie software system dependability and that suggest a different…”
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    eBook Book
  10. 10

    A systematic review on software reliability prediction via swarm intelligence algorithms by Li Sheng Kong, Muhammed Basheer Jasser, Samuel-Soma M. Ajibade, Ali Wagdy Mohamed

    ISSN: 1319-1578
    Published: Springer 01.09.2024
    “…The widespread integration of software into all parts of our lives has led to the need for software of higher reliability. Ensuring reliable software usually…”
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    Journal Article
  11. 11

    Are code examples on an online Q&A forum reliable?: a study of API misuse on stack overflow by Zhang, Tianyi, Upadhyaya, Ganesha, Reinhardt, Anastasia, Rajan, Hridesh, Kim, Miryung

    ISBN: 9781450356381, 1450356389
    ISSN: 1558-1225
    Published: New York, NY, USA ACM 27.05.2018
    “…Programmers often consult an online Q&A forum such as Stack Overflow to learn new APIs. This paper presents an empirical study on the prevalence and severity…”
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    Conference Proceeding
  12. 12

    Software Reliability Prediction by Adaptive Gated Recurrent Unit‐Based Encoder‐Decoder Model With Ensemble Empirical Mode Decomposition by Yang, Minghao, Yang, Shunkun, Bian, Chong

    ISSN: 0960-0833, 1099-1689
    Published: Chichester Wiley Subscription Services, Inc 01.12.2024
    “…ABSTRACT Accurate software reliability prediction is significant to software quality assurance. However, the rapid development and evolution of modern software…”
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    Journal Article
  13. 13

    Bivariate change-point modeling for software reliability assessment with uncertainty of testing-environment factor by Inoue, Shinji, Ikeda, Jun, Yamada, Shigeru

    ISSN: 0254-5330, 1572-9338
    Published: New York Springer US 01.09.2016
    Published in Annals of operations research (01.09.2016)
    “…We observe a phenomenon that the probabilistic characteristic of software failure-occurrence time-interval change notably in an actual testing-phase of a…”
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    Journal Article
  14. 14

    Machine learning based phishing detection from URLs by Sahingoz, Ozgur Koray, Buber, Ebubekir, Demir, Onder, Diri, Banu

    ISSN: 0957-4174, 1873-6793
    Published: New York Elsevier Ltd 01.03.2019
    Published in Expert systems with applications (01.03.2019)
    “…•Use of 7 different classification algorithms and NLP based features.•A Big URL Data Set is produced and shared (36,400 legitimate and 37,175…”
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    Journal Article
  15. 15

    Software Vulnerability Detection Using Deep Neural Networks: A Survey by Lin, Guanjun, Wen, Sheng, Han, Qing-Long, Zhang, Jun, Xiang, Yang

    ISSN: 0018-9219, 1558-2256
    Published: New York IEEE 01.10.2020
    Published in Proceedings of the IEEE (01.10.2020)
    “…The constantly increasing number of disclosed security vulnerabilities have become an important concern in the software industry and in the field of…”
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    Journal Article
  16. 16

    Redefining software reliability modeling: embracing fault-dependency, imperfect removal, and maximum fault considerations by Samal, Umashankar, Kumar, Ajay

    ISSN: 0898-2112, 1532-4222
    Published: Milwaukee Taylor & Francis 02.07.2024
    Published in Quality engineering (02.07.2024)
    “…Software reliability is a critical aspect of ensuring the quality and dependability of software systems. However, existing software reliability models often…”
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    Journal Article
  17. 17

    Bugs in machine learning-based systems: a faultload benchmark by Morovati, Mohammad Mehdi, Nikanjam, Amin, Khomh, Foutse, Jiang, Zhen Ming (Jack)

    ISSN: 1382-3256, 1573-7616
    Published: New York Springer US 01.06.2023
    “…The rapid escalation of applying Machine Learning (ML) in various domains has led to paying more attention to the quality of ML components. There is then a…”
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    Journal Article
  18. 18

    Research on the software reliability quantitative evaluation of nuclear power plant digital control system based on non-homogeneous poisson process model by Zhang, Qing, Ma, Quan, Liu, Mingxing, Zhong, Ke, Xu, Biao, Wu, Liyin

    ISSN: 0306-4549, 1873-2100
    Published: Elsevier Ltd 01.09.2020
    Published in Annals of nuclear energy (01.09.2020)
    “…•A reliability evaluation method of software in NPP DCS is proposed.•TheSRGM and software failures detected in V&V are combined to assess reliability.•The BBNs…”
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    Journal Article
  19. 19

    Reliability analysis and allocation: Development of a hierarchical structure modeling platform in I&C system Software Life Cycle by Zou, Bowen, Yang, Ming, Yang, Jun, Guo, Jia, Su, Yanqin, Zhang, Chao, Wang, Wenlin

    ISSN: 0029-5493, 1872-759X
    Published: Amsterdam Elsevier B.V 01.03.2018
    Published in Nuclear engineering and design (01.03.2018)
    “…A Software Life Cycle (SLC) is used to describe the phases of software cycle and ensure the good quality software is built. A Software Reliability Hierarchical…”
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    Journal Article
  20. 20

    High-Speed Drone Detection Based On Yolo-V8 by Kim, Jun-Hwa, Kim, Namho, Won, Chee Sun

    ISSN: 2379-190X
    Published: IEEE 04.06.2023
    “…Detecting drones in a video is a challenging problem due to their dynamic movements and varying range of scales. Moreover, since drone detection is often…”
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    Conference Proceeding