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  • A family of experiments about how developers perceive delayed system response time

    Oscar Cornejo,Daniela Briola,Daniela Micucci et al.

    Software quality journal. 2024;32(2):567-605. DOI:10.1007/s11219-024-09660-w
  • Ergo, SMIRK is safe: a safety case for a machine learning component in a pedestrian automatic emergency brake system
    因此，SMIRK是安全的：人行横道自动紧急制动系统中机器学习组件的安全案例分析

    Markus Borg,Jens Henriksson,Kasper Socha et al.

    Software quality journal. 2023 Mar 1:1-69. DOI:10.1007/s11219-022-09613-1
  • Editorial
    编者按

    Christophe Gaston,Nikolai Kosmatov,Pascale Le Gall

    Software quality journal. 2022;30(1):1-2. DOI:10.1007/s11219-022-09590-5
  • Machine learning for mHealth apps quality evaluation: An approach based on user feedback analysis
    基于用户反馈分析的移动医疗应用质量评估的机器学习方法研究

    Mariem Haoues,Raouia Mokni,Asma Sellami

    Software quality journal. 2023 May 23:1-31. DOI:10.1007/s11219-023-09630-8
  • An empirical investigation on the challenges of creating custom static analysis rules for defect localization
    关于创建缺陷定位的定制化静态规则的研究挑战研究

    Diogo S Mendonça,Marcos Kalinowski

    Software quality journal. 2022;30(3):781-808. DOI:10.1007/s11219-021-09580-z
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