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All issues Volume 43 / No 3 (June 2025) JNWPU, 43 3 (2025) 600-609 References
Open Access
Issue
JNWPU
Volume 43, Number 3, June 2025
Page(s) 600 - 609
DOI https://doi.org/10.1051/jnwpu/20254330600
Published online 11 August 2025
  1. ZHOU J, ZHANG M X. Survey on trustworthy software evaluation[J]. Application Research of Computers, 2012, 29(10): 3609–3613 [Google Scholar]
  2. LIU Ke, SHAN Zhiguang, WANG Ji, et al. Overview on major research plan of trustworthy software[J]. Bulletin of National Natural Science Foundation of China, 2008(3): 145–151 (in Chinese) [Google Scholar]
  3. LANG Bo, LIU Xudong, WANG Huaimin, et al. A classification model for software trustworthiness[J]. Journal of Frontiers of Computer Science and Technology, 2010, 4(3): 231–239 (in Chinese) [Google Scholar]
  4. LI S, LIU S. A software tool to support scenario-based formal specification for error prevention[J]. Lecture Notes in Computer Science, 2018, 10795: 187–199 [Google Scholar]
  5. WANG P, LIU S, LIU A Z F. A framework for modeling and detecting security vulnerabilities in human-machine pair programming[J]. Journal of Internet Technology, 2022, 23(5): 1129–1138 [Google Scholar]
  6. SCHUBERT P D, NIXDORF H, HERMANN B, et al. Lossless, persisted summarization of static callgraph, points-to and data-flow analysis[C]//Leibniz International Proceedings in Informatics, 2021 [Google Scholar]
  7. WANG P, LIU S, JIANG L W. Detecting security vulnerabilities with vulnerability nets[J]. The Journal of Systems and Software, 2024, 208: 111902 [Google Scholar]
  8. DAI Yujun, LIU Shaoying, XU Guangquan. Enhancing human-machine pair inspection with risk number and code inspection diagram[J]. Software Quality Journal, 2024, 32(3): 939–959 [Google Scholar]
  9. PAN Sen, LIN Yun, PENG Xin, et al. Visualised product quality monitoring tool based on software development process data[J]. Computer Applications and Software, 2015, 32(9): 8–12 (in Chinese) [Google Scholar]
  10. RONCHIERI E, CANAPARO M. A software quality predictive model[C]//International Conference on Software Engineering and Applications, 2013 [Google Scholar]
  11. BIELIKOVÁ M, POLÁŠEK I, BARLA M, et al. Platform independent software development monitoring: design of an architecture[J]. Lecture Notes in Computer Science, 2014, 8327: 126–137 [Google Scholar]
  12. ALLAMANIS M, BROCKSCHMIDT M, KHADEMI M. Learning to represent programs with graphs[C]//6th International Conference on Learning Representations, 2018 [Google Scholar]
  13. LAL H, PAHWA G. Code review analysis of software system using machine learning techniques[C]//2017 11th International Conference on Intelligent Systems and Control, 2017 [Google Scholar]
  14. SZABÓ Z, BILICKI V. A new approach to web application security: utilizing GPT language models for source code inspection[J]. Future Internet, 2023, 15(10): 326 [Google Scholar]
  15. GUPTA R, PAL S, KANADE A, et al. Deepfix: fixing common C language errors by deep learning[C]//National Conference on Artificial Intelligence, 2017 [Google Scholar]
  16. AHMED T, LEDESMA N R, DEVANBU P. Synshine: improved fixing of syntax errors[J]. IEEE Trans on Software Engineering, 2021, 49: 2169–2181 [Google Scholar]

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