• 40 Citations
  • 4 h-Index
20162019

Research output per year

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Fingerprint Dive into the research topics where Vaibhav Anu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Research Output

  • 40 Citations
  • 4 h-Index
  • 11 Conference contribution
  • 2 Conference article
  • 1 Article
  • 1 Review article

Using software metrics for predicting vulnerable code-components: A study on java and python open source projects

Chong, T. Y., Anu, V. & Sultana, K. Z., Aug 2019, Proceedings - 22nd IEEE International Conference on Computational Science and Engineering and 17th IEEE International Conference on Embedded and Ubiquitous Computing, CSE/EUC 2019. Qiu, M. (ed.). Institute of Electrical and Electronics Engineers Inc., p. 98-103 6 p. 8919513. (Proceedings - 22nd IEEE International Conference on Computational Science and Engineering and 17th IEEE International Conference on Embedded and Ubiquitous Computing, CSE/EUC 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Development of a human error taxonomy for software requirements: A systematic literature review

    Anu, V., Hu, W., Carver, J. C., Walia, G. S. & Bradshaw, G., Nov 2018, In : Information and Software Technology. 103, p. 112-124 13 p.

    Research output: Contribution to journalReview article

  • 6 Scopus citations

    Training Industry Practitioners to Investigate the Human Error Causes of Requirements Faults

    Manjunath, K., Anu, V., Walia, G. & Bradshaw, G., 16 Nov 2018, Proceedings - 29th IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2018. Natella, R., Ghosh, S., Laranjeiro, N., Poston, R. & Cukic, B. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 53-58 6 p. 8539163. (Proceedings - 29th IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2018).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 1 Scopus citations

    Using human error information for error prevention

    Hu, W., Carver, J. C., Anu, V., Walia, G. S. & Bradshaw, G. L., 1 Dec 2018, In : Empirical Software Engineering. 23, 6, p. 3768-3800 33 p.

    Research output: Contribution to journalArticle

  • Validating requirements reviews by introducing fault-type level granularity: A machine learning approach

    Singh, M., Anu, V., Walia, G. S. & Goswami, A., 9 Feb 2018, iSOFT - Proceedings of the 11th Innovations in Software Engineering Conference, ISEC 2018. Association for Computing Machinery, a10. (ACM International Conference Proceeding Series).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 1 Scopus citations