• 37 Citations
  • 4 h-Index
20162018
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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.

Inspection Engineering & Materials Science
Taxonomies Engineering & Materials Science
Human Error Mathematics
Requirements engineering Engineering & Materials Science
Software engineering Engineering & Materials Science
human error Social Sciences
Empirical Study Mathematics
Fault detection Engineering & Materials Science

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Research Output 2016 2018

  • 37 Citations
  • 4 h-Index
  • 10 Conference contribution
  • 2 Conference article
  • 1 Article
  • 1 Review article
5 Citations (Scopus)

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., 1 Nov 2018, In : Information and Software Technology. 103, p. 112-124 13 p.

Research output: Contribution to journalReview article

Taxonomies
Requirements engineering
Software engineering
1 Citation (Scopus)

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

Industry
Requirements engineering

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

Requirements engineering
Engineers
Specifications
Planning
Industry
1 Citation (Scopus)

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

Learning systems
Inspection
Classifiers
Consolidation
Learning algorithms
2 Citations (Scopus)

Defect prevention in requirements using human error information: An empirical study

Hu, W., Carver, J. C., Anu, V., Walia, G. & Bradshaw, G., 1 Jan 2017, Requirements Engineering: Foundation for Software Quality - 23rd International Working Conference, REFSQ 2017, Proceedings. Perini, A. & Grünbacher, P. (eds.). Springer Verlag, p. 61-76 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10153 LNCS).

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

Human Error
Empirical Study
Requirements Engineering
Requirements engineering
Defects