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Vaibhav Anu
Vaibhav Anu
Assistant Professor of Computer Science, Montclair State University
Verified email at montclair.edu - Homepage
Title
Cited by
Cited by
Year
Development of a human error taxonomy for software requirements: A systematic literature review
V Anu, W Hu, JC Carver, GS Walia, G Bradshaw
Information and Software Technology 103, 112-124, 2018
712018
Using a cognitive psychology perspective on errors to improve requirements quality: An empirical investigation
V Anu, G Walia, W Hu, JC Carver, G Bradshaw
2016 IEEE 27th International Symposium on Software Reliability Engineering …, 2016
342016
Using software metrics for predicting vulnerable classes and methods in Java projects: A machine learning approach
KZ Sultana, V Anu, TY Chong
Journal of Software: Evolution and Process 33 (3), e2303, 2021
322021
Detection of requirement errors and faults via a human error taxonomy: a feasibility study
W Hu, JC Carver, VK Anu, GS Walia, G Bradshaw
Proceedings of the 10th ACM/IEEE International Symposium on Empirical …, 2016
262016
Using human error information for error prevention
W Hu, JC Carver, V Anu, GS Walia, GL Bradshaw
Empirical Software Engineering 23 (6), 3768-3800, 2018
232018
Effectiveness of Human Error Taxonomy during Requirements Inspection: An Empirical Investigation
V Anu, G Walia, W Hu, JC Carver, G Bradshaw
2016 International Conference on Software Engineering and Knowledge …, 2016
222016
Validating requirements reviews by introducing fault-type level granularity: A machine learning approach
M Singh, V Anu, GS Walia, A Goswami
Proceedings of the 11th Innovations in Software Engineering Conference, 1-11, 2018
202018
Incorporating human error education into software engineering courses via error-based inspections
V Anu, G Walia, G Bradshaw
Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science …, 2017
192017
Defect prevention in requirements using human error information: An empirical study
W Hu, JC Carver, V Anu, G Walia, G Bradshaw
Requirements Engineering: Foundation for Software Quality: 23rd …, 2017
162017
Information security governance metrics: a survey and taxonomy
V Anu
Information Security Journal: A Global Perspective 31 (4), 466-478, 2022
142022
Using commonsense knowledge and text mining for implicit requirements localization
E Onyeka, AS Varde, V Anu, N Tandon, O Daramola
2020 IEEE 32nd International Conference on Tools with Artificial …, 2020
142020
Usefulness of a human error identification tool for requirements inspection: An experience report
V Anu, G Walia, G Bradshaw, W Hu, JC Carver
Requirements Engineering: Foundation for Software Quality: 23rd …, 2017
132017
A human error based approach to understanding programmer-induced software vulnerabilities
V Anu, KZ Sultana, BK Samanthula
2020 IEEE International Symposium on Software Reliability Engineering …, 2020
112020
Identifying implicit requirements in SRS big data
E Onyeka, V Anu, AS Varde
2019 IEEE International Conference on Big Data (Big Data), 6169-6171, 2019
102019
Cloud computing security challenges and related defensive measures: A survey and taxonomy
N Chuka-Maduji, V Anu
SN Computer Science 2 (4), 331, 2021
92021
Mitigating remote code execution vulnerabilities: A study on tomcat and android security updates
S Bier, B Fajardo, O Ezeadum, G Guzman, KZ Sultana, V Anu
2021 IEEE International IOT, Electronics and Mechatronics Conference …, 2021
92021
Issues and opportunities for human error-based requirements inspections: an exploratory study
V Anu, G Walia, W Hu, JC Carver, G Bradshaw
2017 ACM/IEEE International Symposium on Empirical Software Engineering and …, 2017
82017
Management of Implicit Requirements Data in Large SRS Documents: Taxonomy and Techniques
D Dave, A Celestino, AS Varde, V Anu
ACM SIGMOD Record 51 (2), 18-29, 2022
72022
Using Human Error Abstraction Method for Detecting and Classifying Requirements Errors: A Live Study.
VK Anu, GS Walia, GL Bradshaw, W Hu, JC Carver
REFSQ Workshops, 2017
72017
Error abstraction accuracy and fixation during error-based requirements inspections
V Anu, G Walia, W Hu, JC Carver, G Bradshaw
2016 IEEE International Symposium on Software Reliability Engineering …, 2016
72016
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