Vaibhav K. Anu

Orcid: 0000-0001-8104-4942

According to our database1, Vaibhav K. Anu authored at least 32 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Development of a Software Design Error Taxonomy: A Systematic Literature Review.
SN Comput. Sci., June, 2024

Using software metrics for predicting vulnerable classes in java and python based systems.
Inf. Secur. J. A Glob. Perspect., May, 2024

Solar Weather, Simulation, and AI in Middle School: Developing a Case Study.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

2023
Professional and Capacity Building in K-12 Computer Science Education: A Multi-Faceted Approach.
Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023

Drawing a Computer Scientst: Assessing the Images of the Computer Scientist Among K-8 Teachers.
Proceedings of the IEEE Frontiers in Education Conference, 2023

2022
Management of Implicit Requirements Data in Large SRS Documents: Taxonomy and Techniques.
SIGMOD Rec., 2022

Information security governance metrics: a survey and taxonomy.
Inf. Secur. J. A Glob. Perspect., 2022

2021
Cloud Computing Security Challenges and Related Defensive Measures: A Survey and Taxonomy.
SN Comput. Sci., 2021

Using software metrics for predicting vulnerable classes and methods in Java projects: A machine learning approach.
J. Softw. Evol. Process., 2021

Digital Evidence Data Collection: Cloud Challenges.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Text Mining Algorithms for Cancer Diagnostics.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Automating the Classification of Requirements Data.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
A Human Error Based Approach to Understanding Programmer-Induced Software Vulnerabilities.
Proceedings of the 2020 IEEE International Symposium on Software Reliability Engineering Workshops, 2020

Using Commonsense Knowledge and Text Mining for Implicit Requirements Localization.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Graph Based CIA in Requirements Engineering.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Developing and Evaluating Learning Materials to Introduce Human Error Concepts in Software Engineering Courses: Results from Industry and Academia.
Proceedings of the IEEE Frontiers in Education Conference, 2019

Using Software Metrics for Predicting Vulnerable Code-Components: A Study on Java and Python Open Source Projects.
Proceedings of the 2019 IEEE International Conference on Computational Science and Engineering, 2019

Identifying Implicit Requirements in SRS Big Data.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Development of a human error taxonomy for software requirements: A systematic literature review.
Inf. Softw. Technol., 2018

Using human error information for error prevention.
Empir. Softw. Eng., 2018

Training Industry Practitioners to Investigate the Human Error Causes of Requirements Faults.
Proceedings of the 2018 IEEE International Symposium on Software Reliability Engineering Workshops, 2018

Validating Requirements Reviews by Introducing Fault-Type Level Granularity: A Machine Learning Approach.
Proceedings of the 11th Innovations in Software Engineering Conference, ISEC 2018, Hyderabad, India, February 09, 2018

2017
Incorporating Human Error Education into Software Engineering Courses via Error-based Inspections.
Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, 2017

Understanding Human Errors In Software Requirements: An Online Survey.
Proceedings of the Joint Proceedings of REFSQ-2017 Workshops, 2017

Defect Prevention in Requirements Using Human Error Information: An Empirical Study.
Proceedings of the Requirements Engineering: Foundation for Software Quality, 2017

Using Human Error Abstraction Method for Detecting and Classifying Requirements Errors: A Live Study.
Proceedings of the Joint Proceedings of REFSQ-2017 Workshops, 2017

Usefulness of a Human Error Identification Tool for Requirements Inspection: An Experience Report.
Proceedings of the Requirements Engineering: Foundation for Software Quality, 2017

Issues and Opportunities for Human Error-Based Requirements Inspections: An Exploratory Study.
Proceedings of the 2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2017

2016
Effectiveness of Human Error Taxonomy during Requirements Inspection: An Empirical Investigation.
Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering, 2016

Error Abstraction Accuracy and Fixation during Error-Based Requirements Inspections.
Proceedings of the 2016 IEEE International Symposium on Software Reliability Engineering Workshops, 2016

Using a Cognitive Psychology Perspective on Errors to Improve Requirements Quality: An Empirical Investigation.
Proceedings of the 27th IEEE International Symposium on Software Reliability Engineering, 2016

Detection of Requirement Errors and Faults via a Human Error Taxonomy: A Feasibility Study.
Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2016


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