Vaibhav K. Anu

According to our database, Vaibhav K. Anu authored at least 30 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Solar Weather, Simulation, and AI in Middle School: Developing a Case Study.

Esther Douglass, Katherine G. Herbert, Vaibhav K. Anu, Thomas J. Marlowe, Sumi Hagiwara

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.

Katherine G. Herbert, Vaibhav K. Anu, Kazi Zakia Sultana, Stefan A. Robila, Jesse Ryan Miller, Sumi Hagiwara, Rebecca A. Goldstein, Thomas J. Marlowe

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.

Minsun Shin, Sumi Hagiwara, Katherine G. Herbert-Berger, Vaibhav K. Anu, Rebecca A. Goldstein, Kazi Zakia Sultana

Proceedings of the IEEE Frontiers in Education Conference, 2023

2022

Management of Implicit Requirements Data in Large SRS Documents: Taxonomy and Techniques.

Dev Dave, Angelica Celestino, Aparna S. Varde, Vaibhav K. Anu

SIGMOD Rec., 2022

Information security governance metrics: a survey and taxonomy.

Vaibhav K. Anu

Inf. Secur. J. A Glob. Perspect., 2022

2021

Cloud Computing Security Challenges and Related Defensive Measures: A Survey and Taxonomy.

Nnamdi Chuka-Maduji, Vaibhav K. Anu

SN Comput. Sci., 2021

Using software metrics for predicting vulnerable classes and methods in Java projects: A machine learning approach.

Kazi Zakia Sultana, Vaibhav K. Anu, Tai-Yin Chong

J. Softw. Evol. Process., 2021

Digital Evidence Data Collection: Cloud Challenges.

Saba Syed, Vaibhav K. Anu

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Text Mining Algorithms for Cancer Diagnostics.

Natasia Fernandez, Vaibhav K. Anu

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Automating the Classification of Requirements Data.

Dev Dave, Vaibhav K. Anu, Aparna S. Varde

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.

Vaibhav K. Anu, Kazi Zakia Sultana, Bharath K. Samanthula

Proceedings of the 2020 IEEE International Symposium on Software Reliability Engineering Workshops, 2020

Using Commonsense Knowledge and Text Mining for Implicit Requirements Localization.

Onyeka Emebo, Aparna S. Varde, Vaibhav K. Anu, Niket Tandon, Olawande J. Daramola

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Graph Based CIA in Requirements Engineering.

Maninder Singh, Vaibhav K. Anu

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.

Vaibhav K. Anu, Gursimran Singh Walia, Gary Bradshaw, Mohammad Alqudah

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.

Tai-Yin Chong, Vaibhav K. Anu, Kazi Zakia Sultana

Proceedings of the 2019 IEEE International Conference on Computational Science and Engineering, 2019

Identifying Implicit Requirements in SRS Big Data.

Onyeka Emebo, Vaibhav K. Anu, Aparna S. Varde

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.

Vaibhav K. Anu, Wenhua Hu, Jeffrey C. Carver, Gursimran S. Walia, Gary Bradshaw

Inf. Softw. Technol., 2018

Using human error information for error prevention.

Wenhua Hu, Jeffrey C. Carver, Vaibhav K. Anu, Gursimran S. Walia, Gary L. Bradshaw

Empir. Softw. Eng., 2018

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

Kavitha Manjunath, Vaibhav K. Anu, Gursimran Singh Walia, Gary Bradshaw

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.

Maninder Singh, Vaibhav K. Anu, Gursimran S. Walia, Anurag Goswami

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.

Vaibhav K. Anu, Gursimran S. Walia, Gary L. Bradshaw

Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, 2017

Understanding Human Errors In Software Requirements: An Online Survey.

Wenhua Hu, Jeffrey C. Carver, Gursimran Singh Walia, Vaibhav K. Anu, Gary L. Bradshaw

Proceedings of the Joint Proceedings of REFSQ-2017 Workshops, 2017

Defect Prevention in Requirements Using Human Error Information: An Empirical Study.

Wenhua Hu, Jeffrey C. Carver, Vaibhav K. Anu, Gursimran Singh Walia, Gary L. Bradshaw

Proceedings of the Requirements Engineering: Foundation for Software Quality, 2017

Using Human Error Abstraction Method for Detecting and Classifying Requirements Errors: A Live Study.

Vaibhav K. Anu, Gursimran Singh Walia, Gary L. Bradshaw, Wenhua Hu, Jeffrey C. Carver

Proceedings of the Joint Proceedings of REFSQ-2017 Workshops, 2017

Usefulness of a Human Error Identification Tool for Requirements Inspection: An Experience Report.

Vaibhav K. Anu, Gursimran Singh Walia, Gary L. Bradshaw, Wenhua Hu, Jeffrey C. Carver

Proceedings of the Requirements Engineering: Foundation for Software Quality, 2017

Issues and Opportunities for Human Error-Based Requirements Inspections: An Exploratory Study.

Vaibhav K. Anu, Gursimran Singh Walia, Wenhua Hu, Jeffrey C. Carver, Gary L. Bradshaw

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.

Vaibhav K. Anu, Gursimran S. Walia, Wenhua Hu, Jeffrey C. Carver, Gary L. Bradshaw

Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering, 2016

Error Abstraction Accuracy and Fixation during Error-Based Requirements Inspections.

Vaibhav K. Anu, Gursimran Singh Walia, Wenhua Hu, Jeffrey C. Carver, Gary L. Bradshaw

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.

Vaibhav K. Anu, Gursimran Singh Walia, Wenhua Hu, Jeffrey C. Carver, Gary L. Bradshaw

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.

Wenhua Hu, Jeffrey C. Carver, Vaibhav K. Anu, Gursimran S. Walia, Gary L. Bradshaw

Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2016