Vijay Walunj

According to our database, Vijay Walunj authored at least 9 papers between 2019 and 2022.

Collaborative distances:

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

2022

Defect prediction using deep learning with Network Portrait Divergence for software evolution.

Vijay Walunj, Gharib Gharibi, Rakan Alanazi, Yugyung Lee

Empir. Softw. Eng., 2022

A fine-grained data set and analysis of tangling in bug fixing commits.

Steffen Herbold, Alexander Trautsch, Benjamin Ledel, Alireza Aghamohammadi, Taher Ahmed Ghaleb, Kuljit Kaur Chahal, Tim Bossenmaier, Bhaveet Nagaria, Philip Makedonski, Matin Nili Ahmadabadi, Kristof Szabados, Helge Spieker, Matej Madeja, Nathaniel Hoy, Valentina Lenarduzzi, Shangwen Wang, Gema Rodríguez-Pérez, Ricardo Colomo Palacios, Roberto Verdecchia, Paramvir Singh, Yihao Qin, Debasish Chakroborti, Willard Davis, Vijay Walunj, Hongjun Wu, Diego Marcilio, Omar Alam, Abdullah Aldaeej, Idan Amit, Burak Turhan, Simon Eismann, Anna-Katharina Wickert, Ivano Malavolta, Matús Sulír, Fatemeh H. Fard, Austin Z. Henley, Stratos Kourtzanidis, Eray Tuzun, Christoph Treude, Simin Maleki Shamasbi, Ivan Pashchenko, Marvin Wyrich, James Davis, Alexander Serebrenik, Ella Albrecht, Ethem Utku Aktas, Daniel Strüber, Johannes Erbel

Empir. Softw. Eng., 2022

2021

Automated end-to-end management of the modeling lifecycle in deep learning.

Gharib Gharibi, Vijay Walunj, Raju Nekadi, Raj Marri, Yugyung Lee

Empir. Softw. Eng., 2021

2020

Large-Scale Manual Validation of Bug Fixing Commits: A Fine-grained Analysis of Tangling.

Steffen Herbold, Alexander Trautsch, Benjamin Ledel, Alireza Aghamohammadi, Taher Ahmed Ghaleb, Kuljit Kaur Chahal, Tim Bossenmaier, Bhaveet Nagaria, Philip Makedonski, Matin Nili Ahmadabadi, Kristóf Szabados, Helge Spieker, Matej Madeja, Nathaniel Hoy, Valentina Lenarduzzi, Shangwen Wang, Gema Rodríguez-Pérez, Ricardo Colomo Palacios, Roberto Verdecchia, Paramvir Singh, Yihao Qin, Debasish Chakroborti, Willard Davis, Vijay Walunj, Hongjun Wu, Diego Marcilio, Omar Alam, Abdullah Aldaeej, Idan Amit, Burak Turhan, Simon Eismann, Anna-Katharina Wickert, Ivano Malavolta, Matús Sulír, Fatemeh H. Fard, Austin Z. Henley, Stratos Kourtzanidis, Eray Tuzun, Christoph Treude, Simin Maleki Shamasbi, Ivan Pashchenko, Marvin Wyrich, James Davis, Alexander Serebrenik, Ella Albrecht, Ethem Utku Aktas, Daniel Strüber, Johannes Erbel

CoRR, 2020

Secure5G: A Deep Learning Framework Towards a Secure Network Slicing in 5G and Beyond.

Anurag Thantharate, Rahul Arun Paropkari, Vijay Walunj, Cory C. Beard, Poonam Kankariya

Proceedings of the 10th Annual Computing and Communication Workshop and Conference, 2020

2019

DeepSlice: A Deep Learning Approach towards an Efficient and Reliable Network Slicing in 5G Networks.

Anurag Thantharate, Rahul Arun Paropkari, Vijay Walunj, Cory C. Beard

Proceedings of the 10th IEEE Annual Ubiquitous Computing, 2019

Automated Management of Deep Learning Experiments.

Gharib Gharibi, Vijay Walunj, Rakan Alanazi, Sirisha Rella, Yugyung Lee

Proceedings of the 3rd International Workshop on Data Management for End-to-End Machine Learning, 2019

ModelKB: towards automated management of the modeling lifecycle in deep learning.

Gharib Gharibi, Vijay Walunj, Sirisha Rella, Yugyung Lee

Proceedings of the 7th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, 2019

GraphEvo: Characterizing and Understanding Software Evolution using Call Graphs.

Vijay Walunj, Gharib Gharibi, Duy H. Ho, Yugyung Lee

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019