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Publication search results
found 52 matches
- 2024
- Maddila Suresh Kumar, Vadlamani Nagalakshmi:
Secure transfer of robust healthcare data using blockchain-based privacy. Clust. Comput. 27(2): 1275-1291 (2024) - Vadisena Venkata Krishna Reddy, Radha Vijaya Kumar Reddy, Masthan Siva Krishna Munaga, Balaji Karnam, Suresh Kumar Maddila, Chandra Sekhar Kolli:
Deep learning-based credit card fraud detection in federated learning. Expert Syst. Appl. 255: 124493 (2024) - Maddila Suresh Kumar, Vadlamani Nagalakshmi:
A Novel Efficient Hybrid Encryption Algorithm Based on Twofish and Key Generation Using Optimization for Ensuring Data Security in Cloud. J. Inf. Knowl. Manag. 23(1): 2350062:1-2350062:28 (2024) - Vijayaraghavan Murali, Chandra Shekhar Maddila, Imad Ahmad, Michael Bolin, Daniel Cheng, Negar Ghorbani, Renuka Fernandez, Nachiappan Nagappan, Peter C. Rigby:
AI-Assisted Code Authoring at Scale: Fine-Tuning, Deploying, and Mixed Methods Evaluation. Proc. ACM Softw. Eng. 1(FSE): 1066-1085 (2024) - Omer Dunay, Daniel Cheng, Adam Tait, Parth Thakkar, Peter C. Rigby, Andy Chiu, Imad Ahmad, Arun Ganesan, Chandra Shekhar Maddila, Vijayaraghavan Murali, Ali Tayyebi, Nachiappan Nagappan:
Multi-line AI-Assisted Code Authoring. SIGSOFT FSE Companion 2024: 150-160 - Omer Dunay, Daniel Cheng, Adam Tait, Parth Thakkar, Peter C. Rigby, Andy Chiu, Imad Ahmad, Arun Ganesan, Chandra Shekhar Maddila, Vijayaraghavan Murali, Ali Tayyebi, Nachiappan Nagappan:
Multi-line AI-assisted Code Authoring. CoRR abs/2402.04141 (2024) - Chandra Shekhar Maddila, Negar Ghorbani, Kosay Jabre, Vijayaraghavan Murali, Edwin Kim, Parth Thakkar, Nikolay Pavlovich Laptev, Olivia Harman, Diana Hsu, Rui Abreu, Peter C. Rigby:
AI-Assisted SQL Authoring at Industry Scale. CoRR abs/2407.13280 (2024) - 2023
- Chandra Shekhar Maddila, Sai Surya Upadrasta, Chetan Bansal, Nachiappan Nagappan, Georgios Gousios, Arie van Deursen:
Nudge: Accelerating Overdue Pull Requests toward Completion. ACM Trans. Softw. Eng. Methodol. 32(2): 35:1-35:30 (2023) - Jiyang Zhang, Chandra Shekhar Maddila, Ram Bairi, Christian Bird, Ujjwal Raizada, Apoorva Agrawal, Yamini Jhawar, Kim Herzig, Arie van Deursen:
Using Large-scale Heterogeneous Graph Representation Learning for Code Review Recommendations at Microsoft. ICSE-SEIP 2023: 162-172 - Vijayaraghavan Murali, Chandra Shekhar Maddila, Imad Ahmad, Michael Bolin, Daniel Cheng, Negar Ghorbani, Renuka Fernandez, Nachiappan Nagappan:
CodeCompose: A Large-Scale Industrial Deployment of AI-assisted Code Authoring. CoRR abs/2305.12050 (2023) - Peter C. Rigby, Seth Rogers, Sadruddin Saleem, Parth Suresh, Daniel Suskin, Patrick Riggs, Chandra Shekhar Maddila, Nachiappan Nagappan:
Improving Code Reviewer Recommendation: Accuracy, Latency, Workload, and Bystanders. CoRR abs/2312.17169 (2023) - 2022
- Chandra Shekhar Maddila:
Recommender Systems for DevOps. Delft University of Technology, Netherlands, 2022 - Denae Ford, Margaret-Anne D. Storey, Thomas Zimmermann, Christian Bird, Sonia Jaffe, Chandra Shekhar Maddila, Jenna L. Butler, Brian Houck, Nachiappan Nagappan:
A Tale of Two Cities: Software Developers Working from Home during the COVID-19 Pandemic. ACM Trans. Softw. Eng. Methodol. 31(2): 27:1-27:37 (2022) - Chandra Shekhar Maddila, Nachiappan Nagappan, Christian Bird, Georgios Gousios, Arie van Deursen:
ConE: A Concurrent Edit Detection Tool for Large-scale Software Development. ACM Trans. Softw. Eng. Methodol. 31(2): 22:1-22:26 (2022) - Nusrat Zahan, Thomas Zimmermann, Patrice Godefroid, Brendan Murphy, Chandra Shekhar Maddila, Laurie A. Williams:
What are Weak Links in the npm Supply Chain? ICSE (SEIP) 2022: 331-340 - Chandra Shekhar Maddila, Suhas Shanbhogue, Apoorva Agrawal, Thomas Zimmermann, Chetan Bansal, Nicole Forsgren, Divyanshu Agrawal, Kim Herzig, Arie van Deursen:
Nalanda: a socio-technical graph platform for building software analytics tools at enterprise scale. ESEC/SIGSOFT FSE 2022: 1246-1256 - Jiyang Zhang, Chandra Shekhar Maddila, Ram Bairi, Christian Bird, Ujjwal Raizada, Apoorva Agrawal, Yamini Jhawar, Kim Herzig, Arie van Deursen:
Using Large-scale Heterogeneous Graph Representation Learning for Code Review Recommendations. CoRR abs/2202.02385 (2022) - 2021
- Nicole Forsgren, Margaret-Anne D. Storey, Chandra Shekhar Maddila, Thomas Zimmermann, Brian Houck, Jenna L. Butler:
The SPACE of developer productivity. Commun. ACM 64(6): 46-53 (2021) - Nicole Forsgren, Margaret-Anne D. Storey, Chandra Shekhar Maddila, Thomas Zimmermann, Brian Houck, Jenna L. Butler:
The SPACE of Developer Productivity: There's more to it than you think. ACM Queue 19(1): 20-48 (2021) - Shilpa Gottam, Satyasai Jagannath Nanda, Ravi Kumar Maddila:
A CNN-LSTM Model Trained with Grey Wolf Optimizer for Prediction of Household Power Consumption. iSES 2021: 355-360 - Gaurav Jain, Amit M. Joshi, Ravi Kumar Maddila, Santosh Kumar Vipparthi:
A Review of Non-Invasive HbA1c and Blood Glucose Measurement Methods. iSES 2021: 339-342 - Chandra Shekhar Maddila, Nachiappan Nagappan, Christian Bird, Georgios Gousios, Arie van Deursen:
ConE: A Concurrent Edit Detection Tool for Large ScaleSoftware Development. CoRR abs/2101.06542 (2021) - Chandra Shekhar Maddila, Apoorva Agrawal, Thomas Zimmermann, Nicole Forsgren, Kim Herzig, Arie van Deursen:
Nalanda: A Socio-Technical Graph for Building Software Analytics Tools at Enterprise Scale. CoRR abs/2110.08403 (2021) - Nusrat Zahan, Laurie A. Williams, Thomas Zimmermann, Patrice Godefroid, Brendan Murphy, Chandra Shekhar Maddila:
What are Weak Links in the npm Supply Chain? CoRR abs/2112.10165 (2021) - 2020
- Teena Sharma, Ravi Kumar Maddila:
Optical Code Construction Based on Enhanced Quantum Logic Gate (EQLG) Technique for Spectral Amplitude Coding Optical CDMA Systems. Wirel. Pers. Commun. 113(4): 2587-2609 (2020) - Nikitha Rao, Chetan Bansal, Subhabrata Mukherjee, Chandra Shekhar Maddila:
Product Insights: Analyzing Product Intents in Web Search. CIKM 2020: 2189-2192 - Sonu Mehta, Ranjita Bhagwan, Rahul Kumar, Chetan Bansal, Chandra Shekhar Maddila, Balasubramanyan Ashok, Sumit Asthana, Christian Bird, Aditya Kumar:
Rex: Preventing Bugs and Misconfiguration in Large Services Using Correlated Change Analysis. NSDI 2020: 435-448 - Chetan Bansal, Pantazis Deligiannis, Chandra Shekhar Maddila, Nikitha Rao:
Studying Ransomware Attacks Using Web Search Logs. SIGIR 2020: 1517-1520 - Chetan Bansal, Pantazis Deligiannis, Chandra Shekhar Maddila, Nikitha Rao:
Studying Ransomware Attacks Using Web Search Logs. CoRR abs/2005.00517 (2020) - Nikitha Rao, Chetan Bansal, Subhabrata Mukherjee, Chandra Shekhar Maddila:
Product Insights: Analyzing Product Intents in Web Search. CoRR abs/2005.08591 (2020)
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