13 citations · 29 across the 6 of their papers we have counts for
7 papers
AI for Low-Code for AI
Nikitha Rao, Jason Tsay, Kiran Kate +2
Low-code programming allows citizen developers to create programs with minimal coding effort, typically via visual (e.g. drag-and-drop) interfaces. In parallel, recent AI-powered t…
Comments on Comments: Where Code Review and Documentation Meet
Nikitha Rao, Jason Tsay, Martin Hirzel +1
A central function of code review is to increase understanding; helping reviewers understand a code change aids in knowledge transfer and finding bugs. Comments in code largely ser…
SoftNER: Mining Knowledge Graphs From Cloud Incidents
Manish Shetty, Chetan Bansal, Sumit Kumar +2
The move from boxed products to services and the widespread adoption of cloud computing has had a huge impact on the software development life cycle and DevOps processes. Particula…
Search4Code: Code Search Intent Classification Using Weak Supervision
Nikitha Rao, Chetan Bansal, Joe Guan
Developers use search for various tasks such as finding code, documentation, debugging information, etc. In particular, web search is heavily used by developers for finding code ex…
Neural Knowledge Extraction From Cloud Service Incidents
Manish Shetty, Chetan Bansal, Sumit Kumar +3
In the last decade, two paradigm shifts have reshaped the software industry - the move from boxed products to services and the widespread adoption of cloud computing. This has had…
Studying Ransomware Attacks Using Web Search Logs
Chetan Bansal, Pantazis Deligiannis, Chandra Maddila +1
Cyber attacks are increasingly becoming prevalent and causing significant damage to individuals, businesses and even countries. In particular, ransomware attacks have grown signifi…
Product Insights: Analyzing Product Intents in Web Search
Nikitha Rao, Chetan Bansal, Subhabrata Mukherjee +1
Web search engines are frequently used to access information about products. This has increased in recent times with the rising popularity of e-commerce. However, there is limited…