32 citations · 41 across the 5 of their papers we have counts for
6 papers
A Toolkit for Generating Code Knowledge Graphs
Ibrahim Abdelaziz, Julian Dolby, Jamie McCusker +1
Knowledge graphs have been proven extremely useful in powering diverse applications in semantic search and natural language understanding. In this paper, we present GraphGen4Code,…
Merging datasets through deep learning
Kavitha Srinivas, Abraham Gale, Julian Dolby
Merging datasets is a key operation for data analytics. A frequent requirement for merging is joining across columns that have different surface forms for the same entity (e.g., th…
Ariadne: Analysis for Machine Learning Program
Julian Dolby, Avraham Shinnar, Allison Allain +1
Machine learning has transformed domains like vision and translation, and is now increasingly used in science, where the correctness of such code is vital. Python is popular for ma…
Automatically Extracting Web API Specifications from HTML Documentation
Jinqiu Yang, Erik Wittern, Annie T. T. Ying +2
Web API specifications are machine-readable descriptions of APIs. These specifications, in combination with related tooling, simplify and support the consumption of APIs. However,…
Opportunities in Software Engineering Research for Web API Consumption
Erik Wittern, Annie Ying, Yunhui Zheng +4
Nowadays, invoking third party code increasingly involves calling web services via their web APIs, as opposed to the more traditional scenario of downloading a library and invoking…
Statically Checking Web API Requests in JavaScript
Erik Wittern, Annie T. T. Ying, Yunhui Zheng +2
Many JavaScript applications perform HTTP requests to web APIs, relying on the request URL, HTTP method, and request data to be constructed correctly by string operations. Traditio…