Satish Chandra
Satish Chandra is a researcher at Google, where he applies machine learning techniques to improve developer productivity. Prior to that, he has worked -- in reverse chronological order -- at Facebook, Samsung Research, IBM Research, and Bell Laboratories. His work has spanned many areas of programming languages and software engineering, including program analysis, type systems, software synthesis, bug finding and repair, software testing and test automation, and web technologies. His research has been widely published in leading conferences in his field, including POPL, PLDI, ICSE, FSE and OOPSLA. The projects he has led have had significant industrial impact: in addition to his work on developer productivity at Facebook, his work on bug finding tools shipped in IBM's Java static analysis product, his work on test automation was adopted in IBM's testing services offering, and his work on memory profiling of web apps was included in Samsung's Tizen IDE.
Satish Chandra obtained a PhD from the University of Wisconsin-Madison, and a B.Tech from the Indian Institute of Technology-Kanpur, both in computer science. He is an ACM Distinguished Scientist and an elected member of WG 2.4.
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Google
Resolving Code Review Comments with Machine Learning
Alexander Frömmgen
Peter Choy
Elena Khrapko
Marcus Revaj
2024 IEEE/ACM 46th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP) (to appear)
