Julian Dolby's talk starts in *ten minutes*, in room 2310 CS. All the
cool kids will be there! http://www.cs.wisc.edu/events/3971
Title: WALA Everywhere
Speaker: Dr. Julian Dolby, IBM Thomas J. Watson Research Center
Location: 2310 CS
Abstract:
Programming has embraced increasingly diverse languages across domains;
indeed, every new domain seems to bring languages with it. There is
enterprise software that is still heavily based in Java and C#, but Web
programming is increasingly dominated by JavaScript, which is tightly
integrated with HTML and is even making inroads on the server with
nodejs. The increasing interest in machine learning has increased use of
Python and its associated libraries. Furthermore, each language brings
with it an ecosystem of tools, such Eclipse and Intellij for Java, Atom
and Visual Studio Code for JavaScript, PyCharm and Jupyter for Python.
And systems are increasingly used from a diverse array of platforms,
including mobile devices.
This plethora poses a challenge for program analysis frameworks: many
have traditionally been focused on a single system, such as bytecode
analysis of Java, but, to be maximally useful, frameworks ideally would
follow users when they employ different tools for different jobs. In
this talk, I shall discuss how the Watson Libraries for Analysis (WALA),
an open-source analysis framework, is designed for this world by
enabling analysis of a variety of languages on a variety of platforms
and for presenting analysis information in a wide variety of tools. I
shall discuss the underlying analysis framework, and present demos of
WALA in action in multiple contexts. I will focus most on our recent
work in tools for machine learning, with analysis examples and demos of
tools in operation.
Bio:
Julian has been a Research Staff Member at IBM's Thomas J. Watson
Research Center since 2000. He works on a range of topics, including
static program analysis, software testing, the semantic web (AI) and
programming technology support for machine learning. He has also worked
on the Jikes Research Virtual Machine (Jikes RVM).
Julian was educated at the University of Wisconsin-Madison as an
undergraduate, and at the University of Illinois at Urbana-Champaign as
a graduate student where he worked with Professor Andrew Chien on
programming systems for massively-parallel machines.
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