Welcome to SPLASH 2018!
The ACM SIGPLAN conference on Systems, Programming, Languages and Applications: Software for Humanity embraces all aspects of software construction and delivery to make it the premier conference at the intersection of programming, languages, and software engineering. SPLASH 2018 will take place in Boston from Sunday 4th to Friday 9th of November 2018.
SPLASH includes the following co-located conferences: OOPSLA, Onward!, GPCE, SLE, and DLS; as well as sixteen workshops.
The SPLASH-I talk series features thirty-five talks targeting practitioners. In the evenings, attendees can join one of the eight meetup groups held at MIT and Northeastern University.
Students curious about research can attend the Programming Language Mentoring Workshop and our Mentoring Breakfasts. Students who have some research under their belt can either take part in the Student Research Competition or the Doctoral Symposium. For educators, the SPLASH-E sessions will have invited talks and discussions.
OOSPLA is committed to open and reproducible science. All papers are published in gold open access with PACMPL. Scientific claims are evaluated by the Artifact Evaluation Committee.
For video recording of the keynotes and talks of the various SPLASH events, please see this youtube channel.
Invited Speakers

Beauty is the Promise of Happiness
Jenny Quillien

Distributed Abstractions
Barbara Liskov

50 Years of Programming and Language Design
Guy L. Steele Jr.

In Defense of "Little Code"
Kathi Fisler

A new modularity for software
Daniel Jackson

Reasoning about Security of Amazon Web Services
Byron Cook
SPLASH-I

Two Decades of Ownership Types
James Noble

Ten Cool Things you might not know about the OpenJDK Java Virtual Machine
Christine H. Flood

How a Computer Can Write a Poem and Make it Sound like an Angry Type Theorist or Proving Theorems and Seeing Cats
Richard P. Gabriel

Peering behind the Turing Mirror
Ben L. Titzer

The Future of AI: Machine Programmers and Their Necessary Self-Awareness
Justin Gottschlich

Measuring Microservice Performance: A Shape Not a Number
Daniel Spoonhower

Design by Introspection in D
Andrei Alexandrescu

Verifying dApp Computations on a Blockchain
François-René Rideau

Tangible Abstraction
Sean McDirmid

Expanding R Syntax in package space
Jim Hester

Valhalla: Enhancing the JVM with Value Types
Karen Kinnear

Probabilistic Programming Paradigms
Vikash Mansinghka

Rust: Reach Further
Nicholas Matsakis

Software is eating the world, but ML is going to eat software
John Myles White

Better living through incrementality: Immediate static analysis feedback without loss of precision
Sebastian Erdweg, Tamás Szabó

The Rise of Compilerization
Jeff Bezanson

Provably Safe Pointers for a Parallel World
Tucker Taft

Robustly benchmarking Julia in noisy environments
Jiahao Chen

Automatic Visualization
Leland Wilkinson

Low level systems programming in a high level language
Molham Aref

Reasoning about Security of Amazon Web Services
Byron Cook

Provably Eliminating Exploitable Bugs
Kathleen Fisher

Developing Opal, an App for Cancer Patients, as a Computer Scientist and Cancer Patient
Laurie Hendren

Composable References and the Yoneda Lemma
Jeremy Gibbons

Establishing a culture of code review
Peter Burka

Programming NVM
James Larus

What happened to distributed programming languages?
Heather Miller

All the languages together
Amal Ahmed

Oh, the compilers you will build!
Mark Stoodley

Reliable Deployment at Uber Scale
Murali Krishna Ramanathan

Time-Travel Debugging and Actionable Diagnostics Insights
Mark Marron

All about JavaScriptCore's many compilers
Filip Pizlo

Mechanized Proofs of System Correctness in Production: Cryptography and Beyond
Adam Chlipala
Conference and Workshops Invited Speakers

BEAM: A Virtual Machine for Handling Millions of Messages per Second ⭐️
Erik Stenman

CVE, CWE, CQE and all that -- enumerating the security and safety challenges for networked software
Robert A. Martin

On the Self in Selfie ⭐️
Christoph Kirsch

Through a Glass, Darkly ⭐️
James Noble

DARPA CASE program, motivation and challenges
Raymond Richards

Deep Learning at Scale
Prabhat

TensorFlow AutoGraph: Imperative-Style Coding with Graph-based Performance
Alexander B. Wiltschko

SemanticDB: a common data model for Scala developer tools ⭐️
Eugene Burmako

A New Approach for Software Correctness and Reliability
Martin C. Rinard
