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.
Invited Speakers
Reasoning about Security of Amazon Web Services
Byron Cook
Beauty is the Promise of Happiness
Jenny Quillien
A new modularity for software
Daniel Jackson
In Defense of "Little Code"
Kathi Fisler
Distributed Abstractions
Barbara Liskov
50 Years of Programming and Language Design
Guy L. Steele Jr.
SPLASH-I
Valhalla: Enhancing the JVM with Value Types
Karen Kinnear
Verifying dApp Computations on a Blockchain
François-René Rideau
Reasoning about Security of Amazon Web Services
Byron Cook
Measuring Microservice Performance: A Shape Not a Number
Daniel Spoonhower
Oh, the compilers you will build!
Mark Stoodley
Composable References and the Yoneda Lemma
Jeremy Gibbons
Peering behind the Turing Mirror
Ben L. Titzer
Design by Introspection in D
Andrei Alexandrescu
All about JavaScriptCore's many compilers
Filip Pizlo
The Rise of Compilerization
Jeff Bezanson
The Future of AI: Machine Programmers and Their Necessary Self-Awareness
Justin Gottschlich
What happened to distributed programming languages?
Heather Miller
Two Decades of Ownership Types
James Noble
Low level systems programming in a high level language
Molham Aref
Better living through incrementality: Immediate static analysis feedback without loss of precision
Sebastian Erdweg, Tamás Szabó
Developing Opal, an App for Cancer Patients, as a Computer Scientist and Cancer Patient
Laurie Hendren
Ten Cool Things you might not know about the OpenJDK Java Virtual Machine
Christine H. Flood
Rust: Reach Further
Nicholas Matsakis
Provably Safe Pointers for a Parallel World
Tucker Taft
Tangible Abstraction
Sean McDirmid
Expanding R Syntax in package space
Jim Hester
Probabilistic Programming Paradigms
Vikash Mansinghka
Automatic Visualization
Leland Wilkinson
Time-Travel Debugging and Actionable Diagnostics Insights
Mark Marron
Reliable Deployment at Uber Scale
Murali Krishna Ramanathan
Provably Eliminating Exploitable Bugs
Kathleen Fisher
Programming NVM
James Larus
Software is eating the world, but ML is going to eat software
John Myles White
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
Mechanized Proofs of System Correctness in Production: Cryptography and Beyond
Adam Chlipala
Establishing a culture of code review
Peter Burka
Robustly benchmarking Julia in noisy environments
Jiahao Chen
All the languages together
Amal Ahmed
Conference and Workshops Invited Speakers
Through a Glass, Darkly ⭐️
James Noble
On the Self in Selfie ⭐️
Christoph Kirsch
SemanticDB: a common data model for Scala developer tools ⭐️
Eugene Burmako
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
Deep Learning at Scale
Prabhat
DARPA CASE program, motivation and challenges
Raymond Richards
How to Make Sparse Fast
Saman Amarasinghe
TensorFlow AutoGraph: Imperative-Style Coding with Graph-based Performance
Alexander B. Wiltschko
A New Approach for Software Correctness and Reliability
Martin Rinard
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