590N: SE Reading Group

Autumn 2018 — Monday, 3:30pm — CSE 203

Subscribe to the calendar: iCal or Google Calendar.

We’ll be reading and discussing exciting recent papers from the software engineering community. Participants should subscribe to the 590n mailing list. Note the list also has many current and former department members interested in software engineering.

Some paper links may point into the ACM Digital Library or the Springer online collection. Using a UW IP address, or the UW libraries off-campus access, should provide access.

Date	Who	What
Oct 1	Everyone	Organization
Oct 8	Doug	How Many of All Bugs Do We Find? A Study of Static Bug Detectors (ASE 2018) by Andrew Habib, Michael Pradel
Oct 15	Rashmi	Compiler Fuzzing through Deep Learning (ISSTA 2018) by Chris Cummins, Pavlos Petoumenos, Alastair Murray, Hugh Leather
Oct 22	Taylor	PerfFuzz: Automatically Generating Pathological Inputs by Caroline Lemieux, Rohan Padhye, Koushik Sen, Dawn Song
Oct 29	Sam	An empirical investigation into learning bug-fixing patches in the wild via neural machine translation (ASE 2018) by Michele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, Denys Poshyvanyk
Nov 5	Zhen	Code Vectors: Understanding Programs Through Embedded Abstracted Symbolic Traces (FSE 2018) by Jordan Henkel, Shuvendu Lahiri, Ben Liblit, Thomas Reps
Nov 19	James	Evaluating Fuzz Testing
Nov 26	Rene and Mike	Evaluating Test-Suite Reduction in Real-World Software Evolution (ISSTA 2018) by August Shi, Alex Gyori, Muhammad Suleman Mahmood, Peiyuan Zhao, Darko Marinov
Dec 3	Yufeng	Deep Learning Type Inference (FSE 2018) by Vincent J. Hellendoorn, Christian Bird, Earl T. Barr, Miltiadis Allamanis
Dec 10	TBD	Discussion

Paper Suggestions

Analzying the Analyzers: FlowDroid/IccTA, AmanDroid, and DroidSafe (ISSTA 2018) by Lina Qiu, Yingying Wang, Julia Rubin
DeepBugs: A Learning Approach to Name-based Bug Detection (OOPSLA 2018) by Michael Pradel, Koushik Sen

Also see the suggestions from last quarter.