Fall 2020 — Monday, 3:30pm — Zoom

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We’ll be reading and discussing exciting recent research 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 5	Rene	Introduction
Oct 12	No meeting
Oct 19	Thomas and Zhen	Software Documentation: The Practitioners’ Perspective
Oct 26	Nico	Here We Go Again: Why Is It Difficult for Developers to Learn Another Programming Language?
Nov 2	Wilson and Sam	An Empirical Study on Program Failures of Deep Learning Jobs
Nov 9	Arthur and Katharine	The Secret Life of Bugs: Going Past the Errors and Omissions in Software Repositories
Nov 16	Lior and Nick	Version Control Systems: An Information Foraging Perspective
Nov 23	Audrey & Ben	Flexeme: Untangling Commits Using Lexical Flows
Nov 30	Eunice & Rashmi	Abstracting failure-inducing inputs
Dec 7	Syed	A Study on the Lifecycle of Flaky Tests
Dec 14	Martin and Michael F.	Revealing Injection Vulnerabilities by Leveraging Existing Tests

Paper Suggestions

• Big Code != Big Vocabulary: Open-Vocabulary Models for Source code

• Software Documentation: The Practitioners’ Perspective

• Version Control Systems: An Information Foraging Perspective

• Developer Testing in the IDE: Patterns, Beliefs, and Behavior

• The Secret Life of Bugs: Going Past the Errors and Omissions in Software Repositories

• Essential Sentences for Navigating Stack Overflow Answers

• Flexeme: Untangling Commits Using Lexical Flows

• Efficiently Finding Higher-Order Mutants

• Here We Go Again: Why Is It Difficult for Developers to Learn Another Programming Language?

• A Study on the Prevalence of Human Values in Software Engineering Publications, 2015 – 2018

• Abstracting failure-inducing inputs

• Detecting Optimization Bugs in Database Engines via Non-optimizing Reference Engine Construction

• An Empirical Study on Program Failures of Deep Learning Jobs

• Problems and Opportunities in Training Deep Learning Software Systems: An Analysis of Variance

• Establishing Multilevel Test-to-Code Traceability Links

• A Study on the Lifecycle of Flaky Tests

• JVM Fuzzing for JIT-Induced Side-Channel Detection

• Revealing Injection Vulnerabilities by Leveraging Existing Tests

Also see the suggestions from last quarter.