• HW0 Specification

• Wikipedia's Software Development Process
• HW1 Specification
• The Heilmeier Catechism
• Does double-blind review system work well? The Myth of Double-Blind Review Revisited: ACL vs. EMNLP"

• Sections 2.0 to 2.5 of Henderson's Software Engineering at Google [Google]
• Wikipedia's Quality Assurance
• Wikipedia's Static Program Analysis
• Wikipedia's Dynamic Program Analysis
• Wikipedia's Basic Block
• Wikipedia's Data-flow Analysis
• Wikipedia's Profiling
• Wikipedia's Software Testing
• Wikipedia's Code Coverage
• Wikipedia's Mutation Testing
• Wikipedia's Test Data Generation
• "How did mutation testing improve code review feedback by over 60% for over 10,000 code authors at Google?" Find out in: Petrovic and Ivankovic's State of Mutation Testing at Google [Google]
• Ayewah et al.'s Experiences Using Static Analysis to Find Bugs [Google]
• <"Where do invariants come from?" Find out in: Ernst et al.'s The Daikon system for dynamic detection of likely invariants
• "How does Microsoft find bugs in critical device drivers?" Find out in: Ball et al.'s A Decade of Software Model Checking with SLAM [Microsoft]
• "What are deployment challenges for static analysis?" Find out in: Bessey et al.'s A Few Billion Lines of Code Later: Using Static Analysis to Find Bugs in the Real World [Coverity]
• Musuvathi et al.'s Finding and Reproducing Heisenbugs in Concurrent Programs [Microsoft]


• Optional: "How can we detect locking bugs?" Find out in: Savage et al.'s Eraser: A Dynamic Data Race Detector for Multithreaded Programs [Digital]
• Read up to, but not including, "Program Specific Checkers" in Zeller's Fuzzing: Breaking Things with Random Inputs
• "Can fuzz testing find security bugs?" Find out in: Godefroid et al.'s Automated Whitebox Fuzz Testing [Microsoft]

• Begel and Zimmermann's Analyze This! 145 Questions for Data Scientists in Software Engineering [Microsoft]


• "How does measurement bias relate to software?" Find out in: Mytkowicz et al.'s Producing Wrong Data Without Doing Anything Obviously Wrong!" [IBM]
• Don't want to read the Mytkowicz paper? Watch the video instead!
• Floyd et al.'s Decoding the representation of code in the brain: An fMRI study of code review and expertise
• Krueger et al.'s Neurological divide: an fMRI study of prose and code writing.
• Huang et al.'s Biases and Difference in Code Review Using Medical Imaging and Eye-Tracking: Genders, Humans, and Machines

• Presentation 1: [Ayewah2008] Using Static Analysis to Find Bugs.
• Presentation 2: [Weimer2010] Automatic Program Repair with Evolutionary Computation

• Presentation 1: [Fowler2018] Fuzz Testing for Automotive Cyber-security
• Presentation 2: [Hindle2022] On the Naturalness of Software

Human Factors II: SE as Human Activity

• Wikipedia's Code Review
• Bacchelli and Bird's Expectations, outcomes, and challenges of modern code review [Microsoft]
• Wikipedia's Pair Programming
• Cockburn and Williams' The Costs and Benefits of Pair Programming
• Dean Jackson's The Google Technical Interview [Google]
• Section 4.1 of Henderson's Software Engineering at Google [Google]


• "What did a survey of over 46,000 comments find out about modern technical interviews?" Find out in: Behroozi et al.'s Hiring is Broken: What Do Developers SayAbout Technical Interviews? [Microsoft]
• "What can go wrong in pair programming?" Find out in: Lewis and Shah's How Equity and Inequity Can Emerge in Pair Programming

• Presentation 1: [Huang2019] Distilling Neural Representations of Data Structure Manipulation using fMRI and fNIRS
• Presentation 2: [Parnin2011] Are Automated Debugging Techniques Actually Helping Programmers?

• Presentation 1:[Dell2012] "Yours is Better!" Participant Response Bias in HCI
• Presentation 2: [Lee2015] Comparing the Effectiveness of Online Learning Approaches on CS1 Learning Outcomes

• Presentation 1: [Kelleher2007] Storytelling Alice Motivates Middle School Girls to Learn Computer Programming
• Presentation 2: [Kelleher2007]Let's Go to the Whiteboard: How and Why Software Developers Use Drawings

• Presentation 1:[Guo2021] GraphCodeBERT: Pre-Training Code Representations with Data Flow
• Presentation 2: [Chaparro2019] Assessing the Quality of the Steps to Reproduce in Bug Reports

Paper Presentations

• Presentation 1: [Tufano2022] Using Reinforcement Learning for Load Testing of Video Games
• Presentation 2: [Humbatova2021] DeepCrime: Mutation Testing of Deep Learning Systems Based on Real Faults

• What is open source?

• Presentation 1:[Terrel2017] Gender Difference and Bias in Open Source: Pull Request Acceptance of Women versus Men
• Presentation 2:[Miller2022] "Did You Miss My Comment or What?" Understanding Toxicity in Open Source Discussions