Submission (Ziyong Cheong)

assignments/2026/ziyong_cheong/assignment.md

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+# WASP Software Engineering Course Assignment 2026
+
+<!--
+- deadline: 14:00 2026-09-01
+- 4–6 A4 pages
+- 11pt Times New Roman
+-->
+
+## Introduction
+
+<!-- introduce your research area (≤500 words) -->
+
+## Lecture Principles
+
+<!-- two principles -->
+
+### Discussion
+
+## Guest-Lecture Principles
+
+<!-- two principles -->
+
+### Discussion
+
+## Data Scientists, Software Engineers, and AI Engineers
+
+<!--
+- read chapters 1&2 of <https://mlip-cmu.github.io/book/>
+- how does the book differentiate between data scientists and software engineers?
+- do you agree?
+- production ML requires system-wide view (not only model-centric)
+  - apply this to your research area
+- will data scientists and software engineers remain distinct?
+  - what about AI engineering?
+  - is it software engineering for AI, systematic DS, MLOps, or something else?
+- discuss the role of foundation models, AI coding assistants, RAGs, prompt pipelines, and agentic workflows
+-->
+
+## Paper Analysis
+
+<!--
+- core ideas, importance to SE
+- relation to your research
+- application to an example AI project
+- adapt these ideas to your research
+- 1 A4 page each
+-->
+
+### Paper 1
+
+<!-- CAIN conference <https://conf.researchr.org/series/cain> -->
+
+### Paper 2
+
+<!--
+one of the following
+- LLMs for software engineering
+- AI-assisted development
+- LLM/RAG/prompt evaluation
+- testing of ML/AI systems
+- agentic software development
+- AI system security/safety
+- technical debt in AI systems
+- software engineering for foundation-model-based systems
+-->
+
+## Evidence, Originality, and GenAI-Use
+
+<!--
+for each source
+- describe type of source
+- comment on trustworthiness of sources
+- dislose genAI use
+-->