The chapter examiners read first. ERD and DFD Level 0 and 1 from your real schema, data dictionaries with keys and nullability, and code listings that cite file paths instead of placeholders.
Variance 35.0 and cv 0.45 explained. What detectors measure, and how varied rhythm plus grounded specifics keeps the score at zero.
Primary keys, foreign keys, and cardinality from Prisma, Firestore rules, or SQLAlchemy models. Crow's foot notation without the guesswork.
Context diagram versus decomposition. Processes, data stores, and flows that match Chapter 4 text figure for figure.
Likert methodology, demographic distributions, UAT matrices, and SUS scores. What examiners check in the testing chapter.
Binding margins, Roman and Arabic pagination, and automated contents. What the assembler guarantees, and what to verify before binding.