Week 6 Lab: Cost of Quality, by Catch Point
An analytical lab — calculate cost-of-quality at different inspection points using real multiplier data, and justify an inspection budget
29 March 2027
Pairs. You’re given a fictional production run with a known defect injection rate and a choice of how much to spend on inspection at each of three stages (design, implementation, testing). Using the peer-reviewed multiplier week 6’s lecture surfaces — roughly 100x more expensive to fix post-release than at design, dropping closer to 5:1 on small non-critical work — calculate total expected cost under a low-inspection and a high-inspection budget, and recommend one.
Before the lab#
Read week 6’s lecture carefully — it spends real effort distinguishing a number that replicates from one that doesn’t, and this lab is graded on using the right one.
In the lab#
Work the numbers as a pair, then write a short justification: which inspection budget you’d actually recommend, and why the multiplier alone doesn’t answer that question (inspection has its own cost, so more isn’t automatically better — the lecture’s whole complication was that skipping it doesn’t remove cost, it relocates it, not that inspection is free).
Submitting#
The worked calculation for both budgets and the recommendation, from the pair. Due Wednesday 31 March, 5pm — earlier than this course’s usual Friday lab deadline, deliberately, so it doesn’t collide with Assignment 1’s Friday due date the same week.
Pairs of two.
The spec
What you bring to the session. Written so a reader can tell whether it has been met without asking you.
- uses the Boehm and Basili replicated multiplier (not the debunked "IBM Systems Sciences Institute" chart) as the basis for the calculation, and says so
- calculates total expected cost under at least two different inspection budgets, not just one
- recommends a specific inspection spend and justifies it against the numbers calculated, not against a vibe
Teaching team
- Idris Fenn — tutor