Long Method, Large Class, Feature Envy, Data Clumps
This generated surface maps a learner-facing curriculum unit to its canonical source routes.
Curriculum surface
- Open learner-facing unit
- Curriculum path:
content/curriculum/foundations/semester-03-software-design/module-01-ood-foundations-and-smells/concepts/cluster-04-code-smells-method-and-class-level/12-long-method-large-class-feature-envy-data-clumps-primary.md - App:
foundations - Semester:
semester-03-software-design - Module:
module-01-ood-foundations-and-smells - Unit kind:
concept - Curation level:
generated_default
Learning objectives
- Explain Long Method, Large Class, Feature Envy, Data Clumps in the language of the current curriculum, not just the source book.
- Apply Long Method, Large Class, Feature Envy, Data Clumps to one concrete learner task or example inside this semester.
- Use
good-code-bad-code,refactoringas a selective source of truth when the learner-facing explanation is not enough.
Prerequisites
- The earlier concept pages and practice tasks in the current module.
Source books
good-code-bad-coderefactoring
Source routes
Good Code Bad Code
- /books/good-code-bad-code via
Good Code, Bad Code: Caring too much about other classes
Refactoring
- /books/refactoring via
Refactoring: Divergent Change to Feature Envy,Refactoring: Extract Function (Part 1),Refactoring: Long Function to Long Parameter List,Refactoring: Rename variable and Introduce Parameter Object,Refactoring: Replace Temp with Query and Extract Class
Supporting curriculum routes
No supporting curriculum routes linked yet.
External enrichment
No curated enrichment resources yet.
AI companion modes
- Explain simply
- Socratic tutor
- Quiz me
- Challenge my understanding
- Diagnose my confusion
- Generate extra practice
- Revision mode
- Connect forward / backward
Source-of-truth note
This teaching unit is learner-facing guidance assembled from multiple canonical book routes. Use the listed source books as the primary conceptual spine for Long Method, Large Class, Feature Envy, Data Clumps, and treat outside material as supporting enrichment only.