Test Case Review and Sign-Off Process
Test cases that are written by one person and executed without peer review frequently have gaps, ambiguities, and incorrect expected results. A formal test case review process catches these issues before they mislead execution and produces test cases that any team member can execute consistently.
Test Case Review Process
- Self-review: Before submitting for peer review, the author reads each test case from the perspective of a new tester - are the steps clear enough? Is the expected result measurable? Is the test data specified exactly?
- Peer review: Another QA engineer reviews for technical correctness - are the steps executable? Does the expected result match the requirement? Are edge cases covered?
- Business review (for critical features): A business analyst or product owner reviews acceptance criteria alignment - does this test case actually validate the intended business behavior?
- Developer review (optional but valuable): A developer reviews complex technical test cases for feasibility - 'this expected result assumes the API returns data in X format - here's the actual format'
- Review outcomes: Approved (ready to execute), Needs Update (reviewer flags specific issues), or Rejected (fundamental misunderstanding of requirements - needs rewrite from scratch)
Practical Example - EP + BVA Test Case Generator
# Practical: Auto-generate test cases using EP and BVA in Python
# Demonstrates: Equivalence Partitioning + Boundary Value Analysis
from dataclasses import dataclass
from typing import List, Tuple
@dataclass
class TestCase:
tc_id: str
input_value: object
technique: str # EP or BVA
partition: str # valid / invalid
expected: str
def generate_ep_bva_cases(
field_name: str,
valid_min: int,
valid_max: int,
) -> List[TestCase]:
"""Generate EP + BVA test cases for a numeric range field."""
cases = []
tc_num = 1
def add(val, technique, partition, expected):
nonlocal tc_num
cases.append(TestCase(
tc_id=f"TC_{field_name.upper()}_{tc_num:03d}",
input_value=val,
technique=technique,
partition=partition,
expected=expected,
))
tc_num += 1
mid = (valid_min + valid_max) // 2
# ─ Equivalence Partitioning ─────────────────────────
add(mid, "EP", "valid", f"Accepted - within {valid_min}-{valid_max}")
add(valid_min - 5,"EP", "invalid (below)", f"Rejected - below minimum {valid_min}")
add(valid_max + 5,"EP", "invalid (above)", f"Rejected - above maximum {valid_max}")
# ─ Boundary Value Analysis ──────────────────────────
for val, label in [
(valid_min - 1, "just below lower"),
(valid_min, "lower boundary"),
(valid_min + 1, "just above lower"),
(valid_max - 1, "just below upper"),
(valid_max, "upper boundary"),
(valid_max + 1, "just above upper"),
]:
partition = "valid" if valid_min <= val <= valid_max else "invalid"
expected = (f"Accepted - within range"
if partition == "valid"
else f"Rejected - out of range")
add(val, "BVA", f"{partition} ({label})", expected)
return cases
# ─── Example: Age field (18-65) ──────────────────────────────────────────────
cases = generate_ep_bva_cases("AGE", valid_min=18, valid_max=65)
print(f"{'TC ID':<20} {'Input':>6} {'Technique':<4} {'Partition':<25} Expected")
print("-" * 90)
for c in cases:
print(f"{c.tc_id:<20} {str(c.input_value):>6} {c.technique:<4} {c.partition:<25} {c.expected}")
# Output - 9 test cases covering all EP partitions and BVA boundaries:
# TC_AGE_001 35 EP valid Accepted - within 18-65
# TC_AGE_002 13 EP invalid (below) Rejected - below minimum 18
# TC_AGE_003 70 EP invalid (above) Rejected - above maximum 65
# TC_AGE_004 17 BVA invalid (just below lower) Rejected - out of range
# TC_AGE_005 18 BVA valid (lower boundary) Accepted - within range
# ...etcModule 5 Review - Test Documentation
Tip
Tip
Practice Test Case Review and SignOff Process in small, isolated examples before integrating into larger projects. Breaking concepts into small experiments builds genuine understanding faster than reading alone.
Boundary = most bugs found. Equivalence reduces test count. Decision tables for complex logic.
Practice Task
Note
Practice Task - (1) Write a working example of Test Case Review and SignOff Process from scratch without looking at notes. (2) Modify it to handle an edge case (empty input, null value, or error state). (3) Share your solution in the Priygop community for feedback.
Common Mistake
Warning
A common mistake with Test Case Review and SignOff Process is skipping edge case testing - empty inputs, null values, and unexpected data types. Always validate boundary conditions to write robust, production-ready qa engineering code.
Key Takeaways
- Test cases that are written by one person and executed without peer review frequently have gaps, ambiguities, and incorrect expected results.
- Self-review: Before submitting for peer review, the author reads each test case from the perspective of a new tester - are the steps clear enough? Is the expected result measurable? Is the test data specified exactly?
- Peer review: Another QA engineer reviews for technical correctness - are the steps executable? Does the expected result match the requirement? Are edge cases covered?
- Business review (for critical features): A business analyst or product owner reviews acceptance criteria alignment - does this test case actually validate the intended business behavior?