Spec To Code Compliance

Spec to Code Compliance is a community skill for verifying that code implementations match their specifications, covering requirement tracing, specification parsing, compliance checking, gap analysis, and report generation for regulatory and design conformance.

What Is This?

Overview

Spec to Code Compliance provides tools for systematically verifying that implementation code satisfies its design specifications. It covers requirement tracing that maps specification items to code locations implementing each requirement, specification parsing that extracts testable requirements from design documents, compliance checking that validates implementations against extracted rules, gap analysis that identifies unimplemented or partially implemented requirements, and report generation that produces traceability matrices and compliance summaries. The skill helps teams verify implementation completeness.

Who Should Use This

This skill serves software engineers verifying implementations match design specs, QA teams validating requirement coverage, and compliance officers auditing software for regulatory conformance.

Why Use It?

Problems It Solves

Manually verifying code against specifications is tedious and error-prone at scale. Requirements that are not traced to code may be silently unimplemented. Compliance audits require documentation that links specifications to implementations. Design changes may invalidate existing implementations without detection.

Core Highlights

Requirement tracer maps spec items to implementing code locations. Spec parser extracts testable requirements from documents. Compliance validator checks implementations against specification rules. Gap reporter identifies unimplemented requirements.

How to Use It?

Basic Usage

from dataclasses import (
  dataclass, field)

@dataclass
class Requirement:
  id: str
  description: str
  category: str

@dataclass
class TraceLink:
  req_id: str
  file: str
  line: int
  status: str

class ComplianceChecker:
  def __init__(self):
    self.reqs: list[
      Requirement] = []
    self.links: list[
      TraceLink] = []

  def add_requirement(
    self,
    id: str,
    desc: str,
    category: str
  ):
    self.reqs.append(
      Requirement(
        id, desc,
        category))

  def add_trace(
    self,
    req_id: str,
    file: str,
    line: int,
    status: str
  ):
    self.links.append(
      TraceLink(
        req_id, file,
        line, status))

  def gaps(self) -> list:
    traced = {
      l.req_id
      for l in self.links}
    return [
      r for r in self.reqs
      if r.id not in traced]

  def report(self) -> dict:
    total = len(self.reqs)
    covered = len(set(
      l.req_id
      for l in self.links))
    return {
      'total': total,
      'covered': covered,
      'gaps': len(
        self.gaps()),
      'rate': covered /
        max(total, 1)}

checker = ComplianceChecker()
checker.add_requirement(
  'REQ-001',
  'Validate email format',
  'input')
checker.add_requirement(
  'REQ-002',
  'Rate limit API calls',
  'security')
checker.add_trace(
  'REQ-001', 'validate.py',
  42, 'implemented')
print(checker.report())

Real-World Examples

import json
from pathlib import Path

class TraceMatrix:
  def __init__(self):
    self.entries = []

  def add_entry(
    self,
    req_id: str,
    spec_section: str,
    code_ref: str,
    test_ref: str,
    status: str
  ):
    self.entries.append({
      'req_id': req_id,
      'spec': spec_section,
      'code': code_ref,
      'test': test_ref,
      'status': status})

  def coverage(
    self
  ) -> dict:
    total = len(
      self.entries)
    by_status = {}
    for e in self.entries:
      s = e['status']
      by_status[s] = (
        by_status.get(
          s, 0) + 1)
    return {
      'total': total,
      'by_status':
        by_status}

  def export(
    self, path: str
  ):
    Path(path).write_text(
      json.dumps(
        self.entries,
        indent=2))

matrix = TraceMatrix()
matrix.add_entry(
  'REQ-001', '3.1',
  'auth.py:45',
  'test_auth.py:12',
  'verified')
matrix.add_entry(
  'REQ-002', '3.2',
  'rate_limit.py:20',
  '', 'untested')
report = matrix.coverage()
print(
  f'Coverage: '
  f'{report["total"]} reqs')
matrix.export(
  'trace_matrix.json')

Advanced Tips

Use code comment tags like REQ-001 in source files to enable automated tracing from requirements to implementation locations. Integrate compliance checks into CI to detect regressions when code changes break specification conformance. Generate traceability matrices automatically for audit documentation.

When to Use It?

Use Cases

Verify that all API specification endpoints have corresponding implementation and test coverage. Generate a traceability matrix for regulatory audit showing requirement-to-code mappings. Identify specification requirements that lack implementation before release.

Related Topics

Requirements tracing, compliance verification, specification testing, quality assurance, traceability matrix, and audit.

Important Notes

Requirements

Specification document with identifiable requirement items. Source code with traceable markers or annotations linking to requirements. Understanding of the compliance standards applicable to the project.

Usage Recommendations

Do: establish requirement identifiers early and use them consistently in specs, code, and tests. Automate traceability extraction where possible to reduce manual tracking effort. Review gap reports before each release to catch unimplemented requirements.

Don't: rely solely on manual tracking for large specification sets since human error leads to missed gaps. Mark requirements as implemented without verifying that tests cover the specification intent. Delay compliance checking until audit time since early detection prevents costly rework.

Limitations

Automated tracing requires consistent tagging conventions that need team discipline to maintain. Compliance checking validates structural coverage but cannot verify that implementations correctly satisfy requirement intent. Specification ambiguity may lead to disagreements about whether an implementation is compliant.