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Case SPA T21: Regression Testing Overload? Use Software Platform Anatomy to Focus on What Actually Changed

Updated: Oct 11, 2025

Category 7: Testing, Quality & Regression Control


Series Title: Rethinking Requirements: How the ICMG Software Platform Anatomy Model Makes Lending Systems Change-Ready


Key Variables Impacted: Rule, Data, Function, Event, UI


Perspectives Covered: Strategy, Business Process, System, Component Specification, Implementation, Operations


The Regression Testing Trap


It’s the week before release.


The build is ready, and everyone’s proud of how a new risk rule was introduced to tighten underwriting. But the QA team drops a bomb:

“We need to re-run 700 regression tests. We can't isolate the impact.”

Test cases are duplicated. Environments are blocked. Delivery is delayed—not because of failure, but because no one can say what actually changed and where it matters.


Conventional platforms treat all change as risky.


The result? Regression fatigue. Excessive testing. Endless guesswork.


But what if your architecture could help you test with precision, not paranoia?


Why Conventional SDLC Approaches Fail


Problems Observed

  • All or Nothing Regression: Teams can't isolate change impact, so they test everything—slowly, expensively.

  • Test Ownership is Fragmented: No clarity on which team owns which test for which change.

  • Context is Missing: Rule changes, event flows, and UI elements are modified—but traceability is lost. QA becomes a guessing game.

  • Release Confidence Drops: Business stakeholders lose confidence in delivery because testing cycles don’t correlate with actual scope.

Root Causes

  1. No Mapping of Test Cases to Architecture Variables: Rules, Events, and UI components are not tied to test logic.

  2. Subsystems Aren’t Modeled for Change Traceability: Component changes aren’t linked to affected process areas.

  3. Testing is Script-Driven, Not Architecture-Driven: The focus is on automation coverage, not architectural impact.

  4. Reactive Test Cycles: Without architectural insight, all change is treated as risky, and regression becomes default—not deliberate.


Applying the ICMG Software Platform Anatomy Model

With ICMG, change is not blindly tested—it is architecturally scoped.

Each rule, event, and function is mapped to a defined component, which in turn is tied to test cases, business processes, and operational logic.

This means you can trace, isolate, and test what matters—not what might.


Strategy Perspective

Business Driver: Accelerate delivery cycles while maintaining test integrityStrategic Intent: Establish architecture-governed regression control that aligns with business process impact, not just code change.


Business Process Perspective

Key Impacted Processes:

  • Loan Eligibility Evaluation

  • Risk Tier Assignment

  • Application Approval

  • Customer Communication

  • Compliance Audit Logging

Observation: Unmapped regression leads to poor process assurance. ICMG aligns testing scope with business process boundaries.


System / Subsystem Perspective (by Variable)

Variable Sub Systems

Subsystems Involved

Rule Sub Systems

Risk Rules Engine, Eligibility Criteria Evaluator

Data Sub Systems

Applicant Data Mapper, Scoring Cache, Decision Tables

Function Sub Systems

Loan Approval Processor, EMI Calculator

Event Sub Systems

RiskFlagTriggered, RuleEvaluationComplete

UI Sub Systems

Risk Disclosure Widget, Approval Dashboard Renderer

Observation: Each subsystem affected by a rule or function change has a defined scope. Regression is now scoped, not assumed.


Component Specification Perspective

a) Single-Variable Impact Components

Variable Sub System Component

Component Name

Role

Rule Sub System Component

RiskThresholdEvaluator

Evaluates cutoff scores for rule logic

Data Sub System Component

ApplicantRiskCache

Stores intermediary data for reused scoring logic

Event Sub System Component

RuleChangeNotifier

Triggers downstream updates on rule version changes

Function Sub System Component

ApprovalLogicDriver

Executes approval logic including new rules

UI Sub System Component

ApprovalStatusViewer

Displays eligibility status post-rule evaluation

b) Multi-Variable Impact Components

Variables Sub System Component

Component Name

Role

Rule + Data Sub System Component

RuleImpactAnalyzer

Traces which data elements are touched by a rule change

Event + UI Sub System Component

EventOutcomeDisplayPanel

Maps event outcomes to user-visible messaging

Rule + Function + Event Sub System Component

RegressionScopeTracer

Determines which functional paths and event flows are impacted

Observation: Components aren’t loosely defined—they’re architectural anchors. This reduces test spread and increases test accuracy.


Implementation Perspective (Mapped by Component)

Component

Implementation Task

RiskThresholdEvaluator

Update logic version and map test triggers to rules

ApplicantRiskCache

Apply version control on input and result caching

RuleChangeNotifier

Notify QA systems of rule updates needing scoped retest

ApprovalLogicDriver

Isolate functional logic for targeted regression

RegressionScopeTracer

Auto-identify affected components and propose regression focus

EventOutcomeDisplayPanel

Validate messaging impact only for affected paths

Observation: QA teams move from blanket retesting to targeted, architecture-mapped testing.


Operations Perspective (Linked to Business Processes)

Business Process

Operational Validation Activities

Loan Eligibility Review

Confirm new risk rule reflects in approval decisions

Customer Notification

Check only affected message flows were updated

Compliance Reporting

Validate event timestamps and decision audit logs

Risk Review Escalation

Ensure triggering criteria were correctly recalculated

Observation: Operations don’t test blindly—they validate business confidence in scope-aware releases.

Summary: Regression by Design, Not by Panic

Level

Impact

Strategy

Testing becomes business-aligned and scoped

Process

No surprises in production behavior

System/Subsystem

Regression aligns with architectural variable impact

Component Specification

Components traced directly to test logic

Implementation

Regression testing is precise and deliberate

Operations

Testing supports downstream audit and decision accuracy

Cross-Variable Effects

Clear change impact map across Rule–Data–Event–Function

Traditional SDLC vs ICMG Software Platform Anatomy

Area

Conventional SDLC

ICMG Software Platform Anatomy

Regression Scope

Broad, repetitive, assumption-based

Scoped by architecture impact

Test Case Mapping

Manual or missing

Tied to components and variables

QA Confidence

Low—unknown dependencies lead to over-testing

High—traceability is built-in

Developer Involvement

Reactive to QA escalations

Proactive in change scoping

Release Velocity

Slowed by unscoped testing

Accelerated by clarity and reuse

Conclusion: From Exhaustion to Precision

Regression testing isn’t the enemy.


Unscoped testing is.


With the ICMG Software Platform Anatomy, you gain a precision toolkit for scoping, tracing, and validating what actually changed—before your team burns time and trust on excessive regression.


Is regression fatigue slowing your release?


Explore the ICMG Fast Track Rating & Enterprise Select Program to align your QA cycles with architectural traceability.


Because in modern lending platforms, less testing can actually mean more confidence—if you test what matters.

Enterprise Intelligence

Transforming Strategy into Execution with Precision and Real Intelligence

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