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Agents Solution Development Optimization Agent
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Solution Development Optimization Agent

Automates test case creation, risk-based prioritization, and test execution aligned to requirements for rapid, accurate QA.

Manual quality assurance processes in solution development are often resource-intensive and susceptible to delays. Teams face challenges with laborious test creation, inefficient prioritization, and time-consuming execution cycles driven by manual effort and lack of alignment with evolving requirements. As a result, defects can go undetected or be identified late, increasing rework and impacting process productivity.

The Solution Development Optimization Agent addresses these inefficiencies by automating the end-to-end QA workflow within the solution configuration process. Drawing directly from internal data sources such as requirements models, design artifacts, configuration repositories, historical defect data, test scripts, and test results, the agent first automatically generates test cases fully mapped to the latest requirements and designs. Through AI-driven analysis of historical and contextual data, it then assigns risk scores and smartly prioritizes which test cases to execute for optimal defect detection. The prioritized tests are autonomously executed on the configured solution, with comprehensive test results collected and logged for continual improvement—all without manual intervention.

This agent dramatically increases process and employee productivity by eliminating repetitive QA tasks, minimizing cycle times, and ensuring test coverage precisely reflects evolving solution criteria. By systematically prioritizing high-risk areas and enabling unattended validation, organizations achieve significant cost savings and reduce rework. The agent transforms the workflow from reactive and labor-intensive to proactive and efficient, allowing teams to focus on addressing only the most complex quality challenges.

Accuracy
TBD

Speed
TBD

Input Data Set

Sample of data set required for Solution Development Optimization Agent:

Product Requirements Document: Automated Lead Scoring


Feature: Automated Lead Scoring
Product: ConnectSphere CRM
Document Version: 1.0
Date: 2023-10-26




1. Overview


This document outlines the requirements for a new Automated Lead Scoring feature within the ConnectSphere CRM platform. The feature will analyze lead interactions and assign a numerical score to help sales teams prioritize their efforts on the most promising prospects.


2. User Stories


    

  • US-101 (Sales Rep): As a Sales Representative, I want to see a numerical score next to each lead in my dashboard so that I can quickly identify high-value leads.
    • 

  • US-102 (Sales Manager): As a Sales Manager, I want the lead scoring system to be configurable based on different interaction types (e.g., email opens, page views) so that we can tailor the scoring model to our sales strategy.
    • 

  • US-103 (System Admin): As a System Administrator, I need the scoring calculation to be performant and not degrade overall application responsiveness.
    • 



3. Functional Requirements






ID
Requirement Description
Linked User Story






FR-201
The system shall calculate a LEAD_SCORE for each new lead based on pre-defined criteria.
US-101




FR-202
The LEAD_SCORE shall be an integer value between 1 and 100.
US-101




FR-203
The LEAD_SCORE shall be displayed next to the lead's name in the main 'Lead View' list.
US-101




FR-204
The system shall provide an admin interface to assign point values to the following interactions: Email Open (1-10 pts), Link Click (1-20 pts), Website Page View (1-5 pts), and Form Submission (1-50 pts).
US-102




FR-205
The LEAD_SCORE must update in near real-time (within 30 seconds) of a new interaction being logged.
US-101, US-102






4. Non-Functional Requirements






ID
Requirement Description
Linked User Story






NFR-301
The lead score calculation for a single interaction event must complete within 500ms.
US-103




NFR-302
The feature must handle up to 1,000 lead interaction events per minute without performance degradation.
US-103






5. Acceptance Criteria


    

  • AC-101.1: A lead with a calculated score of 75 is correctly displayed as "75" in the dashboard list view.
    • 

  • AC-101.2: A lead with no interactions has a default score of 1.
    • 

  • AC-204.1: An administrator can successfully change the point value for an 'Email Open' from 5 to 10, and subsequent calculations reflect this change.
    • 

  • AC-301.1: API response time for the scoring service endpoint must not exceed 500ms under average load.
    •

Deliverable Example

Sample output delivered by the Solution Development Optimization Agent:

QA Test Plan & Prioritization Report


Feature: Automated Lead Scoring
Source Document: PRD_ConnectSphere_Automated_Lead_Scoring
Analysis Date: 2023-10-26




1. Summary


This report outlines the automatically generated test cases and risk-based execution plan for the 'Automated Lead Scoring' feature. A total of 12 test cases have been generated based on the provided requirements, covering functional, UI, and performance aspects. The test plan is prioritized to focus on high-risk areas, such as the core scoring logic and data handling, to ensure maximum defect detection efficiency.


2. Generated Test Cases


The following test cases have been generated from the requirements document:






Test Case ID
Description
Linked Requirement
Test Type






TC-FUNC-001
Verify that a new lead with no interactions is assigned a default score of 1.
FR-202, AC-101.2
Functional




TC-FUNC-002
Verify that submitting a lead with interactions (1 Email Open, 1 Form Submit) calculates the correct score based on default point values.
FR-201
Functional




TC-FUNC-003
Verify that scores are correctly recalculated within 30 seconds after a new interaction is logged for an existing lead.
FR-205
Functional




TC-FUNC-004
Verify that the calculated LEAD_SCORE cannot exceed 100, even if interaction points sum to a higher value.
FR-202
Edge Case




TC-FUNC-005
Verify that the calculated LEAD_SCORE cannot be less than 1.
FR-202
Edge Case




TC-FUNC-006
Verify an admin user can successfully update point values in the configuration interface.
FR-204, AC-204.1
Functional




TC-FUNC-007
Verify that after changing point values, new score calculations use the updated values.
FR-204, AC-204.1
Functional




TC-UI-001
Confirm the LEAD_SCORE integer is displayed correctly next to the lead name in the 'Lead View' list.
FR-203, AC-101.1
UI/Visual




TC-UI-002
Confirm the score display is properly aligned and readable on different screen resolutions (1080p, 1440p).
FR-203
UI/Visual




TC-PERF-001
Measure API response time for the scoring service endpoint under an average load of 100 events/minute.
NFR-301, AC-301.1
Performance




TC-PERF-002
Load test the scoring service with a sustained 1,000 events/minute for 15 minutes to check for performance degradation.
NFR-302
Performance




TC-PERF-003
Verify score calculation latency remains below 500ms during the peak load test.
NFR-301, NFR-302
Performance






3. Risk-Based Test Execution Plan


Tests are prioritized based on a risk analysis considering impact (business function criticality) and likelihood (component complexity, history of defects).






Execution Order
Test Case ID
Priority
Risk Score
Rationale






1
TC-FUNC-002
Critical
95
Core functionality validation. Failure here renders the feature unusable.




2
TC-FUNC-004
Critical
92
Validates critical boundary condition of the scoring logic. High impact if broken.




3
TC-FUNC-007
High
88
Ensures the system is configurable as required; key value proposition for admins.




4
TC-FUNC-003
High
85
Validates the near real-time update requirement, which is critical for user trust.




5
TC-PERF-003
High
80
Confirms system performance under load; failure could impact the entire CRM.




6
TC-FUNC-001
Medium
70
Validates default state handling. Moderate impact.




7
TC-FUNC-006
Medium
68
Confirms admin UI interactions work as expected.




8
TC-UI-001
Medium
65
Core visual confirmation that the feature is accessible to the end-user.




9
TC-PERF-001
Medium
60
Baseline performance check under normal conditions.




10
TC-FUNC-005
Low
50
Lower impact edge case compared to the upper boundary.




11
TC-PERF-002
Low
45
Stress testing is important but secondary to core function and average load performance.




12
TC-UI-002
Low
40
Responsive design validation; lower priority than basic visibility.

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