Introduction
Software Development Life Cycle (SDLC) models help structure and streamline the software development process, ensuring the product meets quality, functionality, and performance standards. Here are domain-specific prompts across five essential models: Waterfall, Agile, V-Model, Spiral, and Iterative. Each section tailors prompts for the Insurance, Booking Platforms, Beauty, Health, and Automotive Manufacturing domains, for both web and mobile applications.
1. Waterfall Model
The Waterfall Model is a linear and sequential SDLC approach where each phase must be completed before moving to the next.
Insurance Domain
- Prompt: "Create a Waterfall-based testing strategy for an insurance claims processing system. Define test objectives for each phase (requirements, design, implementation, testing) and discuss dependencies between testing and other stages."
Booking Platform
- Prompt: "Develop a Waterfall-based QA plan for a travel booking system. Outline specific deliverables and testing goals at each stage, from requirements gathering through deployment."
Beauty Industry
- Prompt: "Design a test plan for a beauty app’s booking feature using the Waterfall model. Ensure that each testing phase is dependent on the completion of the previous phase to identify UI and performance bottlenecks early."
Health Domain
- Prompt: "Create a test flow for a health records system using the Waterfall model. Specify how each phase (requirement, design, coding, testing) should handle compliance with health data privacy regulations like HIPAA."
Automotive Manufacturing Domain
- Prompt: "Draft a Waterfall SDLC approach for testing an automotive inventory tracking app. Identify the impact of testing each phase sequentially and highlight areas to monitor for performance and real-time data sync accuracy."
2. Agile Model
The Agile Model promotes iterative development, where requirements and solutions evolve through collaborative team efforts.
Insurance Domain
- Prompt: "Design a sprint-focused testing plan for an insurance policy management app. Include test case prioritization based on user stories, sprint retrospectives, and continuous integration strategies."
Booking Platform
- Prompt: "Develop an Agile QA strategy for an event booking platform. Outline how testing will integrate with each sprint, focusing on user journey mapping and handling booking conflicts."
Beauty Industry
- Prompt: "Draft an Agile testing approach for a beauty app’s AR features. Incorporate sprint-specific test cases for new makeup styles and functionality, allowing for quick user feedback and adjustment."
Health Domain
- Prompt: "Plan Agile testing for a telehealth app. Include sprint-based tests for video/audio consultation features, encryption testing, and compliance checks, emphasizing rapid user feedback loops."
Automotive Manufacturing Domain
- Prompt: "Create an Agile testing workflow for an automotive part tracking application. Focus on sprint reviews for real-time data accuracy, IoT integrations, and user interface adjustments."
3. V-Model (Verification and Validation)
The V-Model is a sequential development approach that emphasizes validation and verification, pairing each development stage with a corresponding testing phase.
Insurance Domain
- Prompt: "Design a V-Model-based QA plan for an insurance premium calculator. Pair requirements analysis with acceptance testing, design with system testing, and coding with unit testing to ensure each phase is validated."
Booking Platform
- Prompt: "Create a V-Model testing strategy for a booking app, pairing design verification with functional testing and implementation with integration testing. Focus on tracking real-time booking availability."
Beauty Industry
- Prompt: "Develop a V-Model-based testing approach for a beauty product recommendation feature. Pair each development phase with tests that validate accurate product suggestions and AR compatibility across devices."
Health Domain
- Prompt: "Set up a V-Model testing flow for a health monitoring system that pairs each development stage with data encryption and security validation tests, ensuring compliance in each phase."
Automotive Manufacturing Domain
- Prompt: "Create a V-Model QA strategy for an automotive manufacturing app. Ensure each development stage has corresponding IoT integration tests, especially focusing on part tracking accuracy."
4. Spiral Model
The Spiral Model combines iterative and Waterfall elements, with a focus on risk assessment at each phase.
Insurance Domain
- Prompt: "Outline a risk-based testing plan for an insurance fraud detection system using the Spiral Model. Incorporate risk assessment for data privacy, real-time alerts, and claims verification in each spiral."
Booking Platform
- Prompt: "Develop a Spiral Model testing approach for a ticket booking platform. Focus on risk assessment for high traffic load, payment processing security, and booking conflicts in each iterative cycle."
Beauty Industry
- Prompt: "Draft a Spiral Model test plan for a beauty app’s skin analysis feature. Include risk assessment and testing for AR accuracy, lighting variation, and skin tone identification during each phase."
Health Domain
- Prompt: "Create a Spiral Model-based QA strategy for a patient record management system. Emphasize risk evaluation for data breaches and compliance, adjusting tests as risks change with each iteration."
Automotive Manufacturing Domain
- Prompt: "Design a Spiral Model QA approach for a vehicle assembly tracking app. Focus on risk assessment of real-time part tracking and device compatibility in each development cycle."
5. Iterative Model
The Iterative Model develops software through repeated cycles, allowing for continuous improvements in functionality.
Insurance Domain
- Prompt: "Draft an iterative testing plan for an insurance app’s policy renewal feature. Emphasize adding new test cases for premium recalculations, renewal notifications, and compliance updates in each iteration."
Booking Platform
- Prompt: "Create an iterative QA strategy for a booking app, where each iteration introduces new features like cancellation policies or seasonal pricing. Track defect trends across iterations for better prioritization."
Beauty Industry
- Prompt: "Plan an iterative testing approach for a beauty app’s virtual try-on functionality. Add new test scenarios for each iteration to cover various product lines and image resolutions."
Health Domain
- Prompt: "Develop an iterative test plan for a health app’s symptom checker. Include user feedback-driven changes, with a focus on new disease symptom updates and backend data accuracy for each iteration."
Automotive Manufacturing Domain
- Prompt: "Draft an iterative test plan for an automotive production line monitoring app. Emphasize improvements to data accuracy and equipment compatibility in each development iteration."
Conclusion
These tailored prompts support QA Leads in crafting detailed SDLC-specific testing strategies across diverse domains. By leveraging ChatGPT, QA Leads can refine their approach at every SDLC stage—ensuring robust test coverage and a well-defined strategy for each domain, whether linear (Waterfall) or adaptive (Agile).