Software-Related Concept Validation Model

A Software-Related Concept Validation Model is a concept validation model for a software development-based concept.

Context:
- It can range from Low-Fidelity Software Concept Validation Models to being a High-Fidelity Software Concept Validation Models (with detailed representations close to the final implementation stage).
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- It can be used to evaluate the feasibility, functionality, and user alignment of a software idea before investing in full-scale implementation.
- It can support various Software-System Development Process Stages, including Software System Requirements Validation, Software System Design Validation, and Early-Stage Software Concept Validation, depending on the maturity of the concept.
- It can involve Software Concept Simulation to validate User Interface designs, Core Functionality, or System Architecture concepts without the need for complete implementation.
- It can incorporate Iterative Concept Validation aligned with Agile Methodologies, enabling rapid feedback cycles and concept refinement.
- It can utilize DevOps-Inspired Concept Validation to assess operational and deployment aspects of the software concept early in the ideation phase.
- It can facilitate User-Centric Concept Validation to assess alignment with User Requirements and User Experience (UX) expectations before any code is written.
- It can involve Peer Review of Software Concepts to validate Software Architecture approaches and adherence to best practices by involving experienced developers and architects.
- It can leverage Concept Version Management to track and evaluate different iterations of software concept models, ensuring that all revisions are documented and compared.
- It can support Software Concept Decision-Making, helping prioritize Feature Concept Prioritization and guide Development Resource Planning based on validated insights.
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Example(s):
- Minimum Viable Software Concept (MVC), which validates core software feature ideas and market fit by outlining basic software functionality and gathering user feedback on the concept before coding.
- Technical Feasibility Software Model (for Software Technology concepts), which systematically evaluates the feasibility, performance, and technical alignment of a new software technology concept before any implementation to ensure its viability.**
- UI Software Concept Validation Model (for UI concepts), which systematically evaluates the feasibility, user alignment, and usability implications of software user interface design concepts without any actual software development to refine UX elements.**
- Software Feature Concept Testing Model (for Software Features), which systematically evaluates the feasibility, performance, and user alignment of new software feature ideas in theoretical user scenarios, allowing assessment of feature value and usability with representative user groups.**
- Comparative Software Concept Validation Model (for Software Elements), which systematically evaluates the feasibility, performance, and alignment of multiple conceptual versions of a software element to determine the most promising direction before further development.**
- Software Deployment Concept Validation Model (for Software Deployment strategies), which systematically evaluates the feasibility, performance, and operational implications of build and deployment process concepts by evaluating proposed software deployment strategies before actual pipeline implementation.**
- Software Prototypes (for Software Concepts), which systematically evaluate the feasibility, performance, and implementation implications of software concepts through actual code implementation and testing.**
- AI Concept Validation Model (for AI concepts), which systematically evaluates the feasibility, performance, alignment, and ethical implications of AI-supported capability.
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Counter-Example(s):
- Theoretical Software Architecture Documents, which describe software structures but don’t provide a means for practical validation or testing of the concept.
- Software Market Surveys, which gather user opinions but don’t validate the feasibility or potential success of an actual software concept.
See: Software Development Methodology, Agile Concept Development, DevOps Concept Modeling, Software Concept Testing, User Experience (UX) Concept Validation.

References

2024

LLM
- A Software-Related Concept Validation Model is a structured methodology in software development designed to evaluate the feasibility, functionality, and user alignment of a proposed software system. The validation process is critical in determining if a software concept can be successfully developed and implemented, minimizing risks early in the development lifecycle.
  - Software Proof of Concept (POC)**: This is a basic model aimed at testing the core functionality and technical feasibility of a software concept. It uses simple prototypes or code modules to validate whether the idea can be technically achieved within the given constraints. A Software POC helps identify key technical challenges and is usually conducted internally before investing more resources.
  - Software Prototype: This is a higher-fidelity, interactive version of the software concept used to validate the design and user interface (UI). A Software Prototype allows stakeholders to interact with visual elements and navigation paths to gather early feedback on the user experience (UX). It helps refine UI components and provides insights into usability without building the complete product.
  - Minimum Viable Product (MVP)**: An MVP is a deployable version of the software with only the essential features. It is released to a select group of early adopters to validate market fit, gather feedback, and test the viability of core functionalities. The MVP phase helps ensure that the product meets user needs and justifies further investment.
- The TELOS Framework is frequently applied to perform a comprehensive feasibility analysis by examining Technical, Economic, Legal, Operational, and Scheduling aspects. Each dimension ensures that the concept is robust and can scale under real-world conditions. Incorporating these models early in the development cycle ensures that software systems are feasible, aligned with user expectations, and have a clear path to successful implementation.