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This guide outlines a systematic approach to the development, testing, evaluation, and documentation of groundwater modeling codes, establishing a quality assurance framework that ensures reliability and accuracy in groundwater studies.
This guide covers the systematic approach to developing and evaluating groundwater modeling codes. It applies to initial development, maintenance, and updates. The code’s functionality must be defined in sufficient detail for users to assess utility and for developers to design testing strategies. The guide is one of a series on groundwater modeling, including Guides D5447, D5490, D5611, D5609, D5610, and D5718.
Quality assurance procedures are established for software design, programming, testing, use, maintenance, and updating. These procedures include code review, testing, and evaluation using quantitative and qualitative measures. While QA cannot guarantee code quality entirely, it safeguards against faulty codes and incorrect assumptions. The framework includes formulation and evaluation of theoretical foundations and code design criteria.
Groundwater modeling codes follow a software life cycle with design, development, and operational phases. During the operational phase, software is maintained, evaluated regularly, and changed as additional requirements are identified. Comprehensive testing of a code’s functionality and performance is accomplished through a variety of test methods. Determining the importance of the tested functions and the ratio of tested versus non-tested functions provides an indication of the completeness of the testing.
| 🟦 Phase | 📏 Description | 🎯 Key Activities |
|---|---|---|
| Design Phase | Establish objectives and specifications | Define functionality, theoretical foundation |
| Development Phase | Code implementation and testing | Apply coding standards, review, test |
| Operational Phase | Maintenance and evaluation | Regular updates, change management |
💡 Tip: Ensure that the code’s functionality is defined in sufficient detail to design a meaningful testing strategy and assess utility for potential users.
⚠️ Caution: Quality assurance cannot guarantee a completely correct model; models can only be invalidated by disagreement with observations due to incorrect application, invalid theory, or use of inadequately tested codes.
It provides a systematic approach for developing, testing, evaluating, and documenting groundwater modeling codes, ensuring quality assurance throughout the software life cycle.
Testing must cover functionality and performance using quantitative and qualitative measures. The ratio of tested to non-tested functions indicates testing completeness.
QA procedures should be established for maintenance and updating during the operational phase, ensuring continued reliability as requirements evolve.
It consists of design, development, and operational phases, with ongoing evaluation and changes as needed.