SEApr 19, 2013

K model for designing Data Driven Test Automation Frameworks and its Design Architecture Snow Leopard

arXiv:1304.5317v13 citations
Originality Incremental advance
AI Analysis

This work addresses a problem for developers, testers, and business analysts in software testing by providing a standardized approach, though it appears incremental as it builds on existing data-driven concepts.

The paper tackles the lack of common standards for designing data-driven test automation frameworks by proposing the K model as a reference model and the Snow Leopard design architecture, enabling consistent framework development across different test levels, projects, and tools.

Automated testing improves the efficiency of testing practice at various levels of projects in the organization. Unfortunately, we do not have a common architecture or common standards for designing frameworks across different test levels, projects and test tools which can assist developers, testers and business analysts. To address the above problem, in this paper, I have first proposed a unique reference model and then a design architecture using the proposed model for designing any Data Driven Automation Frameworks. The reference model is K model which can be used for modeling any data-driven automation framework. The unique Design architecture, based on above model is Snow Leopard.

Foundations

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