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Application of Design Aspects in Uniaxial Loading Machine Development

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Aligning requirements and testing through metamodeling and patterns: design and evaluation.

Taciana Novo Kudo^1,2, Renato de Freitas Bulcão-Neto², Valdemar Vicente Graciano Neto²

¹Departamento de Computação, Universidade Federal de São Carlos (UFSCar), SP São Carlos, Brazil.

Requirements Engineering

|June 7, 2022

Summary

This summary is machine-generated.

This study introduces Software Pattern MetaModel (SoPaMM), a novel approach using requirement patterns and test patterns to align software requirements and testing. SoPaMM improves quality and reduces project costs by enabling reuse and integrating executable behaviors.

Keywords:

Evaluation Metamodel Pattern Quality Requirement Testing

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Area of Science:

Software Engineering
Metamodeling
Requirements Engineering

Background:

Poor requirements engineering impacts project quality, budget, and schedule.
Requirement patterns facilitate reuse but lack integration beyond engineering.
Weak alignment between requirements and testing causes cost, rework, and delays.

Purpose of the Study:

To present a novel metamodeling approach, Software Pattern MetaModel (SoPaMM).
To align requirements and testing using requirement patterns and test patterns.
To evaluate SoPaMM's quality properties.

Main Methods:

Developed SoPaMM, a metamodeling approach integrating requirement and test patterns.
Described functional requirement patterns and acceptance test patterns as user stories with executable behaviors.
Evaluated SoPaMM against a metamodel quality evaluation framework.

Main Results:

SoPaMM successfully aligns requirements and testing through integrated patterns.
The approach enhances requirement specifications and professional productivity.
Evaluation results demonstrate SoPaMM's quality properties.

Conclusions:

SoPaMM offers a promising solution for aligning software requirements and testing.
The metamodeling approach facilitates reuse and mitigates project risks.
Lessons learned from design and evaluation provide insights for future research.