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Quality Assurance

Quality Assurance

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Updated: May 9, 2026

Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters

Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters

Published on: February 4, 2018

Spectrum analysis on quality requirements consideration in software design documents.

Haruhiko Kaiya¹, Masahiro Umemura, Shinpei Ogata

¹Department of Computer Science, Shinshu University, 380-8553 Nagano, Japan.

|July 27, 2013

Summary

This study introduces a new method to verify if software quality requirements are incorporated during the design phase. Spectrum analysis for quality requirements objectively measures and compares quality considerations between requirement and design documents.

Keywords:

Quality requirements Requirements analysis Software design document Software engineering Traceability

Related Experiment Videos

Last Updated: May 9, 2026

Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters

Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters

Published on: February 4, 2018

Area of Science:

Software Engineering
Quality Assurance

Background:

Ensuring software quality requires integrating quality requirements from the analysis stage into final products.
Quality requirements must be considered in intermediate stages like design and architecture for effective implementation.

Purpose of the Study:

To propose and validate a novel method for assessing the integration of quality requirements during the software design stage.

Main Methods:

Applying "spectrum analysis for quality requirements" to both requirements specifications and design documents.
Numerically representing quality requirement considerations within documents via derived spectra.
Objectively comparing the alignment of quality requirements between specification and design documents.

Main Results:

The proposed method successfully validated the consideration of quality requirements in design documents.
Spectrum analysis provided a numerical representation for objective comparison.
The method was successfully applied to commercial software systems using a supporting tool.

Conclusions:

The developed method offers an objective approach to verify quality requirement integration in software design.
Spectrum analysis is effective for quantitatively assessing the traceability of quality requirements from specification to design.
This technique aids in ensuring that quality requirements are consistently addressed throughout the software development lifecycle.