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A Quantitative Fitness Analysis Workflow
Published on: August 13, 2012
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A Generalized approach to the operationalization of Software Quality Models.
Clemente Izurieta1,2,3, Derek Reimanis3, Eric O'Donoghue3
1Idaho National Laboratory, Idaho Falls, United States of America.
Peerj. Computer Science
|December 9, 2024
Summary
Developing software quality models is complex. The Platform for Investigative software Quality Understanding and Evaluation (PIQUE) offers a flexible hierarchical approach to address these challenges, enabling domain-specific quality assessment.
Area of Science:
- Software Engineering
- Information Systems
- Computer Science
Background:
- Developing comprehensive software quality models is a significant research challenge.
- Software quality is abstract and subjective, making objective measurement difficult.
- Existing quality models face challenges in operationalization and domain-specific application.
Purpose of the Study:
- To introduce the Platform for Investigative software Quality Understanding and Evaluation (PIQUE).
- To present a novel hierarchical approach for software quality modeling.
- To demonstrate PIQUE's adaptability across different domains.
Main Methods:
- Developed PIQUE, a hierarchical modeling framework.
- Utilized organizational tools for context-specific model instantiation.
- Applied algorithmic techniques for measurement normalization, aggregation, and interpolation.
Main Results:
- PIQUE enables the instantiation of abstract hierarchical models in any domain.
- Two practical use cases demonstrate PIQUE's utility.
- Addressed challenges in parameterizing PIQUE models.
Conclusions:
- PIQUE provides a flexible and adaptable solution for software quality modeling.
- The hierarchical approach combined with context-specific tools enhances quality assessment.
- Algorithmic techniques effectively handle measurement processing within PIQUE.
Keywords:
Data aggregationData scienceQuality assuranceQuality modelsSoftware engineeringSoftware qualityMore Related Videos
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