Genetic Algorithm-Based Fuzzy Inference System for Describing Execution Tracing Quality
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Materia
Software product quality model Quality assessment Execution tracing Logging Execution tracing quality Logging quality Fuzzy logic Artificial intelligence
Date
2021Referencia bibliográfica
Galli, T.; Chiclana, F.; Siewe, F. Genetic Algorithm-Based Fuzzy Inference System for Describing Execution Tracing Quality. Mathematics 2021, 9, 2822. https:// doi.org/10.3390/math9212822
Abstract
Execution tracing is a tool used in the course of software development and software maintenance to identify the internal routes of execution and state changes while the software operates.
Its quality has a high influence on the duration of the analysis required to locate software faults.
Nevertheless, execution tracing quality has not been described by a quality model, which is an
impediment while measuring software product quality. In addition, such a model needs to consider
uncertainty, as the underlying factors involve human analysis and assessment. The goal of this study
is to address both issues and to fill the gap by defining a quality model for execution tracing. The
data collection was conducted on a defined study population with the inclusion of software professionals to consider their accumulated experiences; moreover, the data were processed by genetic
algorithms to identify the linguistic rules of a fuzzy inference system. The linguistic rules constitute a
human-interpretable rule set that offers further insights into the problem domain. The study found
that the quality properties accuracy, design and implementation have the strongest impact on the
quality of execution tracing, while the property legibility is necessary but not completely inevitable.
Furthermore, the quality property security shows adverse effects on the quality of execution tracing, but its presence is required to some extent to avoid leaking information and to satisfy legal
expectations. The created model is able to describe execution tracing quality appropriately. In future
work, the researchers plan to link the constructed quality model to overall software product quality
frameworks to consider execution tracing quality with regard to software product quality as a whole.
In addition, the simplification of the mathematically complex model is also planned to ensure an
easy-to-tailor approach to specific application domains.
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