Genetic Algorithm-Based Fuzzy Inference System for Describing Execution Tracing Quality

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