A Particle Swarm Optimized Learning Model of Fault Classification in Web-Apps

The term web-app defines the current dynamic pragmatics of the website, where the user has control. Finding faults in such dynamic content is challenging, as to whether the fault is exposed or not depends on its execution path. Moreover, the complexity and uniqueness of each web application make fau...

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Veröffentlicht in:	IEEE access 2019, Vol.7, p.18480-18489
Hauptverfasser:	Jain, Deepak Kumar, Kumar, Akshi, Sangwan, Saurabh Raj, Nguyen, Gia Nhu, Tiwari, Prayag
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applications programs Classification Classification algorithms Classifiers Computer bugs Decision trees Empirical analysis fault Faults Feature extraction Feature selection Heuristic methods Machine learning Multilayers particle swarm Particle swarm optimization Predictive models Software Support vector machines Task analysis web-apps Websites
Online-Zugang:	Volltext
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