Handbook of software reliability engineering
Handbook of software reliability engineering
Building Web applications with UML
Building Web applications with UML
Metrics and Models in Software Quality Engineering
Metrics and Models in Software Quality Engineering
Guest Editors' Introduction: Web Engineering— An Introduction
IEEE MultiMedia
Operational Profiles in Software-Reliability Engineering
IEEE Software
Quality Attributes of Web Software Applications
IEEE Software
Web error classification and analysis for reliability improvement
Journal of Systems and Software
Multi-faceted quality and defect measurement for web software and source contents
Journal of Systems and Software
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Companies today enable digital relationships with customers, suppliers, and employees by delivering compelling functionality that saves time and money. As web applications are growing in the number of dynamic pages relative to the static pages, there is a need for effective ways to improve web quality and reliability. This paper presents an effective method to analyze, classify, and prioritize anomalies in dynamic web applications. The analysis technique addressed in this paper introduces a formalized procedure that uses the server access log and defect data detected in a development or system maintenance cycle to identify errors with high frequency. Fixing the top faults identified provides a cost effective and efficient mechanism to improve the reliability and quality of web applications. This formalized procedure will provide a high degree of automation. The results of applying our approach to a case study from telecommunication industry are included to show its applicability and effectiveness.