Βελτίωση της διαχείρισης σφαλμάτων λογισμικού : μια προσέγγιση μηχανικής μάθησης για την ιεράρχηση και ταξινόμηση των αναφορών σφαλμάτων Jira
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Keywords
Bug management ; Bug triage ; Supervised machine learning ; Multiclass classification ; Workflow automationAbstract
Effectively managing bug repositories in software systems poses a significant challenge due to the constant and overwhelming flow of new issue reports. The manual handling of these reports is both laborious and time-consuming, resulting in frequent delays in resolving major defects. This thesis explores the intricacies of bug management in software repositories, highlighting the substantial influence of manual intervention on the time it takes to resolve bugs. The suggested technique seeks to optimize bug
management processes and expedite the resolution of key issues by automating the prioritization and classification process, through a detailed analysis of Jira bug reports and the implementation of classification algorithms.