Zero-shot Learning based Alternatives for Class Imbalanced Learning Problem in Enterprise Software Defect Analysis | IEEE Conference Publication | IEEE Xplore

Zero-shot Learning based Alternatives for Class Imbalanced Learning Problem in Enterprise Software Defect Analysis


Abstract:

Software defect reports are an important type of text data for enterprises as they provide actionable information for improving software quality. Identifying the software...Show More

Abstract:

Software defect reports are an important type of text data for enterprises as they provide actionable information for improving software quality. Identifying the software defect type automatically can greatly enhance and expedite defect management. Class imbalance is a real-life problem in enterprise software defect classification task and adversely affects the automation effort. We show that zero shot learning based technique can be a good alternative to the well-known supervised learning and SMOTE techniques.CCS CONCEPTS•Software and its engineering → Software defect analysis.
Date of Conference: 15-16 April 2024
Date Added to IEEE Xplore: 18 June 2024
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Conference Location: Lisbon, Portugal

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