5 papers
Evaluating LLMs on Java Code Snippet Adaptation Using a Mutation-Injection Framework
Ali Aman, Muhammad Asaduzzaman, Shaowei Wang +1
Background: Developers frequently reuse code by copying fragments and adapting them to fit new contexts. Existing benchmarks for evaluating large language models (LLMs) on code ada…
An insight into the technical debt-fix trade off in software backporting
Jarin Tasnim, Debasish Chakroborti, Chanchal K. Roy +1
Maintaining software is an ongoing process that stretches beyond the initial release. Stable software versions continuously evolve to fix bugs, add improvements, address security i…
Comparative Analysis of Quantum and Classical Support Vector Classifiers for Software Bug Prediction: An Exploratory Study
Md Nadim, Mohammad Hassan, Ashis Kumar Mandal +3
Purpose: Quantum computing promises to transform problem-solving across various domains with rapid and practical solutions. Within Software Evolution and Maintenance, Quantum Machi…
Quantum vs. Classical Machine Learning Algorithms for Software Defect Prediction: Challenges and Opportunities
Md Nadim, Mohammad Hassan, Ashis Kumar Mandal +1
Software defect prediction is a critical aspect of software quality assurance, as it enables early identification and mitigation of defects, thereby reducing the cost and impact of…
Evaluating the Performance of a D-Wave Quantum Annealing System for Feature Subset Selection in Software Defect Prediction
Ashis Kumar Mandal, Md Nadim, Chanchal K. Roy +2
Predicting software defects early in the development process not only enhances the quality and reliability of the software but also decreases the cost of development. A wide range…