Automated machine learning for test case prioritisation

Subjects: “…Computer Software-Systems…”
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Decoding success: an empirical study of critical success factors in software projects

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An evaluation study of large language models for addressing code quality issues

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On the synchronization between Hugging Face pre-trained language models and their upstream GitHub repository

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Do code LLMs do static analysis?

Subjects: “…Computer Software-Systems…”
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Cracking IoT security: can LLMs outsmart static analysis tools?

Subjects: “…Computer Software-Systems…”
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An exploratory study of bug-introducing changes: exploring relationships in bug-introducing changes towards causal understanding

Subjects: “…Computer Software-Systems…”
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Byam: Fixing Breaking Dependency Updates with Large Language Models

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Does developer familiarity hasten bug resolution? A causal inference perspective

Subjects: “…Computer Software-Systems…”
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Robustness evaluation and enhancement of LLMs in code generation: an empirical study

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Evaluating large language models for multilingual vulnerability detection at dual granularities

Subjects: “…Computer Software-Systems…”
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ArkTS code generation: A comprehensive evaluation with large language models

Subjects: “…Computer Software-Systems…”
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Developers and generative AI: A study of self-admitted usage in open source projects

Subjects: “…Computer Software-Systems…”
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How challenging it is to identify real code authors: an empirical study

Subjects: “…Computer Software-Systems…”
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CPGHunter: LLM-guided semantic modeling for scalable vulnerability detection via taint analysis

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Assessing open source software health in organizations’ intake processes: A qualitative study on the practitioners’ perspective

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Prompt engineering in LLMs for automated unit test generation: A large-scale study

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HAFix: history-augmented large language models for bug fixing

Subjects: “…Computer Software-Systems…”
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: XAI-based fuzzing for deep learning systems

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Evaluating AI-supported eliminative argumentation for developing reliable assurance cases

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