Tag: Software Engineering Research
Spectral metrics predicted requirements integration effort
Spectral graph metrics derived from NLP-extracted requirement networks predict integration effort with 95% correlation, outperforming traditional structural complexity measures for early-stage.
AI tools are changing how web developers work
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Qualitative and quantitative study examining how web developers adopt AI tools, their efficiency gains, and persistent concerns about code quality and security vulnerabilities.
Review maps large language models in automated program repair
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Systematic review of 189 papers examining Large Language Models for Automated Program Repair from 2020-2025, analyzing LLM architectures, deployment strategies, and applications in bug repair and.
Support Vector Machine and Random Forest led software fault prediction
Review of machine learning techniques for software fault prediction from 2023-2025, examining algorithms, datasets, evaluation methods, and challenges in predictive modeling for software reliability.
Migration-based maintenance is proposed as a future direction
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Systematic research agenda for migration-based software maintenance automation, establishing a four-stage lifecycle model for transferring knowledge and solutions across software systems.
FLAT uses formal languages to type strings
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FLAT uses context-free grammars as type definitions to distinguish semantically different string encodings, enabling type-safe handling of URLs, file paths, and other structured data.
Retrieval and structural priors improve parameter-efficient code representations
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Learn how retrieval augmentation and structural priors enhance parameter-efficient code representations while using only 5% of standard fine-tuning parameters.
