Focal Interest
Focal Interest

Software Testing and Debugging Techniques

External reference: https://openalex.org/T10743

  1. I Can SE Clearly Now: Investigating the Effectiveness of GUI-based Symbolic Execution for Software Vulnerability Discovery
    Controlled experiment examining how GUI versus API interfaces affect expert performance in symbolic execution for software vulnerability discovery and tool usability.
  2. Review maps large language models in automated program repair
    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.
  3. 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.
  4. Migration-based maintenance is proposed as a future direction
    Systematic research agenda for migration-based software maintenance automation, establishing a four-stage lifecycle model for transferring knowledge and solutions across software systems.
  5. FLAT uses formal languages to type strings
    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.
  6. Retrieval and structural priors improve parameter-efficient code representations
    Learn how retrieval augmentation and structural priors enhance parameter-efficient code representations while using only 5% of standard fine-tuning parameters.