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Designing reliable software is getting harder as it’s used more widely. Detecting software quality is crucial, and any changes in the code can affect scalability and reliability. Previous research used data mining for quality prediction, but it lacked scalability and reliability. The proposed research aims to address these issues by introducing the LPH-GDO Model, which predicts software quality quickly and efficiently. This work was experimentally evaluated for scalability, service provisioning time, and software reliability across various code sizes.

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Novel Mechanism for Open-Source Software Quality Management Using Hybrid Approach: Greedy Discritized Optimization and Louvain Parallelization Heuristic

  • 会议论文

  • 发表日期：

    2026年

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  • R. Chennappan,
  • K. Bala Chandru

摘要

Designing reliable software is getting harder as it’s used more widely. Detecting software quality is crucial, and any changes in the code can affect scalability and reliability. Previous research used data mining for quality prediction, but it lacked scalability and reliability. The proposed research aims to address these issues by introducing the LPH-GDO Model, which predicts software quality quickly and efficiently. This work was experimentally evaluated for scalability, service provisioning time, and software reliability across various code sizes.