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Paper List

  • Detecting Performance Anti-patterns for Applications Developed using Object-Relational Mapping
  • Improving the Quality of Large-Scale Database-Centric Software Systems by Analyzing Database Access Code
  • PowerStation: Automatically detecting and fixing inefficiencies of database-backed web applications in IDE
  • View-Centric Performance Optimization for Database-Backed Web Applications
  • View-Driven Optimization of Database-Backed Web Applications
  • Study Papers
    • A Comprehensive Study on Real World Concurrency Bugs in Node.js
    • A Qualitative Study on Performance Bugs
    • Bug Characteristics in Blockchain Systems: A Large-Scale Empirical Study
    • Security Versus Performance Bugs: A Case Study on Firefox
    • How not to structure your database-backed web applications: a study of performance bugs in the wild
    • Security Versus Performance Bugs: A Case Study on Firefox
    • Understanding and Detecting Real-World Performance Bugs
    • Understanding Database Performance Inefficiencies in Real-world Web Applications
    • Understanding Real-World Timeout Problems in Cloud Server Systems
    • What Bugs Live in the Cloud? A Study of 3000+ Issues in Cloud Systems
    • An Empirical Study of Operating Systems Errors
    • An Empirical Study on Configuration Errors in Commercial and Open Source Systems
    • Understanding Real-World Concurrency Bugs in Go
  • Scalability
    • ScaleCheck: A Single-Machine Approach for Discovering Scalability Bugs in Large Distributed Systems

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