Empirical Studies in Software Engineering (Q167541): Difference between revisions

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(‎Changed label, description and/or aliases in en, and other parts: removed Machine Learning from aliases; added Q169132 to addresses subject)
(‎Changed label, description and/or aliases in en, and other parts: modified description with assistance from Llama 3.1)
description / endescription / en
This cluster of papers focuses on empirical studies in software engineering, covering topics such as refactoring, code clone detection, software defect prediction, requirements traceability, static code attributes, machine learning, software maintena
"Analyzing software code through experiments and data-driven methods to improve quality and maintenance."

Revision as of 13:47, 30 August 2024

"Analyzing software code through experiments and data-driven methods to improve quality and maintenance."
  • Refactoring
  • Code Clone Detection
  • Software Defect Prediction
  • Requirements Traceability
  • Static Code Attributes
  • Software Maintenance
  • Source Code Analysis
  • Bug Localization
  • API Usage Patterns
Language Label Description Also known as
English
Empirical Studies in Software Engineering
"Analyzing software code through experiments and data-driven methods to improve quality and maintenance."
  • Refactoring
  • Code Clone Detection
  • Software Defect Prediction
  • Requirements Traceability
  • Static Code Attributes
  • Software Maintenance
  • Source Code Analysis
  • Bug Localization
  • API Usage Patterns

Statements