A Preliminary Study on Using Text- and Image-Based Machine Learning to Predict Software Maintainability.
Markus SchnappingerSimon ZachauArnaud FietzkeAlexander PretschnerPublished in: SWQD (2022)
Keyphrases
- machine learning
- software systems
- software maintenance
- source code
- text mining
- software quality
- software components
- software reuse
- supervised machine learning
- computer vision
- information retrieval
- software development
- computer systems
- computational linguistics
- text processing
- design patterns
- pattern recognition
- artificial intelligence
- maintenance effort
- software architecture
- explanation based learning
- text documents
- software tools
- database
- software engineering
- reinforcement learning
- learning algorithm
- model selection
- knowledge acquisition
- text classification
- user interface
- text retrieval
- development effort
- free text
- software projects
- software design
- protein secondary structure prediction
- machine learning algorithms
- textual data
- learning tasks
- test cases
- open source
- natural language processing
- information extraction
- data analysis
- case study
- data mining