Machine Learning-Based Software Development Challenges Focusing on using Best Practices of Software Engineering Standards.
Antonio Tablada-DominguezMirna MuñozJorge Octavio Ocharán-HernándezÁngel Juan Sánchez-GarcíaPublished in: ENC (2023)
Keyphrases
- software engineering
- software development
- machine learning
- software systems
- artificial intelligence
- software process
- software developers
- software projects
- development process
- design principles
- knowledge engineering
- software design
- software architecture
- software reuse
- design patterns
- machine learning methods
- software cost estimation
- cost estimation
- tool support
- object oriented
- software development process
- data mining
- lessons learned
- software engineers
- software testing
- reverse engineering
- real world
- requirements engineering
- software maintenance
- case study
- information extraction
- machine learning algorithms
- complex software systems
- agile software development
- model driven architecture
- business process modeling
- effort estimation
- software industry
- systems development
- text mining
- natural language processing
- software quality
- knowledge management
- metadata
- information systems
- knowledge acquisition
- product line
- development cycle
- web services
- human computer interaction
- pair programming
- agile development
- formal methods
- decision trees
- practical experiences
- modeling language
- software components
- knowledge representation