Evaluating Low-Cost in Internal Crowdsourcing for Software Engineering: The Case of Feature Location in an Industrial Environment.
Francisca PérezAna Cristina MarcénRaúl LapeñaCarlos CetinaPublished in: IEEE Access (2020)
Keyphrases
- industrial environment
- low cost
- software engineering
- artificial intelligence
- neural network
- software systems
- image features
- feature vectors
- information systems
- human computer interaction
- digital camera
- internal and external
- databases
- similarity measure
- mobile robot
- database systems
- object oriented
- programming language
- information retrieval
- open source
- machine learning
- software projects
- feature values