Data stream mining for predicting software build outcomes using source code metrics
This addresses the need for better prediction and understanding in software development projects, but appears incremental as it builds on existing data mining approaches.
The paper tackles the problem of predicting software build outcomes by mining source code metrics from data streams in software repositories, aiming to gain a deeper understanding of the development process, but no concrete results or numbers are provided in the abstract.
Software development projects involve the use of a wide range of tools to produce a software artifact. Software repositories such as source control systems have become a focus for emergent research because they are a source of rich information regarding software development projects. The mining of such repositories is becoming increasingly common with a view to gaining a deeper understanding of the development process.