51 citations · 76 across the 3 of their papers we have counts for
4 papers
Data stream mining for predicting software build outcomes using source code metrics
Jacqui Finlay, Russel Pears, Andy M. Connor
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…
Mining developer communication data streams
Andy M. Connor, Jacqui Finlay, Russel Pears
This paper explores the concepts of modelling a software development project as a process that results in the creation of a continuous stream of data. In terms of the Jazz reposito…
Mining Software Metrics from Jazz
Jacqui Finlay, Andy M. Connor, Russel Pears
In this paper, we describe the extraction of source code metrics from the Jazz repository and the application of data mining techniques to identify the most useful of those metrics…
Synthetic Minority Over-sampling TEchnique(SMOTE) for Predicting Software Build Outcomes
Russel Pears, Jacqui Finlay, Andy M. Connor
In this research we use a data stream approach to mining data and construct Decision Tree models that predict software build outcomes in terms of software metrics that are derived…