A Bayesian Belief Network for Modeling Open Source Software Maintenance Productivity [chapter]

Stamatia Bibi, Apostolos Ampatzoglou, Ioannis Stamelos
2016 IFIP Advances in Information and Communication Technology  
Maintenance is one of the most effort consuming activities in the software development lifecycle. Efficient maintenance within short release cycles depends highly on the underlying source code structure, in the sense that complex modules are more difficult to maintain. In this paper we attempt to unveil and discuss relationships between maintenance productivity, the structural quality of the source code and process metrics like the type of a release and the number of downloads. To achieve this
more » ... oal, we developed a Bayesian Belief Network (BBN) involving several maintainability predictors and three managerial indices for maintenance (i.e., duration, production, and productivity) on 20 open source software projects. The results suggest that maintenance duration depends on inheritance, coupling, and process metrics. On the other hand maintenance production and productivity depend mostly on code quality metrics.
doi:10.1007/978-3-319-39225-7_3 fatcat:lxok7yvbxncltmu43unyzkdsoq