Predicting Code Change by using static metrics


Maintenance of software is risky, potentially expensive - and inevitable. The main objective of this study is to examine the relationship of code change, referred to as maintenance effort, with source-level software metrics. This approach varies from the typical approach of evaluating software metrics against failure data and provides a different angle on the validation of software metrics. The goal of this study is to show through exhaustive data mining that a relation between software metrics and code change exists. Once this connection is established, a set of software metrics is identified, which will be used in further studies to predict code change in problematic modules identified by the software metrics at an early development stage.

Talk: 7th International Conference on Software Engineering Reaearch, Management and Applications (SERA 2009), Haikou, Hainan Island, China; 12-02-2009 - 12-04-2009; in: “SERA 2009 Proceedings”, Conference Publishing Services, (2009)
Thomas Grechenig
Thomas Grechenig
Ao.Univ.Prof. Dipl.-Ing. Dr.techn.