Learning from Software Project Histories: Predictive Studies Based on Mining Software Repositories

Verena Herbold, Steffen Herbold, Jens Grabowski

Abstract

In software project planning project managers have to keep track of several things simultaneously including the estimation of the consequences of decisions about, e.g., the team constellation. The application of machine learning techniques to predict possible outcomes is a widespread research topic in software engineering. In this paper, we summarize our work in the field of learning from project history.
Document Type: 
Articles in Conference Proceedings
Booktitle: 
Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part III
Address: 
Cham
Publisher: 
Springer International Publishing
Pages: 
267--270
Month: 
9
Year: 
2016
URL: 
http://dx.doi.org/10.1007/978-3-319-46131-1_32
DOI: 
10.1007/978-3-319-46131-1_32
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