Economics-Driven Software Mining

Author

Bahsoon, Rami ; Emmerich, Wolfgang

Author_Institution

Aston Univ. Birmingham, Birmingham

fYear

2007

fDate

20-26 May 2007

Firstpage

3

Lastpage

3

Abstract

Economics-driven software mining (EDSM) sifts through the repository data to extract information that could be useful for reasoning about not only the technical aspects but also the economics properties related to the development and/or evolution of software systems, and in relation to the environments in which they are procured, developed, evolved and used. The objective is to provide the analyst with insights into investment decisions related to the development, maintenance, and evolution of software systems, EDSM can also assist the analyst in resource planning and utilization. In this position paper, we define EDSM, describe possible scenarios for realizing EDSM and highlight some challenges.

Keywords

data mining; information retrieval; software maintenance; economics-driven software mining; information extraction; repository data; resource planning; software development; software maintenance; Data analysis; Data mining; Economic forecasting; Environmental economics; Investments; Power generation economics; Software engineering; Software maintenance; Software quality; Software systems; Economics-Driven Software Engineering; Maintenance and Evolution.; Mining Software Repositories;

fLanguage

English

Publisher

ieee

Conference_Titel

Economics of Software and Computation, 2007. ESC '07. First International Workshop on the

Conference_Location

Minneapolis, MN

Print_ISBN

0-7695-2955-0

Type

conf

DOI

10.1109/ESC.2007.5

Filename

4273049