Title :
Economics-Driven Software Mining
Author :
Bahsoon, Rami ; Emmerich, Wolfgang
Author_Institution :
Aston Univ. Birmingham, Birmingham
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;
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
