Software Intelligence: The future of mining software engineering data

Ahmed E. Hassan, Tao Xie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Mining software engineering data has emerged as a successful research direction over the past decade. In this position paper, we advocate Software Intelligence (SI) as the future of mining software engineering data, within modern software engineering research, practice, and education. We coin the name SI as an inspiration from the Business Intelligence (BI) field, which offers concepts and techniques to improve business decision making by using fact-based support systems. Similarly, SI offers software practitioners (not just developers) up-to-date and pertinent information to support their daily decision-making processes. SI should support decision-making processes throughout the lifetime of a software system not just during its development phase. The vision of SI has yet to become a reality that would enable software engineering research to have a strong impact on modern software practice. Nevertheless, recent advances in the Mining Software Repositories (MSR) field show great promise and provide strong support for realizing SI in the near future. This position paper summarizes the state of practice and research of SI, and lays out future research directions for mining software engineering data to enable SI.

Original languageEnglish (US)
Title of host publicationProceedings of the FSE/SDP Workshop on the Future of Software Engineering Research, FoSER 2010
Pages161-165
Number of pages5
DOIs
StatePublished - Dec 1 2010
Externally publishedYes
EventFSE/SDP Workshop on the Future of Software Engineering Research, FoSER 2010 - Santa Fe, NM, United States
Duration: Nov 7 2010Nov 11 2010

Publication series

NameProceedings of the FSE/SDP Workshop on the Future of Software Engineering Research, FoSER 2010

Other

OtherFSE/SDP Workshop on the Future of Software Engineering Research, FoSER 2010
Country/TerritoryUnited States
CitySanta Fe, NM
Period11/7/1011/11/10

Keywords

  • Mining software engineering data
  • Mining software repositories
  • Software intelligence

ASJC Scopus subject areas

  • Software

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