TY - GEN
T1 - Software Intelligence
T2 - FSE/SDP Workshop on the Future of Software Engineering Research, FoSER 2010
AU - Hassan, Ahmed E.
AU - Xie, Tao
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - Mining software engineering data
KW - Mining software repositories
KW - Software intelligence
UR - http://www.scopus.com/inward/record.url?scp=79951637612&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79951637612&partnerID=8YFLogxK
U2 - 10.1145/1882362.1882397
DO - 10.1145/1882362.1882397
M3 - Conference contribution
AN - SCOPUS:79951637612
SN - 9781450304276
T3 - Proceedings of the FSE/SDP Workshop on the Future of Software Engineering Research, FoSER 2010
SP - 161
EP - 165
BT - Proceedings of the FSE/SDP Workshop on the Future of Software Engineering Research, FoSER 2010
Y2 - 7 November 2010 through 11 November 2010
ER -