Software intelligence
Published 7 November 2010
Ahmed E. Hassan, Tao Xie
Citations75
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TL;DR
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.
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.
Keywords
Computer Science
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