S
Sandeep Purao
Researcher at Bentley University
Publications - 164
Citations - 4064
Sandeep Purao is an academic researcher from Bentley University. The author has contributed to research in topics: Information system & Web service. The author has an hindex of 24, co-authored 159 publications receiving 3810 citations. Previous affiliations of Sandeep Purao include J. Mack Robinson College of Business & Georgia State University.
Papers
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Journal ArticleDOI
Action design research
TL;DR: Action design research (ADR) reflects the premise that IT artifacts are ensembles shaped by the organizational context during development and use and conceptualizes the research process as containing the inseparable and inherently interwoven activities of building the IT artifact, intervening in the organization, and evaluating it concurrently.
Proceedings Article
Being proactive: where action research meets design research
TL;DR: The similarities between two approaches to investigating information systems in organizations, action research and design research, both directly intervene in real-world domains and effect changes in these domains are investigated.
Design Research in the Technology of Information Systems: Truth or Dare
TL;DR: In this article, the authors define design research in TIS as in(ter)vention in the representational world defined by the hierarchy of concerns following semiotics, and argue for its legitimacy as a viable candidate for research in the substantive (IS) discipline.
Journal ArticleDOI
Product metrics for object-oriented systems
Sandeep Purao,Vijay K. Vaishnavi +1 more
TL;DR: A mathematical formalism is developed that shows that current research in this area contains varying coverage of different products and their properties at different development stages, and facilitates several analyses including aggregation across metrics, usage across metrics and exploitation of traditional metrics for object-oriented metrics.
Journal ArticleDOI
Improving Analysis Pattern Reuse in Conceptual Design: Augmenting Automated Processes with Supervised Learning
TL;DR: Learning mechanisms for improving analysis pattern reuse in conceptual design are developed and the results suggest that the methodology has the potential to benefit practice.