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Lab-based action design research

Published: 31 May 2014 Publication History

Abstract

This paper proposes a research methodology, Lab-based Action Design Research, which combines organizational intervention (action research), building innovative artifacts (engineering research) and studies of software development practice (behavioral research) within a laboratory environment. Seven principles for successful Lab-based Action Design Research are proposed – attract funding with a win-win scenario; select inspiring projects; conduct simultaneous studies; mix methods; use longitudinal, quasi-experimental designs; use enterprise-level technical infrastructure; use established project management infrastructure. Initial evaluation indicates that the proposed approach is practical and may produce improvements in internal validity and theoretical generalizability.

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  • (2024)Forecasting software indicators: an industry-academia collaborationEmpirical Software Engineering10.1007/s10664-024-10508-x29:6Online publication date: 23-Sep-2024
  • (2023)Human Centered Design for Virtual Reality and Design Science Research to Virtual Heritage – Palacio de Puruchuco2023 International Symposium on Accreditation of Engineering and Computing Education (ICACIT)10.1109/ICACIT59946.2023.10403677(1-5)Online publication date: 2-Nov-2023
  • (2019)Toward Methodological Guidelines for Process Theories and Taxonomies in Software EngineeringIEEE Transactions on Software Engineering10.1109/TSE.2018.279655445:7(712-735)Online publication date: 1-Jul-2019

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cover image ACM Conferences
ICSE Companion 2014: Companion Proceedings of the 36th International Conference on Software Engineering
May 2014
741 pages
ISBN:9781450327688
DOI:10.1145/2591062
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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  • TCSE: IEEE Computer Society's Tech. Council on Software Engin.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 31 May 2014

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  1. Design
  2. Empirical Software Engineering
  3. Methodology
  4. Metrics

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Cited By

View all
  • (2024)Forecasting software indicators: an industry-academia collaborationEmpirical Software Engineering10.1007/s10664-024-10508-x29:6Online publication date: 23-Sep-2024
  • (2023)Human Centered Design for Virtual Reality and Design Science Research to Virtual Heritage – Palacio de Puruchuco2023 International Symposium on Accreditation of Engineering and Computing Education (ICACIT)10.1109/ICACIT59946.2023.10403677(1-5)Online publication date: 2-Nov-2023
  • (2019)Toward Methodological Guidelines for Process Theories and Taxonomies in Software EngineeringIEEE Transactions on Software Engineering10.1109/TSE.2018.279655445:7(712-735)Online publication date: 1-Jul-2019

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