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Lessons learned on applying design science for bridging the collaboration gap between industry and academia in empirical software engineering

Published: 02 June 2014 Publication History

Abstract

Collaboration between industry practitioners and researchers has been reported as a challenge to conduct empirical studies in software engineering. Gaining practitioners interest in research activities is challenging in the software development industry characterized by tough competition and short time-to-market. Often, practitioners do not see the direct value in collaborating with researchers. Meanwhile, researchers are frequently frustrated because they have no access to the real-world data that would enable them to develop scientific knowledge. Design science has become a popular research framework in Information Systems. This paper describes our lessons learned on how design science can help to attract and motivate industry practitioners to take part in empirical research. We present our practical experiences with using design science in the context of empirical software engineering, and how the design science framework helped us to bridge the collaborative gap with our industry partners. In illustrating our experiences, we present two case studies conducted in collaboration with Ericsson and Elektrobit in which the design science framework was followed. Based on our experience, design science is a suitable research framework for empirical software engineering since much of the research in the field is constructive. The similarities between the design science practices and the day-to-day work of practitioners in industry make it easy for them to understand the research approach. Thus, it supports their willingness to participate in research activities.

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    cover image ACM Conferences
    CESI 2014: Proceedings of the 2nd International Workshop on Conducting Empirical Studies in Industry
    June 2014
    44 pages
    ISBN:9781450328432
    DOI:10.1145/2593690
    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 ACM 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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    Published: 02 June 2014

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    Author Tags

    1. Design Science
    2. Empirical Research
    3. Industry collaboration
    4. Software Engineering

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    Cited By

    View all
    • (2023)The use of Design Science and Agile Methodologies for improved information systems in the Tanzanian Higher Education contextThe Electronic Journal of Information Systems in Developing Countries10.1002/isd2.1224189:1Online publication date: 9-Jan-2023
    • (2022)Knowledge Management in University-Software Industry CollaborationResearch Anthology on Agile Software, Software Development, and Testing10.4018/978-1-6684-3702-5.ch079(1666-1682)Online publication date: 2022
    • (2022)Energizing collaborative industry-academia learning: a present case and future visionsEuropean Journal of Futures Research10.1186/s40309-022-00196-510:1Online publication date: 25-Apr-2022
    • (2021)Knowledge Management in University-Software Industry CollaborationHandbook of Research on Modern Educational Technologies, Applications, and Management10.4018/978-1-7998-3476-2.ch028(114-130)Online publication date: 2021
    • (2020)Start with Problems or Solutions? Medical Device Design in Industry and AcademiaIEEE Access10.1109/ACCESS.2020.3035966(1-1)Online publication date: 2020
    • (2018)Protocol and tools for conducting agile software engineering research in an industrial-academic settingProceedings of the 6th International Workshop on Conducting Empirical Studies in Industry10.1145/3193965.3193970(29-32)Online publication date: 28-May-2018
    • (2018)Empirical study of the evaluation of perspectives to knowledge capitalisation in Brazilian software industryIET Software10.1049/iet-sen.2016.017212:2(120-128)Online publication date: Apr-2018
    • (2018)Approaches, success factors, and barriers for technology transfer in software engineering—Results of a systematic literature reviewJournal of Software: Evolution and Process10.1002/smr.198130:11Online publication date: 14-Nov-2018
    • (2016)SoftCoDeR approach: promoting Software Engineering Academia-Industry partnership using CMD, DSR and ESEJournal of Software Engineering Research and Development10.1186/s40411-016-0034-54:1Online publication date: 15-Dec-2016
    • (2015)Towards an Approach Matching CMD and DSR to Improve the Academia-Industry Software Development PartnershipProceedings of the 2015 29th Brazilian Symposium on Software Engineering10.1109/SBES.2015.18(51-60)Online publication date: 21-Sep-2015
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