Research Collaborations between Academia and Industry

Rombach, Dieter; Achatz, Reinhold

doi:10.1109/fose.2007.16

Cited by 29 publications

(30 citation statements)

References 5 publications

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“…The work in [53] discussed a spiral model for innovation-based industrial development developed in and used by the Fraunhofer Institute for Experimental Software Engineering (IESE) in Germany.…”

Section: Rq1 -Collaboration Modelsmentioning

confidence: 99%

See 1 more Smart Citation

Challenges and best practices in industry-academia collaborations in software engineering: A systematic literature review

Garousi

Petersen

Özkan

2016

Information and Software Technology

193

182

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Section: Rq1 -Collaboration Modelsmentioning

confidence: 99%

“…After having been successful to obtain commitment and deciding to collaborate, contractual concerns are apparent, namely intellectual property rights, project management [63,53] and the status/role of the researcher. With regard to property rights, it is recommended to be flexible and have simple management [46] (BP86).…”

Section: Problem Formulationmentioning

confidence: 99%

Challenges and best practices in industry-academia collaborations in software engineering: A systematic literature review

Garousi

Petersen

Özkan

2016

Information and Software Technology

193

182

View full text Add to dashboard Cite

“…Rombach and Achatz [6] define innovation in software engineering as both invention and successful implementation. They present a 6-step generic process model for transferring an innovative technology from its creators to organizations which are able to make them a business success.…”

Section: Related Workmentioning

confidence: 99%

Creating Minimum Viable Products in Industry-Academia Collaborations

Münch

Fagerholm

Johnson

et al. 2013

Lean Enterprise Software and Systems

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Abstract. Customer value determines how products and services succeed in the marketplace. Early assessment of customer value is important for software startups, spin-o↵ companies, and new product development in existing companies. Software technology often influences customer value and typically defines the main competitive advantage in both entrepreneurial and intrapreneurial settings. Value-related feedback from real customers is needed during software development and maintenance, and decision-making should be increasingly based on empirical evidence acquired through experiments. Getting such value-related feedback usually requires a so-called minimum viable product (MVP), i.e., an artefact that may be incomplete in functionality or quality, but displays characteristics that allows determining its customer value. In this article we report on a case study which used industry-academia collaboration for creating such an MVP. Our goal was to identify strengths and weaknesses of such an approach to creating MVPs while providing practical recommendations for improvement. The process followed in the case study was found to be very suitable for creating MVPs, reducing company-specific risks when testing customer-value, and advancing university education.

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“…Inventions are very often made at universities and research institutes. To turn those inventions into successful innovations they must be transferred to organizations with adequate marketing experience, global presence and real implementation power [11]. That is the responsibility of information technology transfer process [12], [13], [14], [15], [16], [17], [18].…”

Section: B Technology Transfermentioning

confidence: 99%