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Continuous Data-driven Software Engineering: Towards a Research Agenda
Technical University Munich, Munich, Germany.
University of Koblenz-Landau, Mainz, Germany.
Technical University Munich, Munich, Germany.
Chalmers University of Technology, Goteborg, Sweden.
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2019 (Engelska)Ingår i: Software Engineering Notes: an Informal Newsletter of The Specia, ISSN 0163-5948, E-ISSN 1943-5843, Vol. 44, nr 3, s. 60-64Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

The rapid pace with which software needs to be built, together with the increasing need to evaluate changes for end users both quantitatively and qualitatively calls for novel software engineering approaches that focus on short release cycles, continuous deployment and delivery, experiment-driven feature development, feedback from users, and rapid tool-assisted feedback to developers. To realize these approaches there is a need for research and innovation with respect to automation and tooling, and furthermore for research into the organizational changes that support flexible data-driven decision-making in the development lifecycle. Most importantly, deep synergies are needed between software engineers, managers, and data scientists. This paper reports on the results of the joint 5th International Workshop on Rapid Continuous Software Engineering (RCoSE 2019) and the 1st International Workshop on Data-Driven Decisions, Experimentation and Evolution (DDrEE 2019), which focuses on the challenges and potential solutions in the area of continuous data-driven software engineering.  

 

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Association for Computing Machinery (ACM), 2019. Vol. 44, nr 3, s. 60-64
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URN: urn:nbn:se:mau:diva-51888DOI: 10.1145/3356773.3356811OAI: oai:DiVA.org:mau-51888DiVA, id: diva2:1662793
Tillgänglig från: 2022-06-01 Skapad: 2022-06-01 Senast uppdaterad: 2022-06-02Bibliografiskt granskad

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Olsson, Helena H.

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Institutionen för datavetenskap och medieteknik (DVMT)
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Software Engineering Notes: an Informal Newsletter of The Specia
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Totalt: 27 träffar
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