Logo des Repositoriums
 

Software Product Management: from opinions to data-driven experimentation

Kurzanzeige
dc.contributor.authorBosch, Jan
dc.contributor.editorHelferich, Andreas
dc.contributor.editorPetrik, Dimitri
dc.contributor.editorStrobel, Gero
dc.contributor.editorPeine, Katharina
dc.date.accessioned2023-07-06T10:28:10Z
dc.date.available2023-07-06T10:28:10Z
dc.date.issued2023
dc.description.abstractWith the digitalization of industry and society, product management of digital technologies such as software, data and AI is rapidly becoming critically important. Digitalization offers new tools for product managers to increase the return on investment of R&D including DevOps, DataOps and MLOps. These fast feedback loops allow product managers to adopt a much more experiment- and data-driven approach, e.g. using A/B testing and other experimental approaches. Product management is at the transition point from “what to build” to “what outcomes to accomplish”. The keynote addresses this transformation, the challenges that one has to address while transitioning, the benefits as well as the new techniques available. The talk will share numerous examples from industry based on our research in the context of Software Center (www.software-center.se), a collaboration between 15 international companies and 5 Swedish universities focused on accelerating the digital transformation of the European software intensive industry.en
dc.identifier.doi10.18420/icspm2023-001
dc.identifier.isbn978-3-88579-728-9
dc.identifier.issn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/41806
dc.language.isoen
dc.pubPlaceBonn
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartof1st International Conference on Software Product Management 2023
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-334
dc.subjectSoftware Product Management
dc.subjectexperiments
dc.subjectdata-driven
dc.titleSoftware Product Management: from opinions to data-driven experimentationen
dc.typeText/Conference Paper
mci.conference.date03.-04. May 2023
mci.conference.locationFrankfurt am Main, Germany
mci.conference.sessiontitleAcademic Keynote
mci.reference.pages11

Dateien

Originalbündel
1 - 1 von 1
Vorschaubild nicht verfügbar
Name:
icspm2023-01.pdf
Größe:
55.76 KB
Format:
Adobe Portable Document Format
Herunterladen

Sammlungen

P334 - 1st International Conference on Software Product Management