Zobrazeno 1 - 10
of 131
pro vyhledávání: '"Helena Holmström Olsson"'
Autor:
Helena Holmström Olsson, Jan Bosch
Publikováno v:
CLEI Electronic Journal, Vol 21, Iss 1, Pp 2:1-2:21 (2018)
Today, connected software-intensive products permeate virtually every aspect of our lives and the amount of customer and product data that is collected by companies across domains is exploding. In revealing what products we use, when and how we use t
Externí odkaz:
https://doaj.org/article/a4b22c6cc1f242328bb493a50fd64d22
Publikováno v:
Journal of Software: Evolution and Process.
Publikováno v:
Information and Software Technology. 159:107200
Publikováno v:
Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI.
Publikováno v:
IEEE Software. 37:60-67
Unlike other techniques for learning from customers, online controlled experiments (OCEs) establish an accurate and causal relationship between a change and the impact observed. We show that OCEs help optimize infrastructure needs and aid in project
Publikováno v:
Lecture Notes in Business Information Processing ISBN: 9783031207051
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3723384b21bba46aa41a9ba538c4d346
https://doi.org/10.1007/978-3-031-20706-8_10
https://doi.org/10.1007/978-3-031-20706-8_10
Deep learning (DL) based software systems are difficult to develop and maintain in industrial settings due to several challenges. Data management is one of the most prominent challenges which complicates DL in industrial deployments. DL models are da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3f3433432f0197cb34cb7160c232dd2
http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-53358
http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-53358
Autor:
Helena Holmström Olsson
Publikováno v:
Accelerating Digital Transformation ISBN: 9783031108723
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2d54bd695e38060ecb0ee3e60437c20
https://doi.org/10.1007/978-3-031-10873-0_13
https://doi.org/10.1007/978-3-031-10873-0_13
Publikováno v:
Journal of Software: Evolution and Process. 35
Continuous experimentation (CE) refers to a set of practices used by software companies to rapidly assess the usage, value, and performance of deployed software using data collected from customers and systems in the field using an experimental method
Publikováno v:
SEAA
In recent years, with more edge devices being put into use, the amount of data that is created, transmitted and stored is increasing exponentially. Moreover, due to the development of machine learning algorithms, modern software-intensive systems are