Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Jordan Henkel"'
Autor:
Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Jordan Henkel, Matteo Interlandi, Subru Krishnan, Brian Kroth, Venkatesh Emani, Wentao Wu, Ce Zhang, Markus Weimer, Avrilia Floratou, Carlo Curino, Konstantinos Karanasos
Publikováno v:
ACM SIGMOD Record. 51:30-37
The recent success of machine learning (ML) has led to an explosive growth of systems and applications built by an ever-growing community of system builders and data science (DS) practitioners. This quickly shifting panorama, however, is challenging
Publikováno v:
ICSE (Companion Volume)
Docker is a tool for lightweight OS-level virtualization. Docker images are created by performing a build, controlled by a source-level artifact called a Dockerfile. We studied Dockerfiles on GitHub, and -- to our great surprise -- found that over a
Publikováno v:
MSR
Dockerfiles are one of the most prevalent kinds of DevOps artifacts used in industry. Despite their prevalence, there is a lack of sophisticated semantics-aware static analysis of Dockerfiles. In this paper, we introduce a dataset of approximately 17
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::659eb36c2d3e6221565d2f458321db10
http://arxiv.org/abs/2003.12912
http://arxiv.org/abs/2003.12912
With the growing use of DevOps tools and frameworks, there is an increased need for tools and techniques that support more than code. The current state-of-the-art in static developer assistance for tools like Docker is limited to shallow syntactic va
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11d88b63837a00058360c4ad04fb808e
http://arxiv.org/abs/2002.03064
http://arxiv.org/abs/2002.03064