Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Prabhat Ram"'
Autor:
Michal Choras, Tomasz Springer, Rafal Kozik, Lidia Lopez, Silverio Martinez-Fernandez, Prabhat Ram, Pilar Rodriguez, Xavier Franch
Publikováno v:
IEEE Access, Vol 8, Pp 78452-78466 (2020)
Context: Agile software development has become commonplace in software development companies due to the numerous benefits it provides. However, conducting Agile projects is demanding in Small and Medium Enterprises (SMEs), because projects start and
Externí odkaz:
https://doaj.org/article/02423ed74b2c4a7d895510e0196d5ad7
Autor:
Silverio Martinez-Fernandez, Anna Maria Vollmer, Andreas Jedlitschka, Xavier Franch, Lidia Lopez, Prabhat Ram, Pilar Rodriguez, Sanja Aaramaa, Alessandra Bagnato, Michal Choras, Jari Partanen
Publikováno v:
IEEE Access, Vol 7, Pp 68219-68239 (2019)
In the last decade, modern data analytics technologies have enabled the creation of software analytics tools offering real-time visualization of various aspects related to software development and usage. These tools seem to be particularly attractive
Externí odkaz:
https://doaj.org/article/e0874c9e0c2f4137964cfd93581b4179
Autor:
Grzegorz Muszynski, Vitaliy Kurlin, Dmitriy Morozov, Michael Wehner, Karthik Kashinath, Prabhat Ram
Publikováno v:
Special Publications. :221-235
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee0695be92ecc90dc0dfdc606352a11a
https://doi.org/10.1002/9781119467557.ch13
https://doi.org/10.1002/9781119467557.ch13
Autor:
Mayur Mudigonda, Prabhat Ram, Karthik Kashinath, Evan Racah, Ankur Mahesh, Yunjie Liu, Christopher Beckham, Jim Biard, Thorsten Kurth, Sookyung Kim, Samira Kahou, Tegan Maharaj, Burlen Loring, Christopher Pal, Travis O'Brien, Kenneth E. Kunkel, Michael F. Wehner, William D. Collins
Publikováno v:
Deep learning for the Earth Sciences
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff3a0cf3fe5c937a9fde02021e27740b
https://doi.org/10.1002/9781119646181.ch12
https://doi.org/10.1002/9781119646181.ch12
Autor:
Steven Farrell, Murali Emani, Jacob Balma, Lukas Drescher, Aleksandr Drozd, Andreas Fink, Geoffrey Fox, David Kanter, Thorsten Kurth, Peter Mattson, Dawei Mu, Amit Ruhela, Kento Sato, Koichi Shirahata, Tsuguchika Tabaru, Aristeidis Tsaris, Jan Balewski, Ben Cumming, Takumi Danjo, Jens Domke, Takaaki Fukai, Naoto Fukumoto, Tatsuya Fukushi, Balazs Gerofi, Takumi Honda, Toshiyuki Imamura, Akihiko Kasagi, Kentaro Kawakami, Shuhei Kudo, Akiyoshi Kuroda, Maxime Martinasso, Satoshi Matsuoka, Henrique Mendonca, Kazuki Minami, Prabhat Ram, Takashi Sawada, Mallikarjun Shankar, Tom St. John, Akihiro Tabuchi, Venkatram Vishwanath, Mohamed Wahib, Masafumi Yamazaki, Junqi Yin
Scientific communities are increasingly adopting machine learning and deep learning models in their applications to accelerate scientific insights. High performance computing systems are pushing the frontiers of performance with a rich diversity of h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1d0a43c2f3602f2bf9c531d477eabaf
http://arxiv.org/abs/2110.11466
http://arxiv.org/abs/2110.11466
Autor:
Prabhat Ram
Appendices for the main paper:Topic Modeling for Capitalizing on Developer-Tester Communication
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::beaa137ba26737dd2c87938740894bf7
Publikováno v:
Product-Focused Software Process Improvement ISBN: 9783030914516
Communication between developers and testers can be a rich source of insights into software development processes and practices, which may not be easily discoverable from other means like retrospectives or project roadmaps. With the objective of deri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83cd543b4b7d18cef3c35dd183d6fd28
https://doi.org/10.1007/978-3-030-91452-3_17
https://doi.org/10.1007/978-3-030-91452-3_17
Autor:
Alessandra Bagnato, Pilar Rodríguez, Milla Ahola, Michał Choraś, Silverio Martínez-Fernández, Prabhat Ram, Markku Oivo, Rafał Kozik, Sanja Aaramaa
Publikováno v:
EASE
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Background: Practitioners would like to take action based on software metrics, as long as they find them reliable. Existing literature explores how metrics can be made reliable, but remains unclear if there are other conditions necessary for a metric
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c08d67d0a25267ac46dba745788a145b
http://urn.fi/urn:nbn:fi-fe2020060841026
http://urn.fi/urn:nbn:fi-fe2020060841026
Autor:
Antonin Abherve, Pilar Rodríguez, Rafał Kozik, Michał Choraś, Alessandra Bagnato, Markku Oivo, Prabhat Ram
Publikováno v:
Product-Focused Software Process Improvement ISBN: 9783030641474
PROFES
PROFES
Practitioners adopt software metrics programs to support their software development from the perspective of either overall quality, performance, or both. Current literature details and justifies the role of a metrics program in a software organizatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fec5c9b4bb63e67ef63720e0b13808c
https://doi.org/10.1007/978-3-030-64148-1_26
https://doi.org/10.1007/978-3-030-64148-1_26
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
ICSSP
2019 IEEE/ACM International Conference on Software and System Processes (ICSSP)
Universitat Politècnica de Catalunya (UPC)
ICSSP
2019 IEEE/ACM International Conference on Software and System Processes (ICSSP)
Existing literature proposes success factors for establishing metrics programs. However, very few studies focus on factors that could ensure long-term use of metrics, and even fewer studies investigate such factors in the context of Agile Software De
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0288bba0584d29f53510e724d2ad1e0
http://urn.fi/urn:nbn:fi-fe2019103136088
http://urn.fi/urn:nbn:fi-fe2019103136088