Zobrazeno 1 - 10
of 406
pro vyhledávání: '"A. Alshahwan"'
Autor:
Alshahwan, Nadia, Blasi, Arianna, Bojarczuk, Kinga, Ciancone, Andrea, Gucevska, Natalija, Harman, Mark, Schellaert, Simon, Harper, Inna, Jia, Yue, Królikowski, Michał, Lewis, Will, Martac, Dragos, Rojas, Rubmary, Ustiuzhanina, Kate
This paper reports the results of the deployment of Rich-State Simulated Populations at Meta for both automated and manual testing. We use simulated users (aka test users) to mimic user interactions and acquire state in much the same way that real us
Externí odkaz:
http://arxiv.org/abs/2403.15374
Autor:
Alshahwan, Nadia, Chheda, Jubin, Finegenova, Anastasia, Gokkaya, Beliz, Harman, Mark, Harper, Inna, Marginean, Alexandru, Sengupta, Shubho, Wang, Eddy
This paper describes Meta's TestGen-LLM tool, which uses LLMs to automatically improve existing human-written tests. TestGen-LLM verifies that its generated test classes successfully clear a set of filters that assure measurable improvement over the
Externí odkaz:
http://arxiv.org/abs/2402.09171
TestGen automatically generates unit tests, carved from serialized observations of complex objects, observed during app execution. We describe the development and deployment of TestGen at Meta. In particular, we focus on the scalability challenges ov
Externí odkaz:
http://arxiv.org/abs/2402.06111
Autor:
Alshahwan, Nadia, Harman, Mark, Harper, Inna, Marginean, Alexandru, Sengupta, Shubho, Wang, Eddy
In this paper we address the following question: How can we use Large Language Models (LLMs) to improve code independently of a human, while ensuring that the improved code - does not regress the properties of the original code? - improves the origin
Externí odkaz:
http://arxiv.org/abs/2402.04380
Publikováno v:
Risk Management and Healthcare Policy, Vol Volume 17, Pp 2483-2491 (2024)
Omar Alqudah,1 Hamzeh Feras Alshahwan,2,* Jehad Feras Alsamhouri,2,* Saif Yamin,2,* Ahmad Kaffaf,2,* Mohannad Alassaf,2,* Zaid Alwarawrah3 1Department of Medicine, Division of Hepatology and Gastroenterology, Jordan University Hos
Externí odkaz:
https://doaj.org/article/0f1b5d0c60794f8bba70063b2fb06788
Autor:
Saif Yamin, Hamzeh Feras Alshahwan, Jehad Feras AlSamhori, Osama Alfreahat, Abdallah Alhalbouni, Zaid Alwarawrah
Publikováno v:
Transplantology, Vol 5, Iss 3, Pp 208-215 (2024)
Background: Organ donation is a critical component in the field of transplantation medicine, offering lifesaving opportunities for patients with end-stage organ failure. This study investigated the knowledge, attitude, and practice (KAP) survey regar
Externí odkaz:
https://doaj.org/article/a721f3f6d87e49be901ed7f37cb3cc49
Autor:
Amnah S. Alshahwan, Mohammed N. Alyemeni, Mona S. Alwahibi, Nadi Awad Al-Harbi, Salem Mesfir Al-Qahtani, Abdullah Alaklabi
Publikováno v:
Journal of King Saud University: Science, Vol 36, Iss 10, Pp 103444- (2024)
This research was conducted to study the effects of saline stress (9:1 M ratio of NaCl: Na2SO4, pH 6.27–6.49), alkaline stress (9:1 M ratio of NaHCO3: Na2CO3, pH 9.11–9.25) and saline/alkaline combined stress (NaCl: Na2SO4:NaHCO3: Na2CO3 9:1:9:1,
Externí odkaz:
https://doaj.org/article/9122314ea7354d2b843e0b4f452ceeae
Autor:
Sura Al Zoubi, Lobna Gharaibeh, Enas A. Amaireh, Husam AlSalamat, Mohammad Ghassab Deameh, Amjad Almansi, Yaqeen Majed Al Asoufi, Hadeel Alshahwan, Zaha Al-Zoubi
Publikováno v:
BMC Health Services Research, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Medication errors are preventable incidents resulting from improper use of drugs that may cause harm to patients. They thus endanger patient safety and offer a challenge to the efficiency and efficacy of the healthcare system. Bot
Externí odkaz:
https://doaj.org/article/a43eb407fa184e6bbbbd8a7ead85e63c
Autor:
Alshahwan, Amnah S., Alyemeni, Mohammed N., Alwahibi, Mona S., Awad Al-Harbi, Nadi, Mesfir Al-Qahtani, Salem, Alaklabi, Abdullah
Publikováno v:
In Journal of King Saud University - Science November 2024 36(10)
Publikováno v:
In Current Problems in Surgery November 2024 61(11)