Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Yousef Hassouneh"'
Publikováno v:
IEEE Access, Vol 9, Pp 14239-14258 (2021)
Software fault prediction (SFP) is a challenging process that any successful software should go through it to make sure that all software components are free of faults. In general, soft computing and machine learning methods are useful in tackling th
Externí odkaz:
https://doaj.org/article/2a98ec15eb7e49ee809cba47e643ff0a
Publikováno v:
IEEE Access, Vol 8, Pp 8041-8055 (2020)
Software fault prediction (SFP) is a complex problem that meets developers in the software development life cycle. Collecting data from real software projects, either while the development life cycle or after lunch the product, is not a simple task,
Externí odkaz:
https://doaj.org/article/ddcf58c401a24ce6959080e4aeb564b0
Publikováno v:
Future Internet, Vol 14, Iss 11, p 339 (2022)
Identity federation allows one to link a user’s digital identities across several identity management systems. Federated identity management (FIM) ensures that users have easy access to the available resources. However, scaling FIM to numerous part
Externí odkaz:
https://doaj.org/article/479ed832338e431c8e935566b5e0be14
Publikováno v:
IEEE Access, Vol 9, Pp 14239-14258 (2021)
Software fault prediction (SFP) is a challenging process that any successful software should go through it to make sure that all software components are free of faults. In general, soft computing and machine learning methods are useful in tackling th
Autor:
Raghad Qutteneh, Yousef Hassouneh, Yara Al-Shafie, Abdellatif Abu Issa, Iyad Tumar, Sondos Dahbour
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030010539
IntelliSys (1)
IntelliSys (1)
Due to the noticeable increase in population and the number of moving vehicles in the streets in big cities, intelligent transportation system in smart city would be a good solution that leads to a comfortable life for the citizens and to reduce the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a621009e7e0cb8013995b51050859df0
https://doi.org/10.1007/978-3-030-01054-6_80
https://doi.org/10.1007/978-3-030-01054-6_80
Autor:
Dimosthenis Anagnostopoulos, George Bravos, Abdallatif S. Abu-Issa, George Dimitrakopoulos, Mohamed Hamdi, Iyad Tumar, Adnane Ghannem, Pericles Loucopoulos, Hany H. Ammar, Yousef Hassouneh
Publikováno v:
Qatar Foundation Annual Research Conference Proceedings Volume 2018 Issue 3.
Capability oriented requirements engineering is an emerging research area where designers are faced with the challenge of analyzing changes in the business domain, capturing user requirements, and developing adequate IT solutions taking into account
Publikováno v:
2017 Intelligent Systems Conference (IntelliSys).
With the huge amount of available information and products, the importance of recommender systems has increased. Currently, these systems are integrating the user's context and social information to create context aware recommender systems. In the fu
Publikováno v:
2017 International Conference on Engineering and Technology (ICET).
Adaptive systems need to maintain a set of high-level goals that should be satisfied regardless of the environmental conditions [1]. Thus, such systems need to monitor their environment at run-time and adapt their behavior in response to the changing
Autor:
Yousef Hassouneh, Laila Shreteh, Huda Nawawreh, Mohammad Hussein, Abdallatif S. Abu-Issa, Iyad Tumar, Yassmeen Salman
Publikováno v:
2017 International Conference on Engineering and Technology (ICET).
This paper presents a design and implementation of a multitype, proactive and context-aware recommender system in the environment of Internet of Things (IoT). The main features of this recommender system includes the consideration of the context of t
Publikováno v:
SCC
This paper studies heuristic search-based optimization of service compositions. We have investigated applying Genetic Algorithms (GA) to optimize service-oriented architectures (SOA) in terms of security goals and cost, we help software Engineers to