Zobrazeno 1 - 10
of 162
pro vyhledávání: '"BENCOMO, NELLY"'
Autor:
Bencomo, Nelly, Cabot, Jordi, Chechik, Marsha, Cheng, Betty H. C., Combemale, Benoit, Wąsowski, Andrzej, Zschaler, Steffen
Modern software-based systems operate under rapidly changing conditions and face ever-increasing uncertainty. In response, systems are increasingly adaptive and reliant on artificial-intelligence methods. In addition to the ubiquity of software with
Externí odkaz:
http://arxiv.org/abs/2408.14074
In an ever-changing world, even software that fulfils its requirements may have un-envisioned aftereffects with significant impacts. We explored how such impacts can be better understood at the pre-design phase in support of organisational preparedne
Externí odkaz:
http://arxiv.org/abs/2306.09959
Autor:
Parra-Ullauri, Juan Marcelo, Zhen, Chen, García-Domínguez, Antonio, Bencomo, Nelly, Zheng, Changgang, Boubeta-Puig, Juan, Ortiz, Guadalupe, Yang, Shufan
A Reinforcement Learning (RL) system depends on a set of initial conditions (hyperparameters) that affect the system's performance. However, defining a good choice of hyperparameters is a challenging problem. Hyperparameter tuning often requires manu
Externí odkaz:
http://arxiv.org/abs/2303.05186
Autor:
Samin, Huma, Paucar, Luis H. Garcia, Bencomo, Nelly, Hurtado, Cesar M. Carranza, Fredericks, Erik M.
Decision-making for self-adaptation approaches need to address different challenges, including the quantification of the uncertainty of events that cannot be foreseen in advance and their effects, and dealing with conflicting objectives that inherent
Externí odkaz:
http://arxiv.org/abs/2105.01978
The mobility of people is at the center of transportation planning and decision-making of the cities of the future. In order to accelerate the transition to zero-emissions and to maximize air quality benefits, smart cities are prioritizing walking, c
Externí odkaz:
http://arxiv.org/abs/2104.07494
Motivational digital systems offer capabilities to engage and motivate end-users to foster behavioral changes towards a common goal. In general these systems use gamification principles in non-games contexts. Over the years, gamification has gained c
Externí odkaz:
http://arxiv.org/abs/2103.15559
Autor:
Zheng, Changgang, Yang, Shufan, Parra-Ullauri, Juan, Garcia-Dominguez, Antonio, Bencomo, Nelly
Reinforcement learning algorithms in multi-agent systems deliver highly resilient and adaptable solutions for common problems in telecommunications,aerospace, and industrial robotics. However, achieving an optimal global goal remains a persistent obs
Externí odkaz:
http://arxiv.org/abs/2103.12192
This paper describes an investigation into value-based software engineering and proposes a comprehensive value taxonomy with an interpretation of design feature implications. The value taxonomy is used to assess the design of Covid19 symptom tracker
Externí odkaz:
http://arxiv.org/abs/2103.01309
Publikováno v:
In International Journal of Human - Computer Studies December 2023 180
