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Mostrando ítems 1-10 de 17
Artículo
Towards fast metamodel evolution in LiquidML
(River Publishers, 2017)
The software industry is applying Model-driven development approaches due to a core set of benefits, such as raising the level of abstraction and reducing coding errors. However, their underlying modeling languages tend ...
Artículo
Benchmarking real-time vehicle data streaming models for a smart city
(Elsevier, 2017)
The information systems of smart cities offer project developers, institutions, industry and experts the possibility to handle massive incoming data from diverse information sources in order to produce new information ...
Artículo
Automatic verification and validation wizard in web-centred end-user software engineering
(Elsevier, 2017)
This paper addresses one of the major web end-user software engineering (WEUSE) challenges, namely, how to verify and validate software products built using a life cycle enacted by end-user programmers. Few end-user development ...
Artículo
Exploiting synergies of mobile mapping sensors and deep learning for traffic sign recognition systems
(Elsevier, 2017)
This paper presents an efficient two-stage traffic sign recognition system. First, 3D point cloud data is acquired by a LINX Mobile Mapper system and processed to automatically detect traffic signs based on their ...
Artículo
Design of a Speed Assistant to Minimize the Driver Stress
(Ediciones Universidad de Salamanca, 2017)
Stress is one of the most important factors in traffic accidents. When the driver is in this mental state, their skills and abilities are reduced. In this paper, we propose an algorithm to estimate the optimal speed to ...
Artículo
Reverse engineering language product lines from existing DSL variants
(Elsevier, 2017)
The use of domain-specific languages (DSLs) has become a successful technique to develop complex sys tems. In this context, an emerging phenomenon is the existence of DSL variants, which are different versions of a DSL ...
Artículo
Run-time prediction of business process indicators using evolutionary decision rules
(Elsevier, 2017)
Predictive monitoring of business processes is a challenging topic of process mining which is concerned with the prediction of process indicators of running process instances. The main value of predictive monitoring is to ...
Artículo
Identifying functional requirements inconsistencies in multiteam projects framed into a model-based methodology
(River Publishers, 2017)
REP (Requirements Engineering Process) is one of the most essential processes within the software project life cycle because it allows describing software product requirements. This specification should be as consistent ...
Artículo
Edge and Cloud Pricing for the Sharing Economy
(IEEE Computer Society, 2017)
As technology resonates in all layers of society, the impulse of shifting toward new spaces for a cooperative economy can be envisioned. Smart cities repre-sent an ideal laboratory to design and explore new opportunities, ...
Artículo
Assessment of C++ object-oriented mutation operators: A selective mutation approach
(Wiley, 2017)
Mutation testing is an effective but costly testing technique. Several studies have observed that some mutants can be redundant and therefore removed without affecting its effectiveness. Sim ilarly, some mutants may be ...