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Ponencia
Self-Adaptive Energy-Efficent Applications: The HADAS Developing Approach
(IEEE Computer Society, 2017)
Software systems have a strong impact on the energy consumption of the hardware they use. For this reason, software developers should be more aware of the energy consumed by their systems. Moreover, software systems ...
Ponencia
A Template–Based Approach to Describing Metamorphic Relations
(IEEE Computer Society, 2017)
Metamorphic testing enables the generation of test cases in the absence of an oracle by exploiting relations among different executions of the program under test, called metamorphic relations. In a recent survey, we ...
Ponencia
SmarTest: A Test Case Prioritization Tool for Drupal
(Association for Computing Machinery (ACM), 2017)
Test case prioritization techniques aim to identify the optimal ordering of tests to accelerate the detection of faults. The importance of these techniques has been recognized in the context of Software Product Lines (SPLs), ...
Ponencia
Domain-Specific Languages and Model Transformations for Soft ware Product Line
(ACM Digital Library, 2017)
is tutorial introduces and demonstrates the use of Model-Driven Engineering in So ware Product Lines. In particular, it teaches participants about domain-speci c languages, metamodeling and modeling, and where these ...
Artículo
Analysis of the Influence of Starting Materials and Processing Conditions on the Properties of W/Cu Alloys
(MDPI, 2017)
In this work, a study of the influence of the starting materials and the processing time used to developW/Cu alloys is carried out. Regarding powder metallurgy as a promising fabrication route, the difficulties in ...
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
Machine learning techniques to discover genes with potential prognosis role in Alzheimer’s disease using different biological sources
(Elsevier, 2017)
Alzheimer’s disease is a complex progressive neurodegenerative brain disorder, being its prevalence ex pected to rise over the next decades. Unconventional strategies for elucidating the genetic mechanisms are necessary ...
Ponencia
An Approach for Debugging Model Transformations Applying Spectrum-Based Fault Localization
(Universidad de la Laguna, 2017)
Model transformations play a cornerstone role in Model-Driven Engineering as they provide the essential mechanisms for manipulating and transforming models. The use of assertions for checking their correctness has ...
Ponencia
Automated Analysis of Cloud Offerings for Optimal Service Provisioning
(Springer, 2017)
Cloud computing paradigm has brought an overwhelming variety of cloud services from different providers, each one offering a plethora of configuration and purchasing options for them. Users may have certain requirements ...