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A green program lifecycle supporting energy-efficient applications
(Cornell University, 2016)
With the advent of the Internet of Things (IoT), the percentage of global emissions attributable to Information Systems is expected to further increase in the coming years, due to a proliferation of Internet-connected ...
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Études théoriques et empiriques sur la métaphore dans l’image : une revue de la littérature
(NecPlus, 2017)
La métaphore est une figure de style par laquelle on transfère la signification d’un terme à celle d’un autre terme. Le plus souvent verbale, la métaphore se trouve aussi présentée dans des images. Cet article propose une ...
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Model Transformation Testing and Debugging: A Survey
(ACM Digital Library, 2022-11-21)
Model transformations are the key technique in Model-Driven Engineering (MDE) to manipulate and construct models. As a consequence, the correctness of software systems built with MDE approaches relies mainly on the correctness ...
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A generic natural language interface for task planning : application to a mobile robot
(Elsevier, 2000)
This paper presents a generic natural language interface that can be applied to the teleoperation of di!erent kinds of complex interactive systems. Through this interface the operators can ask for simple actions or more ...
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Robotic Process Automation: A Scientific and Industrial Systematic Mapping Study
(IEEE Computer Society, 2020)
The automation of robotic processes has been experiencing an increasing trend of interest in recent times. However, most of literature describes only theoretical foundations on RPA or industrial results after implementing ...
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Interorganizational Business Modeling: an Approach for Traceability of Goals, Organizational Models and Business Processes
(IEEE Computer Society, 2011)
The main goal of business modeling is to understand organizations to provide software solutions with high added value. This is a task far from trivial, and becomes more complex when it is modeled not a single ...
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Performance mutation testing: hypothesis and open questions
(Elsevier, 2018)
Performance bugs are common, costly, and elusive. Performance tests aim to detect performance bugs by running the program with specific inputs and determining whether the observed behaviour is acceptable. There not ...
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A unified model representation of machine learning knowledge
(Rinton Press, 2020)
Nowadays, Machine Learning (ML) algorithms are being widely applied in virtually all possible scenarios. However, developing a ML project entails the effort of many ML experts who have to select and configure the appropriate ...
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Software diversity: state of the art and perspectives
(Springer, 2012)
Diversity is prevalent in modern software systems to facilitate adapting the software to customer requirements or the execution environment. Diversity has an impact on all phases of the software development process. ...
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An adaptive methodology to discretize and select features
(SciEdu Press, 2013)
A lot of significant data describing the behavior or/and actions of systems can be collected in several domains. These data define some aspects, called features, that can be clustered in several classes. A qualitative or ...