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Productivity Challenges in Digital Transformation and its Implications for Workstream Collaboration Tools.
(University of Hawai'i, 2021)
Digital transformation has brought an unprecedented pace of change and a huge amount of information available for businesses. At the same time, it has also created a number of difficulties for knowledge workers that ...
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An Experimental Review on Deep Learning Architectures for Time Series Forecasting
(World Scientific, 2021)
In recent years, deep learning techniques have outperformed traditional models in many machine learning tasks. Deep neural networks have successfully been applied to address time series forecasting problems, which is a ...
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Lean requirements traceability automation enabled by model-driven engineering
(PeerJ, 2022)
Background: The benefits of requirements traceability, such as improvements in software product and process quality, early testing, and software maintenance, are widely described in the literature. Requirements traceability ...
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Hybridizing humans and robots: An RPA horizon envisaged from the trenches
(Elsevier, 2022)
After the initial hype on RPA, companies have more realistic expectations of this technology. Its current mature vision relegates the end-to-end robotic automation to a less suitable place and considers the human-robot ...
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AIRPA: An Architecture to Support the Execution and Maintenance of AI-Powered RPA Robots
(Springer, 2021)
Robotic Process Automation (RPA) has quickly evolved from automating simple rule-based tasks. Nowadays, RPA is required to mimic more sophisticated human tasks, thus implying its combina tion with Artificial Intelligence ...
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Neural Networks for Aircraft Trajectory Prediction: Answering Open Questions About Their Performance
(IEEE, 2023-03-10)
The increase in air traffic in the recent years has motivated the development of technologies to monitor air space and warn about possible collisions by predicting the trajectories that will be followed by aircraft. In ...
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Uniform and scalable SAT-sampling for configurable systems
(Association for Computing Machinery (ACM), 2020)
Several relevant analyses on configurable software systems remain intractable because they require examining vast and highly-constrained configuration spaces. Those analyses could be addressed through statistical inference, ...
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ARTE: Automated Generation of Realistic Test Inputs for Web APIs
(IEEE Computer Society, 2022)
Automated test case generation for web APIs is a thriving research topic, where test cases are frequently derived from the API specification. However, this process is only partially automated since testers are usually ...
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Automated Validation of Compensable SLAs
(IEEE Computer Society, 2021)
A Service Level Agreement (SLA) regulates the provisioning of a service by defining a set of guarantees. Each guarantee sets a Service Level Objective (SLO) on some service metrics, and optionally a compensation that is ...
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Automated Completion of Partial Configurations as a Diagnosis Task Using FastDiag to Improve Performance
(Springer, 2020)
The completion of partial configurations might represent an expensive computational task. Existing solutions, such as those which use modern constraint satisfaction solvers, perform a complete search, making them unsuitable ...