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Found 7 papers, 2 papers with code
Analyzing Prompt Influence on Automated Method Generation: An Empirical Study with Copilot
For instance, developers can ask for new code directly from within their IDEs by writing natural language prompts, and integrated services based on generative AI, such as Copilot, immediately respond to prompts by providing ready-to-use code snippets.
MutaBot: A Mutation Testing Approach for Chatbots
Mutation testing is a technique aimed at assessing the effectiveness of test suites by seeding artificial faults into programs.
An Energy-Aware Approach to Design Self-Adaptive AI-based Applications on the Edge
In this paper, we present an energy-aware approach for the design and deployment of self-adaptive AI-based applications that can balance application objectives (e. g., accuracy in object detection and frames processing rate) with energy consumption.
Towards Self-Adaptive Peer-to-Peer Monitoring for Fog Environments
In such environments, monitoring solutions have to cope with the heterogeneity of the devices and platforms present in the Fog, the limited resources available at the edge of the network, and the high dynamism of the whole Cloud-to-Thing continuum.
Cloud Failure Prediction with Hierarchical Temporal Memory: An Empirical Assessment
Hierarchical Temporal Memory (HTM) is an unsupervised learning algorithm inspired by the features of the neocortex that can be used to continuously process stream data and detect anomalies, without requiring a large amount of data for training nor requiring labeled data.
On Introducing Automatic Test Case Generation in Practice: A Success Story and Lessons Learned
While costs and benefits of automating many testing activities in industrial practice (including managing the quality process, executing large test suites, and managing regression test suites) are well understood and documented, the benefits and obstacles of automatically generating system test suites in industrial practice are not well reported yet, despite the recent progresses of automated test case generation tools.
FILO: FIx-LOcus Localization for Backward Incompatibilities Caused by Android Framework Upgrades
Mobile operating systems evolve quickly, frequently updating the APIs that app developers use to build their apps.
Software Engineering
