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MAPE-K Loop-Based Goal Model Generation Using Generative AI

2023 IEEE 31st International Requirements Engineering Conference Workshops (REW), 2023
Goal modeling constitutes a systematic modeling of representation, specifically crafted to capture and depict stakeholders' intentions, desires, and objectives. Notwithstanding its importance, describing the entire scope of goals to be achieved remains a
Hiroyuki Nakagawa, Shinichi Honiden
semanticscholar   +1 more source

DDA-MAPEKit: A Framework for Dynamic Difficulty Adjustment Based on MAPE-K Loop

Brazilian Symposium on Games and Digital Entertainment, 2023
Dynamic Difficulty Adjustment (DDA) has emerged as a prominent solution to address the demand for adaptive gameplay in digital games. However, various research challenges within the realm of DDA still require attention.
C. H. R. Souza   +3 more
semanticscholar   +1 more source

Integration Of The Mape-K Loop In Digital Twins

Annual Modeling and Simulation Conference, 2022
In recent years the concept of Digital Twins (DTs) has gained significant attention, in particular in the manufacturing industry. In proper DTs there is a bidirectional connection to/from their Physical Twins such that it is possible to leave humans out ...
Hao Feng   +6 more
semanticscholar   +1 more source

MAPE accuracy of CPO Forecasting by Applying Fuzzy Time Series

2021 8th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), 2021
Accuracy in each forecasting is needed in order to find out how much error will occur from the forecasting results. The forecasting process is included in the data mining process, which is to convert data into new knowledge.
Arif Ridho Lubis   +4 more
semanticscholar   +1 more source

Forecast Error Calculation with Mean Squared Error (MSE) and Mean Absolute Percentage Error (MAPE)

JINAV: Journal of Information and Visualization, 2020
Calculation errors in forecasting a data are very important from a forecasting process. The high level of forecasting accuracy will affect the level of confidence in forecasting decision making.
A. S. Ahmar
semanticscholar   +1 more source

Breaking the Loop: AWARE is the New MAPE-K

SIGSOFT FSE Companion
Self-adaptive systems have traditionally relied on the MAPE-K loop. It consists of a centralized, reactive, and sequential loop for monitoring, analyzing, planning, and executing system adaptations.
Brell Peclard Sanwouo Chekam   +2 more
semanticscholar   +1 more source

MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding

International Conference on Learning Representations
Protein-Protein Interactions (PPIs) are fundamental in various biological processes and play a key role in life activities. The growing demand and cost of experimental PPI assays require computational methods for efficient PPI prediction.
Lirong Wu   +6 more
semanticscholar   +1 more source

Model-Based Testing for MAPE-K adaptation control loops

International Conference on Software Testing, Verification and Validation Workshops, 2020
Self-adaptation is an effective solution for complex systems that need to adapt themselves to external changes while keeping internal goals; it can be realized in terms of MAPE-K feedback control loops, organized according to specific MAPE patterns in ...
Paolo Arcaini   +3 more
semanticscholar   +1 more source

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