SHAP: Suppressing the Detection of Inconsistency Hazards by Pattern Learning

Abstract

Context-aware applications rely on contexts derived from sensory data to adapt their behavior. However, contexts can be inconsistent and cause application anomaly or crash. One popular solution is to detect and resolve context inconsistencies at runtime. However, we observe that many detected inconsistencies do not indicate real context problems. Instead… (More)
DOI: 10.1109/APSEC.2014.64

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Cite this paper

@article{Xi2014SHAPST, title={SHAP: Suppressing the Detection of Inconsistency Hazards by Pattern Learning}, author={Wang Xi and Chang Xu and Wenhua Yang and Ping Yu and Xiaoxing Ma and Jiang Lu}, journal={2014 21st Asia-Pacific Software Engineering Conference}, year={2014}, volume={1}, pages={391-398} }