SHAP: Suppressing the Detection of Inconsistency Hazards by Pattern Learning

• Published in: Proceedings / Asia Pacific Software Engineering Conference Vol. 1; pp. 391 - 398
• Main Authors: Xi, Wang, Xu, Chang, Yang, Wenhua, Yu, Ping, Ma, Xiaoxing, Lu, Jiang
• Format: Conference Proceeding Journal Article
• Language: English
• Published: IEEE 01.12.2014
• Subjects: Conferences; Context; context inconsistency; Context-aware services; Crashes; Dynamic scheduling; Hazards; Heuristic algorithms; inconsistency hazards; Learning; Medical services; Names; pattern learning; Retarding; Run time (computers); Sensors; Software engineering

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 incons...