127 citations · 188 across the 15 of their papers we have counts for
15 papers
Heuristic-based Mining of Service Behavioral Models from Interaction Traces
Muhammad Ashad Kabir, Jun Han, Md. Arafat Hossain +1
Software behavioral models have proven useful for emulating and testing software systems. Many techniques have been proposed to infer behavioral models of software systems from the…
SDSN@RT: a middleware environment for single-instance multi-tenant cloud applications
Indika Kumara, Jun Han, Alan Colman +3
With the Single-Instance Multi-Tenancy (SIMT) model for composite Software-as-a-Service (SaaS) applications, a single composite application instance can host multiple tenants, yiel…
FM4SN: A Feature-Oriented Approach to Tenant-Driven Customization of Multi-Tenant Service Networks
Indika Kumara, Jun Han, Alan Colman +2
In a multi-tenant service network, multiple virtual service networks (VSNs), one for each tenant, coexist on the same service network. The tenants themselves need to be able to dyn…
BehavDT: A Behavioral Decision Tree Learning to Build User-Centric Context-Aware Predictive Model
Iqbal H. Sarker, Alan Colman, Jun Han +3
This paper formulates the problem of building a context-aware predictive model based on user diverse behavioral activities with smartphones. In the area of machine learning and dat…
CalBehav: A Machine Learning based Personalized Calendar Behavioral Model using Time-Series Smartphone Data
Iqbal H. Sarker, Alan Colman, Jun Han +2
The electronic calendar is a valuable resource nowadays for managing our daily life appointments or schedules, also known as events, ranging from professional to highly personal. R…
ContextServ: Towards Model-Driven Development of Context-AwareWeb Services
Quan Z. Sheng, Jian Yu, Hanchuan Xu +4
In the era of Web of Things and Services, Context-aware Web Services (CASs) are emerging as an important technology for building innovative context-aware applications. CASs enable…