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Alexander Wise
Researcher at University of Massachusetts Amherst
Publications - 29
Citations - 942
Alexander Wise is an academic researcher from University of Massachusetts Amherst. The author has contributed to research in topics: Process (engineering) & Executable. The author has an hindex of 14, co-authored 29 publications receiving 928 citations.
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Proceedings ArticleDOI
Little-JIL/Juliette: a process definition language and interpreter
TL;DR: Little-JIL, a language for programming coordination in processes is an executable, high-level language with a formal (yet graphical) syntax and rigorously defined operational semantics that provides rich control structures while relying on separate systems for resource, artifact and agenda management.
Journal ArticleDOI
A framework for event-based software integration
TL;DR: The EBI framework is specified, which provides a flexible, object-oriented model for discussing and comparing event-based integration approaches and is demonstrated how to use the framework as a reference model by comparing and contrasting three well-known integration systems.
Journal ArticleDOI
Exception Handling Patterns for Process Modeling
Barbara Staudt Lerner,Stefan C. Christov,Leon J. Osterweil,R. Bendraou,Udo Kannengiesser,Alexander Wise +5 more
TL;DR: This paper describes the exception handling patterns using three process modeling notations: UML 2.0 Activity Diagrams, BPMN, and Little-JIL and discusses the relative merits of the three notations with respect to their ability to represent these patterns.
Book ChapterDOI
Using Little-JIL to coordinate agents in software engineering
Alexander Wise,Aaron G. Cass,Barbara Staudt Lerner,E. K. McCall,Leon J. Osterweil,Stanley M. Sutton +5 more
TL;DR: Little-JIL is an executable, high-level process programming language with a formal (yet graphical) syntax and rigorously defined operational semantics that provides a rich set of control structures while relying on separate systems for support in areas such as resource, artifact and agenda management.
Proceedings ArticleDOI
Simulating patient flow through an Emergency Department using process-driven discrete event simulation
TL;DR: Preliminary results suggest that the proposed architecture provides considerable ease of use and flexibility for specifying a wider range of simulation problems, thus creating the possibility of carrying out a wide range of comparisons of different approaches to ED improvement.