Session I : Modularization and Re-use in Software Architecture: Is it time
to look outside the box?
Chair: Kendra Cooper, University of Texas-Dallas
Contact: kcooper[AT]utdallas.edu
The
discipline of software architecture has been maturing for over 40
years. The challenging problems of how to systematically modularize and
re-use software engineering artifacts in software architecture continue
to be open research issues. Recently, these problems have been
considered from multiple paradigms in distinct, active communities
including agent-oriented, aspect-oriented, component-based,
product-line engineering, service-oriented
and others.
Although the re-usable artifacts are specific to each paradigm (e.g.,
agents, aspects, components, core assets, services), from a broader
perspective they share key characteristics. Methodologies (processes,
tools, techniques, heuristics) are needed to systematically
specify/model, evaluate, store, select, and compose the re-usable
artifacts with respect to functional and non-functional/quality of
service attributes.
Interesting and useful results have been achieved within research
sub-communities, but they tend not to be widely disseminated across
sub-communities. The purpose of this session is to provide a forum to
share knowledge and results across different sub-communities, to
explore commonalities and differences. More specifically, this session
is intended to provide an opportunity to consider the potential for a
more general approach, perhaps a re-use meta-model.
For this session, roadmap style papers on individual paradigms are
preferred, which address technical topics related to modularization and
re-use in software architecture. The papers should include a discussion
on the current state-of-the-research and important future directions
for the paradigm. As much as possible, topics such as but not limited
to the following are anticipated to be of great interest to the
participants, from either process or product perspectives:
- Specification (meta-models, modeling) and Analysis
- Selection and Composition techniques
- Repositories
- Tool support
- Plan-driven agile perspectives
- Applications, Empirical studies, case studies
The session will be organized around presentations and interactive discussions
Session II: Software Correctness, Testing and Verification
Chair (s): Mark Burgin, University of California - Los Angeles and Narayan Debnath, Winona State University
Contact: mburgin[AT]math.ucla.edu or ndebnath[AT]winona.edu
Session III: Deployment of Component-Based Software Systems and Service Oriented Applications
Chair: Noureddine Belkhatir, University of Grenoble,
France & Sergiu Dascalu, University of Nevada, Reno, USA
Contact: Noureddine.Belkhatir[AT]imag.fr or dascalus[AT]cse.unr.edu
Deployment is a complex process which covers all the activities to make
a S/W system operational after the end of development. Software deployment is
emerging as a new research field with the development of large network
environments as enterprise intranets and the internet. This session focuses on
deployment of component based S/W systems. One of the characteristics of these
systems is the large number of
components linked by complex interdependencies that can be installed, updated
and removed as separate entities.
This special issue is intended to collect the latest research,
experiences, and results concerned with software deployment, and thus provide a
framework for exchanging and disseminating new ideas and progress both within
the research community and industry.
RECOMMENDED TOPICS and not limited:
- Deployment for distributed components-based applications
- Deployment in
service based applications
- Deployment in
pervasive environments
- Deployment
infrastructure
- Case studies
- Deployment Planning
- Metamodels and
Model-Driven approaches for deployment
- Enterprise S/W
deployment
| Session IV: Agent Based Systems and Social Simulation: Theory and Applications
Chair: Sharad Sharma, Bowie State University
Contact: ssharma[AT]bowiestate.edu
The aim of this special session is to provide a forum to discuss and
disseminate recent and significant research efforts on Agent Based
Systems and Social Simulation, dealing with current challenges and new
trends on this topic (both on theoretical and practical aspects). Agent
Based System is a paradigm of software engineering methodology. The
development of intelligent agents brings new challenges to the field.
Agent technologies and multi-agent-systems are one of the most vibrant
and active research areas of computer science. We encourage work in
using agent-oriented software engineering approach to development of
agent-based systems, such as multi-agent systems and mobile agent
systems. Topics of interest include, but are not limited to, the
following:
- Methodologies for agent-oriented analysis and design
- Requirements analysis and specification for agent-based systems
- Autonomous Agents and Multi-Agent Systems
- Cognitive/neural grounding of social behavior
- Models of cognitive representations of social worlds
- Agent-oriented software engineering (AOSE)
- Methodologies for interdisciplinary theory
- Model checking for agent-based systems
- Engineering large-scale agent systems
- Applications of multi-agent systems and mobile agents
Session V: Technologies for Biomedical Applications
Chair (s): Maurice Cohen and Donna Hudson, University of California - San Francisco
Contact: dhudson[AT]fresno.ucsf.edu
Technology has contributed to many advances in
medicine, including imaging, biomedical signal analysis, bioinformatics, and
electronic health records. This session
will focus on the application of new technologies to diagnosis, treatment, and
prognosis of disease as well as new methods for analyzing biomedical data including
genetic information, biomedical signals, automated imaging analysis, and
methods for automated analysis of electronic health records. Specific topics include, but are not limited
to the following:
- Medical
database analysis
- Intelligent
agents in medical diagnosis
- Image
registration
- Trend
analysis in health records
- Modeling of
biomedical data
- Biomedical
signal analysis
- Methods for analysis of
genetic information
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