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Laboratory for Software Design: Research Projects
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Department of Computer Science

Laboratory for Software Design

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Got a question or comment? Contact us at (515) 294-6168 or hridesh@cs.iastate.edu.

Active Research Projects

Sapha

As multi-core processors are becoming common, vendors are starting to explore trade offs between the die size and the number of cores on a die, leading to heterogeneity among cores on a single chip. For efficient utilization of these processors, application threads must be assigned to cores such that the resource needs of a thread closely matches resource availability at the assigned core. Current methods of thread-to-core assignment often require an application's execution trace to determine it's runtime properties. These traces are obtained by running the application on some representative input. A problem is that developing these representative input sets is time consuming, and requires expertise that the user of a general-purpose processor may not have. In this project, we are designing, implementing and evaluating automatic thread-to-core assignment techniques for heterogeneous multi-core processors that will enhance the utilization of these processors.

[PLOS 2007]


Tisa

The key notion in service-oriented architecture is decoupling clients and providers of a service based on an abstract service description, which is used by the service broker to point clients to a suitable service implementation. A client then sends service requests directly to the service implementation. A problem with the current architecture is that it does not provide trustworthy means for clients to specify, service brokers to verify, and service implementations to prove that certain desired non-functional properties are satisfied during service request processing. An example of such non-functional property is access and persistence restrictions on the data received as part of the service requests. In this project, we are developing an extension of the service-oriented architecture that provides these facilities. We are also developing a prototype implementation of this architecture that demonstrate the potential practical value of the proposed architecture in real-world software applications.

[NWeSP 2007], [IW-SOSWE 2007]


Nu

The Nu (pronounced new) project is exploring intermediate language design and corresponding virtual machine extensions to better support new features of aspect-oriented languages. The potential impacts of this project include better compatibility with the existing tool chain, better run-time performance, cross AO language compatibility, improved pointcut expressivity, efficient run-time weaving support, etc.

[AOSD 2008], [VMIL 2007], [FSE 2006 - Poster Paper], [SPLAT 2006]


Slede

The Slede project is looking at specification language design and supporting verification mechanisms for specifying and verifying cryptographic protocols for sensor networks. Applications of sensor networks are numerous from military to environmental research. By providing mechanisms to find cryptographic errors in the security protocols for sensor networks this research program is improving the reliability of these networks, making a direct impact on all areas where these networks are utilized.

[WiSec 2008], [ESEC/FSE 2007 - DS], [FSE 2006 - Poster paper]

Past Research Projects


Eos

Eos is a unified aspect-oriented extension for C# on Microsoft® .NET Framework™. Eos unifies aspects and objects as classpects. The unified language model improves the conceptual integrity of the language design and the compositionality of aspect modules to better support hierarchical advising structures.

[PLOP 2007], [ICSE 2005], [AOSD 2005], [ICSE 2004 - DS], [ESEC/FSE 2003]


Osiris

Comprehending software is hard. As system complexity and size increases, existing approaches for program comprehension become less usable. Ironically, the need for these approaches increases with the size of the system. In the Osiris project, we are looking at approaches and tools for automatic/semi-automatic generation of concerns models from source code for better comprehension of large software systems.