 |
|
ISSN 1556-6757 |
SJI |
|
|
 |
|
|
|
|
|
 |
Volume
3, Issue 1, 2009
|
| |
| |
Assessing Software Process Hotspots via Analysis and Visualization of
Software Repository Data Shihong Huang
Abstract
The software development process is an incremental and iterative
activity. Source code is constantly changed to reflect changing
requirements, to respond to testing results, and to address problem
reports. This paper presents a methodology and a toolkit (VITA) for
applying source code analysis techniques to configuration management
repository data with the aim of identifying the impact on file changes
due to change requests and problem reports. The repository data are
clustered, analyzed, and visualized in a semi-automated manner according
to user-selectable criteria. The approach is illustrated with a
real-world model problem concerning software process improvement of an
embedded software system.
Survey of Network on Chip (NoC) Architectures & Contributions
Ankur Agarwal, Cyril Iskander, and Ravi Shankar
Abstract
Multiprocessor architectures and platforms have
been introduced to extend the applicability of Moore’s law. They depend
on concurrency and synchronization in both software and hardware to
enhance the design productivity and system performance. These platforms
will also have to incorporate highly scalable, reusable, predictable,
cost- and energy-efficient architectures.
With the rapidly approaching billion transistors era, some of the main
problems in deep sub-micron technologies which are characterized by gate
lengths in the range of 60-90 nm, will arise from non-scalable wire
delays, errors in signal integrity and unsynchronized communications.
These problems may be overcome by the use of Network on Chip (NOC)
architecture. In this
paper, we have summarized over sixty research papers and contributions
in NOC area.
Full Article
Abstract
A handoff behavior evaluation method is
proposed that uses real data collected from actual drives to evaluate
the performance. This data is aggregated to perform statistical
analysis. A chi-square statistical test is then presented to evaluate
the performance of specific cell phone model by comparing the behavior
of a test model against a well-established behavior profile. This
technique can also be used to compare performance of set of models in
one region to performance of same set in other region, and to determine
the effect of directionality on the cell phones.
Full Article
|
|
|
|
|
|
 |