Abstract
dc:description.abstractThe US loses approximately 20 to 60 billion a year due to software bugs and glitches, many of which could be avoided if software developers had perfect visibility of the system state during program execution. However, achieving complete visibility of all internal signals in real time in modern systems is not feasible due to limited I/O bandwidth, high internal complexity, and high operating frequencies. This thesis aims to develop a method that can be implemented in hardware to enable unobtrusive real-time tracing. The proposed method exploits several components (e.g., predictors, reductors, etc.) to reduce the size of the trace information through a tree-shape multiple level algorithm. The results show that with this method traces can be compressed with a relatively high ratios.
Degree
thesis:*- Name thesis:degree_name
- Master of Science
- Level thesis:degree_level
- Masters
- Discipline thesis:degree_discipline
- Computer Science
- Grantor
- Texas State University
- Year dc:date.issued
- 2015
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Hesaaraki, Farbod
- Advisor dc:contributor.advisor
-
- Burtscher, Martin
- Committee members dc:contributor.committeemember
-
- Qasem, Apan
- Zong, Ziliang
Subjects
dc:subject × 8Rights
- Language dc:language.iso
- en
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- https://hdl.handle.net/10877/5550
- OAI identifier oai:identifier
- oai:digital.library.txst.edu:10877/5550