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Level Of Essentialness Of A Node In Flowcharts And Its Application To Program Testing, Osman Kandara
Level Of Essentialness Of A Node In Flowcharts And Its Application To Program Testing, Osman Kandara
LSU Doctoral Dissertations
Program testing is important to develop bug free software. A common form of program testing involves selecting test cases which execute (cover) a given set W of statements in the program. In regression testing, W typically forms a small subset of the program. It is often possible to find an alternate small set W so that execution of W' implies execution of W. We develop concepts and algorithms for finding W' as small as possible with the condition that the statements in W' are "close" to those in W in terms of program structure. These concepts generalize the notion of …
Control Of Transport Dynamics In Overlay Networks, Qishi Wu
Control Of Transport Dynamics In Overlay Networks, Qishi Wu
LSU Doctoral Dissertations
Transport control is an important factor in the performance of Internet protocols, particularly in the next generation network applications involving computational steering, interactive visualization, instrument control, and transfer of large data sets. The widely deployed Transport Control Protocol is inadequate for these tasks due to its performance drawbacks. The purpose of this dissertation is to conduct a rigorous analytical study on the design and performance of transport protocols, and systematically develop a new class of protocols to overcome the limitations of current methods. Various sources of randomness exist in network performance measurements due to the stochastic nature of network traffic. …
Machine Learning Techniques For Efficient Query Processing In Kowledge Base Systems, Kevin Paul Grant
Machine Learning Techniques For Efficient Query Processing In Kowledge Base Systems, Kevin Paul Grant
LSU Doctoral Dissertations
In this dissertation we propose a new technique for efficient query processing in knowledge base systems. Query processing in knowledge base systems poses strong computational challenges because of the presence of combinatorial explosion. This arises because at any point during query processing there may be too many subqueries available for further exploration. Overcoming this difficulty requires effective mechanisms for choosing from among these subqueries good subqueries for further processing. Inspired by existing works on stochastic logic programs, compositional modeling and probabilistic heuristic estimates we create a new, nondeterministic method to accomplish the task of subquery selection for query processing. Specifically, …
Computer Assisted Screening Of Digital Mammogram Images, John Terry Sample
Computer Assisted Screening Of Digital Mammogram Images, John Terry Sample
LSU Doctoral Dissertations
The use of computer systems to assist clinicians in digital mammography image screening has advantages over traditional methods. Computer algorithms can enhance the appearance of the images and highlight suspicious areas. Screening provides a more thorough examination of the images. Any computer system that does screening of digital mammograms contains components to address multiple tasks such as: image segmentation, mass lesion detection and classification, and microcalcification detection and classification. This dissertation provides both effective and efficient improvements to existing algorithms, which segment mammogram images and locate mass lesions. In addition, we provide a new algorithm to evaluate and report the …
Analyzing The Impact Of Changing Software Requirements: A Traceability-Based Methodology, James Steven O'Neal
Analyzing The Impact Of Changing Software Requirements: A Traceability-Based Methodology, James Steven O'Neal
LSU Doctoral Dissertations
Software undergoes change at all stages of the software development process. Changing requirements represent risks to the success and completion of a project. It is critical for project management to determine the impact of requirement changes in order to control the change process. We present a requirements traceability based impact analysis methodology to predictively evaluate requirement changes for software development projects. Trace-based Impact Analysis Methodology (TIAM) is a methodology utilizing the trace information, along with attributes of the work products and traces, to define a requirement change impact metric for determining the severity of a requirement change. We define the …