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Now showing items 31-36 of 36
Understanding Contextual Factors in Regression Testing Techniques
(North Dakota State University, 2016)
The software regression testing techniques of test case reduction, selection, and prioritization are widely used and well-researched in software development. They allow for more efficient utilization of scarce testing ...
Project Quality Tool: A Tool for Project Success
(North Dakota State University, 2014)
This paper proposes a solution to the current changing requirements communication problem in an offshore on-site software development model. The proposed model is a web-based tool where the user in a project team can enter ...
Mining for Significant Information from Unstructured and Structured Biological Data and Its Applications
(North Dakota State University, 2012)
Massive amounts of biological data are being accumulated in science. Searching for significant meaningful information and patterns from different types of data is necessary towards gaining knowledge from these large amounts ...
Mining Significant Patterns by Integrating Biological Interaction Networks with Gene Profiles
(North Dakota State University, 2015)
Nowadays, large amounts of high-throughput data are available. Automatic with classical cell biology techniques which are employed in the analysis of cell functions, interactions, and how pathogens can exploit them in ...
Usability Construct for Mobile Applications: A Clustering based Approach
(North Dakota State University, 2015)
The growth of mobile applications that run on cell phones and other handheld devices has introduced a broad range of usability challenges that were not faced by the web and standalone PC environments. The current usability ...
Improved Genetic Programming Techniques For Data Classification
(North Dakota State University, 2014)
Evolutionary algorithms are one category of optimization techniques that are inspired by processes of biological evolution. Evolutionary computation is applied to many domains and one of the most important is data mining. ...