Computer Science: Recent submissions
Now showing items 221-240 of 416
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Towards Test Focus Selection for Integration Testing Using Software Metrics
(North Dakota State University, 2013)Object-oriented software systems contain a large number of modules which make the unit testing, integration testing, and system testing very difficult and challenging. While the aim of the unit testing is to show that ... -
ReviewMiner: An Unsupervised Method of Aspect Extraction and Aspect Rating from Product Reviews
(North Dakota State University, 2013)One major piece of information available on the web is reviews about various products that are written by users. Some commercial websites provide additional information about the products along with the reviews. However, ... -
Efficient Regression Testing for Web Applications Using Reusable Constraint Values
(North Dakota State University, 2013)Current web applications offer people easy ways to deploy web sites, and the use of web applications has grown rapidly over the past decades. Companies that provide web applications need frequent regression testing because ... -
Smart Grid Optimization Using a Capacitated Transshipment Problem Solver
(North Dakota State University, 2013)A network flow model known as the capacitated transshipment problem, or CTP, can represent key aspects of a smart grid test network with the goal of finding minimum cost electric power flows using multiple different cost ... -
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. ... -
Mapreduce-Enabled Scalable Nature-Inspired Approaches for Clustering
(North Dakota State University, 2014)The increasing volume of data to be analyzed imposes new challenges to the data mining methodologies. Traditional data mining such as clustering methods do not scale well with larger data sizes and are computationally ... -
Using Message Queuing to Drive Polyglot Identity and Access Management Development
(North Dakota State University, 2017)This paper describes a method of using an Advanced Message Queuing Protocol (AMQP) broker, RabbitMQ in particular, to facilitate the management of accounts across a variety of systems. Higher education poses a unique ... -
Implementation of Weighted Centroid Neural Network for Edge Preserving Image Compression
(North Dakota State University, 2017)Image compression is a type of data compression applied to images. The objective of image compression is to reduce the cost for storage or transmission. Image compression is associated with removing redundant information ... -
A Java Class Analysis Program Development By ASM Library
(North Dakota State University, 2017)Class analysis is useful technique that can be used in many situations, from the syntaxes parsing, potential bugs finding, and unused code detecting to reverse engineer coding. In this paper, I write a small program classasm ... -
Chemical Compound Classification Ensemble
(North Dakota State University, 2013)In the research of health science, scientists often need to screen numerous chemical compounds to find drugs that can treat a disease. The process of testing the functionality of these compounds in the laboratory is very ... -
Injecting Safety-Critical Certification Into Agile Software Methods
(North Dakota State University, 2013)Agility offers an adaptable and changeable environment within software development. The benefits that agile methods provide for software development are becoming an even greater possibility in safety-critical software ... -
Vector-Vector Patterns for Agricultural Data
(North Dakota State University, 2013)Agriculture is increasingly driven by massive data, and some challenges are not covered by existing statistics, machine learning, or data mining techniques. Many crops are characterized not only by yield but also by quality ... -
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 ... -
A Distributed Linear Programming Model in a Smart Grid
(North Dakota State University, 2013)Advances in computing and communication have resulted in large-scale distributed environments in recent years. They are capable of storing large volumes of data and, often, have multiple compute nodes. However, the inherent ... -
Mobisurf: Bimanual Inter-Device Interaction
(North Dakota State University, 2013)A shared interactive display (i.e. tabletop) provides a large space for collaborative interaction. However, it lacks a private area for accessing sensitive information. On the other hand, a mobile device offers a variety ... -
Spatially Aware Computing for Natural Interaction
(North Dakota State University, 2013)Spatial information refers to the location of an object in a physical or digital world. Besides, it also includes the relative position of an object related to other objects around it. In this dissertation, three systems ... -
Model-based Exploratory Testing: A Controlled Experiment
(North Dakota State University, 2013)Testing methods of software systems have been receiving more and more focus in recent years. Exploratory Testing (ET) is one such testing method. The advantages of ET are generally outweighed by its disadvantages, mainly ... -
Adaptive Regression Testing Strategies for Cost-Effective Regression Testing
(North Dakota State University, 2013)Regression testing is an important but expensive part of the software development life-cycle. Many different techniques have been proposed for reducing the cost of regression testing. To date, much research has been performed ... -
Noise Removal from Attribute-Groups for Classification
(North Dakota State University, 2013)In this work, we present a novel algorithm that considers attributes from different experimental sources as separate groups for the purpose of classification. We remove noise from each of these groups, combine them, and ... -
Mining Semantic Relationships Between Concepts Across Documents Using Wikipedia Knowledge
(North Dakota State University, 2013)The ongoing astounding growth of text data has created an enormous need for fast and efficient Text Mining algorithms. However, the sparsity and high dimensionality of text data present great challenges for representing ...