Search
Now showing items 1481-1490 of 3438
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 ...
Naïve Bayes Classifier: A MapReduce Approach
(North Dakota State University, 2014)
Machine learning algorithms have the advantage of making use of the powerful Hadoop distributed computing platform and the MapReduce programming model to process data in parallel. Many machine learning algorithms have been ...
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 ...
Disease Similarity Using Biological Module Dysregulation Profile
(North Dakota State University, 2016)
Diseases can be grouped according to phenotypic and genotypic similarities. Gene expression and micro-RNA data paved the way to look inside the genetic coding and classify diseases accurately. Modern system biology seeks ...
Email Classification Using a Self-Learning Technique Based on User Preferences
(North Dakota State University, 2015)
In the current information overloaded atmosphere with an explosive growth of textual data, one can find it a challenging task to keep all the ducks in a row. This has resulted in an emergence of many Text Classification ...
Implementation and Evaluation of CMA-ES Algorithm
(North Dakota State University, 2015)
Over recent years, Evolutionary Algorithms have emerged as a practical approach to solve hard optimization problems in the fields of Science and Technology. The inherent advantage of EA over other types of numerical ...
Real Parameter Optimization Using Differential Evolution
(North Dakota State University, 2013)
Over recent years, Evolutionary Algorithms (EA) have emerged as a practical approach to solve hard optimization problems presented in real life. The inherent advantage of EA over other types of numerical optimization methods ...
Project Tracker and Organizer
(North Dakota State University, 2015)
A Project Tracking and Organizer is a software tool which is a simple, fast and an efficient way to assign modules of a project to employees and track the progress of a project. Using this software, project status can be ...
A Two-phase Security Mechanism for Anomaly Detection in Wireless Sensor Networks
(North Dakota State University, 2013)
Wireless Sensor Networks (WSNs) have been applied to a wide range of application areas, including battle fields, transportation systems, and hospitals. The security issues in WSNs are still hot research topics. The constrained ...
Evaluating the Gap Between the Skills and Abilities of Senior Undergraduate Computer Science Students and the Expectations of Industry
(North Dakota State University, 2012)
A large emphasis is placed on improving student education. Every year researchers propose new teaching methods and suggest improvements to existing methods. However, recent computer science and software engineering graduates ...