Computer Science Doctoral Work: Recent submissions

Now showing items 41-60 of 67

    • Towards Test Focus Selection for Integration Testing Using Software Metrics 

      Bani Ta’an, Shadi Elaiyan (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 ...

    • Improved Genetic Programming Techniques For Data Classification 

      Al-Madi, Naila Shikri (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 

      Aljarah, Ibrahim Mithgal (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 ...

    • Usability Construct for Mobile Applications: A Clustering based Approach 

      Kotala, Pratap (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 

      Ranganathan, Prakash (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 ...

    • Spatially Aware Computing for Natural Interaction 

      Roudaki, Amin (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 ...

    • Adaptive Regression Testing Strategies for Cost-Effective Regression Testing 

      Schwartz, Amanda Jo (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 ...

    • Mining Semantic Relationships Between Concepts Across Documents Using Wikipedia Knowledge 

      Yan, Peng (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 ...

    • Mining for Significant Information from Unstructured and Structured Biological Data and Its Applications 

      Al-Azzam, Omar Ghazi (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 ...

    • Using Information Retrieval to Improve Integration Testing 

      Alazzam, Iyad (North Dakota State University, 2012)
      Software testing is an important factor of the software development process. Integration testing is an important and expensive level of the software testing process. Unfortunately, since the developers have limited time ...

    • Towards Change Propagating Test Models In Autonomic and Adaptive Systems 

      Akour, Mohammed Abd Alwahab (North Dakota State University, 2012)
      The major motivation for self-adaptive computing systems is the self-adjustment of the software according to a changing environment. Adaptive computing systems can add, remove, and replace their own components in response ...

    • A Two-phase Security Mechanism for Anomaly Detection in Wireless Sensor Networks 

      Zhao, Jingjun (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 ...

    • A Secure and Reliable Interference-Aware Wireless Mesh Network Design 

      Kandah, Farah Issa (North Dakota State University, 2012)
      A wireless mesh network (WMN) is a multihop wireless network consisting of a large number of wireless nodes of which some are called gateway nodes and connected with a wired network. Wireless mesh network have attracted ...

    • Stock Prediction Analyzing Investor Sentiments 

      Chatterjee, Arijit (North Dakota State University, 2018)
      We are going through a phase of data evolution where a major portion of the data from our daily lives is now been stored on social media platforms. In recent years, social media has become ubiquitous and important for ...

    • A Structural Metric Model to Predict the Complexity of Web Interfaces 

      Attaallah, Abdulaziz Ahmad (North Dakota State University, 2017)
      The complexity of web pages has been widely investigated. Many experimental studies used several metrics to measure certain aspects of the users, tasks or GUIs. In this research, we focusing on the visual structure of web ...

    • Adaptive Differential Evolution and its Application to Machine Vision 

      Dawar, Deepak (North Dakota State University, 2016)
      Over recent years, Evolutionary Algorithms (EA) have emerged as a practical approach for solving hard optimization problems ubiquitously presented in real life. The inherent advantage of EA over other types of numerical ...

    • Towards Better Engineering of Enterprise Resource Planning Systems 

      Asgar, Talukdar Sabbir (North Dakota State University, 2016)
      In spite of their high implementation failure rate, Enterprise Resource Planning (ERP) software remains a popular choice for most businesses. When it succeeds, ERP software provides effective integration of formerly isolated ...

    • Knowledge Discovery and Management within Service Centers 

      Zaman, Nazia (North Dakota State University, 2016)
      These days, most enterprise service centers deploy Knowledge Discovery and Management (KDM) systems to address the challenge of timely delivery of a resourceful service request resolution while efficiently utilizing the ...

    • Foundational Algorithms Underlying Horizontal Processing of Vertically Structured Big Data Using pTrees 

      Hossain, Mohammad (North Dakota State University, 2016)
      For Big Data, the time taken to process a data mining algorithm is a critical issue. Many reliable algorithms are unusable in the big data environment due to the fact that the processing takes an unacceptable amount of ...

    • Understanding Contextual Factors in Regression Testing Techniques 

      Anderson, Jeffrey Ryan (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 ...