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Now showing items 25631-25640 of 28718
Evaluating the Usability of Collaboration Tool for Software Inspection Process
(North Dakota State University, 2019)
To develop a good software product, the first and foremost step to master is creating complete and accurate software requirements specification document. Requirements documents are created from through research and are ...
Image Correction using Reed Muller Code
(North Dakota State University, 2013)
Image signal processing is one of the important aspects while communicating from long distances. Background noise of images is one of the primary concerns in obtaining clear accurate images. This problem is further amplified ...
Using Information Retrieval to Improve Integration Testing
(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 ...
Performance Comparison of Apache Spark MLlib
(North Dakota State University, 2018)
This study makes an attempt to understand the performance of Apache Spark and the MLlib platform. To this end, the cluster computing system of Apache Spark is set up and five supervised machine learning algorithms (Naïve-Bayes, ...
Petri Net Model for Smart Grid System
(North Dakota State University, 2014)
The concept of a smart grid is to provide self-healing, reliable, economic, and environment friendly energy-saving, sustainable electricity services to the users including the freedom to choose and set priorities according ...
Comparison of Non-Learned and Learned Molecule Representations for Catalyst Discovery
(North Dakota State University, 2022)
Catalyst discovery is one very important task in storing renewable energy to address climate change and energy scarcity globally. Catalyst candidates can be represented by molecular descriptors and also can be modeled by ...
Using Machine Learning and Graph Mining Approaches to Improve Software Requirements Quality: An Empirical Investigation
(North Dakota State University, 2019)
Software development is prone to software faults due to the involvement of multiple stakeholders especially during the fuzzy phases (requirements and design). Software inspections are commonly used in industry to detect ...
Towards Change Propagating Test Models In Autonomic and Adaptive Systems
(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 ...
Systematic Approaches to Improve Test Case Prioritization Using Requirements and Risks
(North Dakota State University, 2016)
The use of system requirements and their risks enables software testers to identify more important test cases that can reveal faults associated with risky components. Having identified important test cases, software testers ...
Exploring Frameworks for Rapid Visualization of Viral Proteins Common for a Given Host
(North Dakota State University, 2019)
Viruses are unique organisms that lack the protein machinery necessary for its propagation (like polymerase) yet possess other proteins that facilitate its propagation (like host cell anchoring proteins). This study explores ...