Browsing Computer Science Doctoral Work by Title
Now showing items 60-65 of 65
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Using Human Error Models to Improve the Quality of Software Requirements
(North Dakota State University, 2018)Creating high quality software is a primary concern for software development organizations. Researchers have devoted considerable effort in developing quality improvement methods that help software engineers detect faults ... -
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 ... -
Using Learning Styles to Improve Software Requirements Quality: An Empirical Investigation
(North Dakota State University, 2017)The success of a software organization depends upon its ability to deliver a quality software product within time and budget constraints. To ensure the delivery of quality software, software inspections have proven to be ... -
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 ... -
Vector-Item Pattern Mining Algorithms and their Applications
(North Dakota State University, 2011)Advances in storage technology have long been driving the need for new data mining techniques. Not only are typical data sets becoming larger, but the diversity of available attributes is increasing in many problem domains. ... -
Virtual-Experiment-Driven Process Model (VEDPM)
(North Dakota State University, 2010)Computer simulations are the last resort for many complex problems such as swarm applications. However, to the best of the author's knowledge, there is no convincing work in proving ''What You Simulate ls What You See'' ...