Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Autonomous vehicles (1)
- Data assimilation (1)
- Data mining (1)
- Distributed uplink channel decoding (1)
- Equivalent mutants (1)
-
- Improved computation efficiency (1)
- Level set methods (1)
- Machine learning (1)
- Minimal set of mutants (1)
- Mutation testing (1)
- Natural ;anguage processing (1)
- Optimal control (1)
- Optimization (1)
- Petri nets (1)
- Power and energy management (1)
- Ratio of equivalent mutants (1)
- Redundancy mutants (1)
- Shallow water equations (1)
- Smart grid (1)
- Software testing (1)
- Wireless communication (1)
- Publication
Articles 1 - 4 of 4
Full-Text Articles in Engineering
Quantitative Metrics For Mutation Testing, Amani M. Ayad
Quantitative Metrics For Mutation Testing, Amani M. Ayad
Dissertations
Program mutation is the process of generating versions of a base program by applying elementary syntactic modifications; this technique has been used in program testing in a variety of applications, most notably to assess the quality of a test data set. A good test set will discover the difference between the original program and mutant except if the mutant is semantically equivalent to the original program, despite being syntactically distinct.
Equivalent mutants are a major nuisance in the practice of mutation testing, because they introduce a significant amount of bias and uncertainty in the analysis of test results; indeed, mutants …
Analyzing Evolution Of Rare Events Through Social Media Data, Xiaoyu Lu
Analyzing Evolution Of Rare Events Through Social Media Data, Xiaoyu Lu
Dissertations
Recently, some researchers have attempted to find a relationship between the evolution of rare events and temporal-spatial patterns of social media activities. Their studies verify that the relationship exists in both time and spatial domains. However, few of those studies can accurately deduce a time point when social media activities are most highly affected by a rare event because producing an accurate temporal pattern of social media during the evolution of a rare event is very difficult. This work expands the current studies along three directions. Firstly, we focus on the intensity of information volume and propose an innovative clustering …
Optimal Sampling Paths For Autonomous Vehicles In Uncertain Ocean Flows, Andrew J. De Stefan
Optimal Sampling Paths For Autonomous Vehicles In Uncertain Ocean Flows, Andrew J. De Stefan
Dissertations
Despite an extensive history of oceanic observation, researchers have only begun to build a complete picture of oceanic currents. Sparsity of instrumentation has created the need to maximize the information extracted from every source of data in building this picture. Within the last few decades, autonomous vehicles, or AVs, have been employed as tools to aid in this research initiative. Unmanned and self-propelled, AVs are capable of spending weeks, if not months, exploring and monitoring the oceans. However, the quality of data acquired by these vehicles is highly dependent on the paths along which they collect their observational data. The …
Multiframe Coded Computation For Distributed Uplink Channel Decoding, Brinell F. Monteiro
Multiframe Coded Computation For Distributed Uplink Channel Decoding, Brinell F. Monteiro
Theses
The latest 5G technology in wireless communication has led to an increasing demand for higher data rates and low latencies. The overall latency of the system in a cloud radio access network is greatly affected by the decoding latency in the uplink channel. Various proposed solutions suggest using network function virtualization (NFV). NFV is the process of decoupling the network functions from hardware appliances. This provides the exibility to implement distributed computing and network coding to effectively reduce the decoding latency and improve the reliability of the system. To ensure the system is cost effective, commercial off the shelf (COTS) …