Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
- Keyword
-
- Software engineering (2)
- Algebra (1)
- Anthropology (1)
- Classification (1)
- Cloud Computing (1)
-
- Complexity theory (1)
- Computer Vision (1)
- Computer science education (1)
- Linear regression (1)
- Machine learning (1)
- Maintainability (1)
- Mathematics (1)
- Research software (1)
- Resource Optimization (1)
- Robotics (1)
- Scala (1)
- Software (1)
- Software metrics (1)
- Software process (1)
- Survey (1)
- Test spies (1)
- Testing (1)
- Tools (1)
- Trigonometry (1)
Articles 1 - 6 of 6
Full-Text Articles in Physical Sciences and Mathematics
Tests As Maintainable Assets Via Auto-Generated Spies: A Case Study Involving The Scala Collections Library's Iterator Trait, Konstantin Läufer, John O'Sullivan, George K. Thiruvathukal
Tests As Maintainable Assets Via Auto-Generated Spies: A Case Study Involving The Scala Collections Library's Iterator Trait, Konstantin Läufer, John O'Sullivan, George K. Thiruvathukal
George K. Thiruvathukal
In testing stateful abstractions, it is often necessary to record interactions, such as method invocations, and express assertions over these interactions. Following the Test Spy design pattern, we can reify such interactions programmatically through additional mutable state. Alternatively, a mocking framework, such as Mockito, can automatically generate test spies that allow us to record the interactions and express our expectations in a declarative domain-specific language. According to our study of the test code for Scala’s Iterator trait, the latter approach can lead to a significant reduction of test code complexity in terms of metrics such as code size (in some …
Use Of Software Process In Research Software Development:A Survey, Nasir U. Eisty, George K. Thiruvathukal, Jeffrey C. Carver
Use Of Software Process In Research Software Development:A Survey, Nasir U. Eisty, George K. Thiruvathukal, Jeffrey C. Carver
George K. Thiruvathukal
Background: Developers face challenges in building high-quality research software due to its inherent complexity. These challenges can reduce the confidence users have in the quality of the result produced by the software. Use of a defined software development process, which divides the development into distinct phases, results in improved design, more trustworthy results, and better project management. Aims: This paper focuses on gaining a better understanding of the use of software development process for research software. Method: We surveyed research software developers to collect information about their use of software development processes. We analyze whether and demographic factors influence the …
A Comparison Of Machine Learning Techniques For Taxonomic Classification Of Teeth From The Family Bovidae, Gregory J. Matthews, Juliet K. Brophy, Maxwell Luetkemeier, Hongie Gu, George K. Thiruvathukal
A Comparison Of Machine Learning Techniques For Taxonomic Classification Of Teeth From The Family Bovidae, Gregory J. Matthews, Juliet K. Brophy, Maxwell Luetkemeier, Hongie Gu, George K. Thiruvathukal
George K. Thiruvathukal
This study explores the performance of machine learning algorithms on the classification of fossil teeth in the Family Bovidae. Isolated bovid teeth are typically the most common fossils found in southern Africa and they often constitute the basis for paleoenvironmental reconstructions. Taxonomic identification of fossil bovid teeth, however, is often imprecise and subjective. Using modern teeth with known taxons, machine learning algorithms can be trained to classify fossils. Previous work by Brophy et al. [Quantitative morphological analysis of bovid teeth and implications for paleoenvironmental reconstruction of plovers lake, Gauteng Province, South Africa, J. Archaeol. Sci. 41 (2014), pp. …
Integrating Mathematics And Educational Robotics: Simple Motion Planning, Ronald I. Greenberg, George K. Thiruvathukal, Sara T. Greenberg
Integrating Mathematics And Educational Robotics: Simple Motion Planning, Ronald I. Greenberg, George K. Thiruvathukal, Sara T. Greenberg
George K. Thiruvathukal
This paper shows how students can be guided to integrate elementary mathematical analyses with motion planning for typical educational robots. Rather than using calculus as in comprehensive works on motion planning, we show students can achieve interesting results using just simple linear regression tools and trigonometric analyses. Experiments with one robotics platform show that use of these tools can lead to passable navigation through dead reckoning even if students have limited experience with use of sensors, programming, and mathematics.
A Survey Of Software Metric Use In Research Software Development, Nasir U. Eisty, George K. Thiruvathukal, Jeffrey C. Carver
A Survey Of Software Metric Use In Research Software Development, Nasir U. Eisty, George K. Thiruvathukal, Jeffrey C. Carver
George K. Thiruvathukal
Background: Breakthroughs in research increasingly depend on complex software libraries, tools, and applications aimed at supporting specific science, engineering, business, or humanities disciplines. The complexity and criticality of this software motivate the need for ensuring quality and reliability. Software metrics are a key tool for assessing, measuring, and understanding software quality and reliability. Aims: The goal of this work is to better understand how research software developers use traditional software engineering concepts, like metrics, to support and evaluate both the software and the software development process. One key aspect of this goal is to identify how the set of metrics …
Cloud Resource Optimization For Processing Multiple Streams Of Visual Data, Zohar Kapach, Andrew Ulmer, Daniel Merrick, Arshad Alikhan, Yung-Hsiang Lu, Anup Mohan, Ahmed S. Kaseb, George K. Thiruvathukal
Cloud Resource Optimization For Processing Multiple Streams Of Visual Data, Zohar Kapach, Andrew Ulmer, Daniel Merrick, Arshad Alikhan, Yung-Hsiang Lu, Anup Mohan, Ahmed S. Kaseb, George K. Thiruvathukal
George K. Thiruvathukal
Hundreds of millions of network cameras have been installed throughout the world. Each is capable of providing a vast amount of real-time data. Analyzing the massive data generated by these cameras requires significant computational resources and the demands may vary over time. Cloud computing shows the most promise to provide the needed resources on demand. In this article, we investigate how to allocate cloud resources when analyzing real-time data streams from network cameras. A resource manager considers many factors that affect its decisions, including the types of analysis, the number of data streams, and the locations of the cameras. The …