An official website of the United States government
Here's how you know
Here's how you knowOfficial websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS.
A lock ( Lock Locked padlock
) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.
Search Menu
ABSTRACT
This funding establishes a new CISE Research Experiences for Undergraduates (REU) site at East Carolina University. The focus of the site is on the foundations, tools, and applications of software testing. Software testing is widely used to ensure the quality of software systems. Improvements to the foundations, tools, and applications of software testing will help improve the quality of software systems and reduce the cost of software development. The site will provide undergraduate students with research experience in software testing and give them a solid research foundation by participating in activities, such as developing solutions and algorithms for fundamental issues in software testing, developing tools to improve testing effectiveness and performance, and testing complex real systems.
This site will provide the opportunity for 30 undergraduate students over three years to participate in a supportive environment that encourages them to pursue graduate studies in computer science. The REU project will also provide students an opportunity to collaborate with their faculty mentors and/or student peers after the summer program.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
Note: When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge during the embargo (administrative interval).
Some links on this page may take you to non-federal websites. Their policies may differ from this site.
Robert Boykin, Qin Ding "Parallel K-Nearest Neighbor Classification Using Hadoop" 28th International Conference on Computer Applications in Industry and Engineering , 2015
John Dixon, Junhua Ding "An Empirical Study of Parallel Solution for GLCM Calculation of Diffraction Images" 38th Annual International Conference of IEEE Engineering in Medicine and Biology Society , 2016 10.1109/EMBC.2016.7591596
Qin Ding, Robert Boykin "A Framework for Distributed Nearest Neighbor Classification Using Hadoop" Journal of Computational Methods in Science and Engineering , v.17 , 2017 , p.S11 10.3233/JCM-160676
PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
The REU project allowed a diverse pool of talented undergraduate students from colleges across the nation to experience cutting-edge research in computer science and software engineering. 32 undergraduate students were selected from 244 applicants from academic institutions nationwide, and most of them were selected from underrepresented groups and academic institutions with limited research opportunities. Among the 32 students, 13 of them were female students, 6 of them were African American, and 1 of them was Native American. 28 of the 32 students were selected from under-representative institutions. Without the support of the REU program, these students may not have the opportunity to get the systematic and rigorous research training in computer science. The research experience also led the students from a relatively dependent status on research in computer science to a status as independent as their competence faculty mentors. Students gained valuable research skills that well prepared them for their future field of study especially in computer science. Their exposure to the research motivated them to continue to graduate studies in computer science. The REU project also provided students an opportunity to collaborate with their faculty mentors and/or student peers after the summer program. All student participants who have graduated from colleges are working in computer science related jobs or pursuing graduate degrees in computer science, and others are continuing their study in STEM. The result of the pre-and-post program surveys have shown that the program has significantly increased their interests in computer science, graduate study in STEM and career in research.
The research topics of the REU project were on foundations, tools and applications of software testing. The REU project provided undergraduate students with competitive research experiences in software testing and built them a solid research foundation through developing solutions to address fundamental issues in software testing, building tools to improve testing effectiveness and performance, and testing complex real-world software systems. The research experience sparked student participants’ interest in computer science. 15 research papers co-authored by students have been published in research journals, conference proceedings, or presented in research conferences. The results are valuable research resources to other researchers and practitioners in software testing.
Last Modified: 04/26/2017
Modified by: Junhua Ding
Please report errors in award information by writing to: awardsearch@nsf.gov.
