Software Engineering Research

7 researchers across 5 institutions

7 Researchers
5 Institutions
0 Grant PIs
3 High Impact

Software engineering research investigates the principles and practices for developing high-quality software systems. This area explores how to design, build, test, and maintain software efficiently and effectively. Research activities include developing novel methodologies for software development, analyzing software architectures, improving software testing and verification techniques, and understanding the human factors involved in software creation and use. Specific sub-fields encompass areas like requirements engineering, software process improvement, and the application of artificial intelligence to software development tasks.

In Arkansas, software engineering research contributes to the state's growing technology sector and its diverse economic landscape. This work supports the development of new software solutions for industries such as agriculture, manufacturing, and healthcare, which are vital to the state's economy. Research findings can inform the creation of more robust and user-friendly applications for public services, enhance the efficiency of businesses across the state, and contribute to the development of the state's digital infrastructure.

This research area frequently intersects with other disciplines, including decision-making and behavioral economics, technology adoption, computer graphics, and advanced neural network applications. Engagement spans multiple institutions across Arkansas, fostering a collaborative environment for advancing software engineering knowledge and its practical applications within the state.

AI-generated overview
Filter by institution:
Filter by career stage:

Top Researchers

Name Institution h-index Citations Career Stage Badges
Michael O′Connor University of Arkansas 43 8,406 High Impact
Kevin A. Schneider UAMS 33 3,939 High Impact
Manuel D. Rossetti University of Arkansas 21 1,611 High Impact
R. M. Loy University of Arkansas 8 409
Daniel L. Davis UA Little Rock 7 224
Laci M. Lyons University of Central Arkansas 4 98
Chih-Hao Wu Arkansas Tech University 0 0

Cross-Institution Connections

Researchers at different institutions with overlapping expertise in Software Engineering Research.

66%
Daniel L. Davis UA Little Rock
Manuel D. Rossetti University of Arkansas
22%
Chih-Hao Wu Arkansas Tech University
Browse All 7 Researchers in Directory