Barry Boehm was affiliated with the University of Southern California in the United States. Their work primarily focused on the field of Computer Science, with a significant portion of publications related to Information Systems, Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, and Software.
Their research topics included Software Engineering Research, Software Engineering Techniques and Practices, Mobile and Web Applications, Topic Modeling, Web Data Mining and Analysis, Advanced Malware Detection Techniques, and Software Reliability and Analysis Research.
They coauthored several papers with frequent collaborators such as Kamonphop Srisopha, Iordanis Fostiropoulos, Reem Alfayez, Robert Winn, and Daniel Link.
Barry Boehm's recent papers consisted of:
Their work appeared frequently in venues including Zenodo (CERN European Organization for Nuclear Research), arXiv (Cornell University), Journal of Software Evolution and Process, Information and Software Technology, and IEEE Transactions on Software Engineering.
Throughout the career, Barry Boehm was recognized with several awards. They were named an ACM Fellow in 1997 for contributions to software engineering technology and discipline, including advanced computer and software systems, environments, architectures, process models, cost models, quality models, and risk models.
They were also a Member of the National Academy of Engineering since 1996 for contributions to architectures and models related to cost, quality, and risk in aerospace systems. In addition, they became an IEEE Fellow in 1992 for contributions to software environment architecture, modeling, and implementation.
Barry W. Boehm
Barry W. Boehm
Barry W. Boehm;Chris Abts;A. Winsor Brown;Sunita Chulani
Barry W. Boehm;Clark;Horowitz;Brown
B.W. Boehm
B. Boehm
Barry W. Boehm
B. W. Boehm
B.W. Boehm;T. DeMarco
B. W. Boehm;J. R. Brown;M. Lipow
B. Boehm;V.R. Basili
B.W. Boehm;P.N. Papaccio
Barry W. Boehm;Bradford Clark;Ellis Horowitz;J. Christopher Westland
B. Boehm;R. Turner
Barry Boehm;Chris Abts;Sunita Chulani
Barry Boehm
Barry Boehm
B.W. Boehm;R. Ross
B. Boehm;H. In
B. Boehm;R. Turner
If you think any of the details on this page are incorrect, let us know.
Exploring Computer Science in the USA opens doors to numerous flexible and rewarding educational options. Many students consider quick online degrees that pay well for a faster route to a lucrative career, especially if they want to enter the workforce sooner.
If you're interested in emerging technology, an ai online degree can prepare you for one of the fastest-growing fields today. These programs cover skills in machine learning, data analysis, and robotics, which are highly valued by employers worldwide.
Deciding on the best degree for your goals is key. Computer science often ranks highly for its strong career outlook and versatile applications across many industries, from healthcare to finance.
For those considering further education, there are also easiest masters degrees that can help you upskill without a lengthy time commitment. Choosing the right online pathway lets you tailor your education to your needs, budget, and schedule, paving the way for a dynamic tech career.