There are many machine learning algorithms currently available. In the 21st century, the problem no longer lies in writing the learner, but in choosing which learners to run on a ...
In this paper, we describe some of the key observations resulting from our work on using software engineering technologies to help detect errors in medical processes. In many ways...
Lori A. Clarke, George S. Avrunin, Leon J. Osterwe...
Software process improvement initiatives such as metrics programs have a high failure rate during their assimilation in a software organization. Social and individual issues are s...
The Cell BE processor provides both scalable computation power and flexibility, and it is already being adopted for many computational intensive applications like aerospace, defens...
The concept of complexity is used in many areas of computer science and software engineering. Software complexity metrics can be used to evaluate and compare quality of software de...