Kendra Cooper

Learn More
At the heart of a well-disciplined, systematic methodology that explicitly supports the use of COTS components is a clearly defined process for effectively using components that meet the needs of the system under development. In this paper, we present the CARE/SA approach which supports the iterative matching, ranking, and selection of COTS components,(More)
The goals of developing systems better, faster, and cheaper continue to drive software engineering practitioners and researchers to investigate software engineering methodologies. In requirements engineering, the focus has been on modeling the software engineering process and products for systems that are being built from scratch. As the size and complexity(More)
The problem of effectively designing and analyzing software to realize non-functional requirements is an important research topic. The significant benefits of such work include detecting and removing defects earlier, reducing development time and cost while improving the system’s quality. The Formal Design Analysis Framework (FDAF) is an aspect-oriented(More)
An accurate prediction of the number of defects in a software product during system testing contributes not only to the management of the system testing process but also to the estimation of the product's required maintenance. Here, a new approach called ED<sup>3</sup>M is presented that computes an estimate of the total number of defects in an ongoing(More)
The more complex a software system is, the more likely it is that programmers will make mistakes that introduce faults which can lead to execution failures. A risk in a software system can be viewed as a potential problem, and a problem is a risk that has manifested. In order to reduce the risk of software operations, code which has the potential to cause(More)
At the heart of a well-disciplined, systematic methodology that explicitly supports the use of commercial off-the-shelf (COTS) components is a clearly defined process for effectively using components that meet the needs of the system under development. In this paper, we present the CARE/SA approach that supports the iterative matching, ranking, and(More)