Problem solving environment

A problem solving environment (PSE) is a completed, integrated and specialised computer software for solving one class of problems, combining automated problem-solving methods with human-oriented tools for guiding the problem resolution. A PSE may also assist users in formulating problem resolution. A PSE may also assist users in formulating problems, selecting algorithm, simulating numerical value and viewing and analysing results.

Purpose of PSE

Many PSEs were introduced in the 1990s. They use the language of the respective field and often employ modern graphical user interfaces. The goal is to make the software easy to use for specialists in fields other than computer science. PSEs are available for generic problems like data visualization or large systems of equations and for narrow fields of science or engineering like gas turbine design.

History

The Problem Solving Environment (PSE) released a few years after the release of Fortran and Algol 60, people thought that this system with high-level language would cause elimination of professional programmers. However, surprisingly, PSE has been accepted and even though scientists used it to write programs.

The Problem Solving Environment for Parallel Scientific Computation was introduced in 1960, where this was the first Organised Collection was introduced in 1960, where this was the first Organised Collections with minor standardisation. In 1970, PSE was initially researched for providing high-class programming language rather than Fortran, also Libraries Plotting Packages advent. Development of Libraries were continued, and there were introduction of Emergence of Computational Packages and Graphical systems which is data visualisation. By 1990s, Hypertext, Point and Click had moved towards inter-operability. Moving on, a "Software Parts" Industry finally existed.

Throughout a few decades, recently, many PSEs have been developed and to solve problem and also support users from different categories, including education, general programming, CSE software learning, job executing and Grid/Cloud computing.

References

• Gallopoulos, E.; Houstis, E. N.; Rice, J. R. (1994), "Computer as thinker/doer: Problem solving environments for computational science", IEEE Computational Science & Engineering, 1 (2): 11–23, doi:10.1109/99.326669.