A Framework to Reduce the Human Factors for Analysis of Constraint Solvers in Project Management

Abstract

Currently, there are multiple factors that affect the projects management. These factors may have different origins, but the human factor is still one of the main elements that affect decisions when managing a project. Another important factor is the use of software that supports these decisions and reduce the human factors. Given the complexity of current management problems, powerful software is needed to solve these problems. Constraint solvers are a kind of software that are based on a constraint approach. Currently there are different constraint solvers. Some are intricate software, and others are libraries for a programming language. This chapter presents a framework that allow to compare a constraint system based on the usability attributes of the solvers in order to reduce the human factors for the selection of the constraint solver. The authors show that it is possible to establish a comparison according to usability attributes, allowing to reduce the risks of decision making by the experts when working with a constrain solver in a project.