<p>The timetabling problem has traditionally been treated as a mathematical optimization, heuristic, or human-machine interactive problem. The timetabling problem comprises hard and soft constraints. Hard constraints must be satisfied in order to generate feasible solutions. Soft constraints are sometimes referred to as preferences that can be contravened if necessary. In this research, we present is as both a mathematical and a human-machine problem that requires acceptable and controlled human input, then the algorithm gives options available without conflicting the hard constraints. In short, this research allows the human agents to address the soft-constraints as the algorithm works on the hard constraints, as well as the algorithm being able to learn the soft constraints over time. Simulation research was used to investigate the timetabling problem. Our proposed model employs the use a naïve Bayesian Algorithm, to learn preferred days and timings by lecturers and use them to resolve the soft constraints.  </p>

Abstract-This paper reviews, some of the research work done in the evolution of PHP applications that have been around and are vastly used. PHP is currently one of the most popular programming languages, widely used in both the open source community and in industry to build large web-focused applications and application frameworks. This review looks at how PHP applications have evolved in terms of the use of libraries, the software maturity, adoption of object-orientation paradigm, the evolution of complexity and security. The results suggest that these systems undergo systematic maintenance and evolution is helping the underlying programming language to grow.