## 1 Introduction
The parameters with the greatest influence on the safety factor were cohesion and friction angle, with the authors proposing future studies in which anthropogenic effects on slope stability and dynamic activity could be included. Based on the reviewed literature, it can be highlighted that, in general, geometry is the most influential factor, with slope height and inclination being the factors that produce the greatest safety factor variation. In second place, rock and soil strength parameters (cohesion and friction angle) follow slope geometry in the influence ranking. However, if the model includes them, these parameters are relegated to the mechanical parameters and properties of discontinuities or joints. Finally, parameters such as the specific weight of the material, the Poisson coefficient, or the Young module generally have less influence on slope stability. Most of the revised studies used either limit equilibrium or finite elements to obtain the data. In soil slope stability analysis, limit equilibrium is used more often, and due to their simplicity, simplified analytic formulations are commonly used along with the slice method. The most frequent failure criteria used are Mohr-Coulomb and Hoek for soils and rocks, respectively. A large portion of the studies found in the literature on the influence of the value of geomechanical parameters and geometry is limited to the use of unsophisticated analysis tools or the simplification of the problem to enable a quantity of data sufficient to perform the study [12; 16; 18; 24; 27; 38; 39]. In both cases, it cannot be guaranteed that the analysis and its methodology do not influence the results. In this study, along with sensitivity analysis, a methodology is proposed to automatically perform a large number of slope stability simulations, utilizing a geotechnical model composed of the finite element model, along with using limit analysis (FELA) with lower bound and upper bound theorems, the shear strength reduction factor method (SSRM), and the Mohr-Coulomb constitutive model. The usage of a calculation methodology, based on limit analysis, allows the obtainment of maximum and minimum theoretical values of the safety factor of slopes without the need for calculation hypotheses as in limit equilibrium methods or geometric simplifications in the definition of the failure surface such as those performed in analytical methods and limit equilibrium methods. Finally, the influence of each of the studied slope stability parameters were obtained through regional sensitivity analysis (RSA). The modeling was performed for parameter values typically found in the literature for residual granitic soils in order to ascertain the influence of each on the resulting safety factor. The objective of this investigation is to study the influence of the parameters that characterize both the material and the geometry of a slope on its stability. Dry static conditions for the typical ranges of parameter values of roadworks in residual granitic soils found in Chile were studied. The selected sensitivity analysis method requires a large database to function. However, stability analysis of relatively complex geometries are slow,and usually, the available software does not include a built-in sensitivity analysis tool. If the software does include it, it is limited to elementary analyses. Therefore, a system to obtain large datasets has been designed for the present work. This system uses Monte Carlo simulation to enable the model-building and running process based on the random generation of input variables. It uses a uniform probability distribution in the generation of the variables and allows the value ranges of the geometric and mechanical variables of the material that defines a slope to be specified.