A method for evaluating the conformity of a tracking system to a set of requirements, at least one requirement being a mandatory requirement and at least one requirement being a recommended requirement, each requirement setting that a physical property be superior or equal to a threshold or that a physical property be inferior or equal to a threshold, the evaluation method being carried out by computer, the evaluation method including at least the following steps: - supervised learning of an evaluation function of the conformity to a requirement in the form of a piecewise linear function, the linear function including at least three pieces, preferably at least six pieces, in order to obtain learned evaluation functions, each evaluation function associating a physical property to a value, - application of the learned evaluation functions to the tracking system in order to obtain evaluation values, and - use of the evaluation values to obtain an overall score evaluating the conformity of the tracking system to the set of requirements, the method including computing an overall score for each type of requirement by aggregating evaluation functions of all of the requirements of the considered type, the overall score evaluating the conformity of the tracking system to the set of requirements being obtained by aggregating the overall scores by requirement type, or the method further including: - a step for supervised learning of aggregation functions of the evaluation values, the aggregation function evaluating the conformity of the tracking system to a portion of the requirements of the set of requirements corresponding to a particular property, and - a usage step comprising using the evaluation values and the learned aggregation functions to obtain a value for each portion of the requirements of the set of requirements corresponding to a particular property and using the values obtained during the use as well as aggregation functions to obtain the overall score. - supervised learning of an evaluation function of the conformity to a requirement in the form of a piecewise linear function, the linear function including at least three pieces, preferably at least six pieces, in order to obtain learned evaluation functions, each evaluation function associating a physical property to a value, - application of the learned evaluation functions to the tracking system in order to obtain evaluation values, and - use of the evaluation values to obtain an overall score evaluating the conformity of the tracking system to the set of requirements, the method including computing an overall score for each type of requirement by aggregating evaluation functions of all of the requirements of the considered type, the overall score evaluating the conformity of the tracking system to the set of requirements being obtained by aggregating the overall scores by requirement type, or the method further including: - a step for supervised learning of aggregation functions of the evaluation values, the aggregation function evaluating the conformity of the tracking system to a portion of the requirements of the set of requirements corresponding to a particular property, and - a usage step comprising using the evaluation values and the learned aggregation functions to obtain a value for each portion of the requirements of the set of requirements corresponding to a particular property and using the values obtained during the use as well as aggregation functions to obtain the overall score. - a step for supervised learning of aggregation functions of the evaluation values, the aggregation function evaluating the conformity of the tracking system to a portion of the requirements of the set of requirements corresponding to a particular property, and - a usage step comprising using the evaluation values and the learned aggregation functions to obtain a value for each portion of the requirements of the set of requirements corresponding to a particular property and using the values obtained during the use as well as aggregation functions to obtain the overall score.