Introduction:

Currently there are organizations that assume a project management model as a structure. The increasing number of projects that are conceptualized and developed generates a large accumulation of data. However, the insufficient capacity for analysis and processing of the data generated makes it impossible to identify information that facilitates decision-making for the main managers.

Objective:

This research proposes the development of a recommendation system that integrates the Linguistic Data Summarization (LDS).

Materials and methods:

The research highlights the use of empirical and theoretical scientific research methods. Through the historical-logical analysis, the investigations associated with the use of LDS for the construction of explanations of the recommendations were revealed. A survey was used to corroborate user satisfaction regarding the synthesis of the information stored in the data repository.

Results:

The generated recommendations increase the possibility that the users interpret the stored data from the integration with explanations constituted by linguistic summaries.

Conclusions:

The obtained system was valued as very good to be applied to the decision-making problem on the evaluation of projects in software development centers.

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