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This paper introduces a semi-automated approach for the prioritization of software features in medium- to large-sized software projects, considering stakeholders’ satisfaction and dissatisfaction as key criteria for the incorporation of candidate features. Our research acknowledges an inherent asymmetry in stakeholders’ evaluations, between the satisfaction from offering certain features and the dissatisfaction from not offering the same features. Even with systematic, ordinal scale-based prioritization techniques, involved stakeholders may exhibit hesitation and uncertainty in their assessments. Our approach aims to address these challenges by employing the Binary Search Tree prioritization method and leveraging the mathematical framework of Intuitionistic Fuzzy Sets to quantify the uncertainty of stakeholders when expressing assessments on the value of software features. Stakeholders’ rankings, considering satisfaction and dissatisfaction as features prioritization criteria, are mapped into Intuitionistic Fuzzy Numbers, and objective weights are automatically computed. Rankings associated with less hesitation are considered more valuable to determine the final features’ priorities than those rankings with more hesitation, reflecting lower indeterminacy or lack of knowledge from stakeholders. We validate our proposed approach with a case study, illustrating its application, and conduct a comparative analysis with existing software requirements prioritization methods.

Research work on the relationship between Corporate Social Responsibility and financial performance has been going on for seven decades. Even when the prevailing studies are those that found a positive influence of social responsibility on financial performance, strong conclusive results are still unavailable. Some explanations for this situation are based, among other reasons, on the fact that the variables have a relation mediated by multiple factors. Additionally, it is still unknown whether the results obtained can be extrapolated to all types of companies since the majority of studies have focused on large companies listed on the stock exchange. This research studied how one of those factors (stakeholder satisfaction) mediated in companies of different sizes (including SMEs) and different types of companies (publicly listed companies or private ownership companies). A questionnaire was used, including indices relative to (1) the degree of development of the company’s social responsibility policies, (2) the changes in the satisfaction of four key stakeholders (employees, customers, suppliers, and shareholders) and financial performance (sales and profitability). Findings show the existence of a correlation between social responsibility and financial performance and also that such a relationship is mediated by the satisfaction of stakeholders. That relationship was also found to be independent of company sizes and the type of company This research work is intended to be a contribution towards that field of study, as it has detected a relationship between variables in medium-sized and private ownership companies.