Towards using self-generated data sources to decision support in agile software development

Most of the agile software process activities are knowledge-intensive, which require environments and technology that ease its creation and transfer. There is a vast amount of knowledge in software companies, but it is commonly tacit and it can only be utilized if companies can identify these people to share it. However, there are untapped sources of knowledge from tools that are used daily in projects. This article presents the results of the identification of these knowledge sources in companies in southern Sonora, through the KoFI methodology. As a result, 3 types of useful knowledge sources were identified, coming from code repositories, issue trackers, and requirements managers. As a means to use and manage these sources of knowledge, we proposed the development of a technological tool that integrates the capabilities and benefits of Business Intelligence (BI) and Knowledge Management (KM), where BI identifies possible weaknesses and opportunities, while KM supports the process design, implementation, and monitoring.