Discovering Stakeholders´ Interests in Wiki-based Architecture Documentation

MATIAS NICOLETTI; JORGE ANDRES DIAZ PACE; SILVIA N. SCHIAFFINO

Montevideo

Conferencia; XVI Conferencia Iberoamericana de Ingeniería de Software - CIbSE 2013; 2013

Universidad ORT Uruguay

The Software Architecture Document (SAD) is an important artifact in the early stages of software development, as it serves to share and discuss key design and quality-attribute concerns among the stakeholders of the project. Nowadays, architectural documentation is commonly hosted in Wikis in order to favor communication and interactions among stakeholders. However, the SAD is still a large and complex document, in which stakeholders often have diculties in nding information that is relevant to their interests or daily tasks. We argue that the discovery of stakeholders' interests is helpful to tackle this information overload problem, because a recommendation tool can leverage on those interests to provide each stakeholder with SAD sections that match his/her prole. In this work, we propose an approach to infer stakeholders' interests, based on applying a combination of Natural Language Processing and User Proling techniques. The interests are partially inferred by monitoring the stakeholders' behavior as they browse a Wiki-based SAD. A preliminary evaluation of our approach has shown its potential for making recommendations to stakeholders with dierent proles and support them in architectural tasks.