INES – National Institute of Science and Technology for Software Engineering

The paper “Implementing Web Applications as Social Machines Composition: a Case Study”, was accepted for publication at 24th International Conference on Software Engineering and Knowledge Engineering (SEKE). This activity is part of the project  S.Ma.R.T – Social Machines Research Team.

With the evolution of the web and the concepts of web 3.0, as known as programmable web, several issues need to be studied in order to develop, deploy and use this new kind of application in a more effective way, such as communication between systems, unstructured data and non-scalable protocols, among others issues. In this regard, a seminal paper named The Emerging Web of Social Machines proposes a new way to describe and model web based information systems, that is, an arrangement of Social Machines that interact for a common purpose. Due to the fact that the Social Machines’ model is a new concept, it needs to be applied and validated in practice by developing applications based on it, mainly for detecting problems and proposing improvements. In this way, we performed a case study which implements a web application that is a composition of several public and well-known services from different application domains, such as Wikipedia, Flickr, Twitter, Google Places and Google Maps, following the Social Machines’ model. In the end, we present the results and some suggestions for improvement.

Brito, K. S.; Otero, L. E. A; Muniz, P. F; Buregio, V. A. A; Garcia, V. C; Meira, S. R. L. Implementing Web Applications as Social Machines Composition: a Case Study. 24th International Conference on Software Engineering and Knowledge Engineering (SEKE), 2012.