We present an ongoing research project, namely Integrated Real-time Mobility Assistant (IRMA). IRMA is a software system that targets the personal mobility in a near future scenario, oriented to green, shared and public transports. IRMA aims to be an extensible, easy-to-implement and sustainable modular platform based on the combined use of multiple information sources (crowd, open, social, and sensor data) and on array of value propositions, each serving a class of stakeholders, which include municipality, users, transport providers. Hence, IRMA supports users in the entire lifecycle of mobility, and municipalities and transport providers in the whole cycle of mobility management. IRMA is deployed on both smartphone and web, and is built on a hierarchy of re-usable web services, that are based on SOA/EDA (Service Oriented Architecture / Event Driven Architecture).

Abstract. In the field of Enterprise Architecture, The Open Group Architecture Framework (TOGAF) is a well known framework, that links Business Architecture, Data Architecture, Application Architecture, Technology. A key concept within Business Architecture domain is Business Capabilities, that are delivered by Business Component (BC). A BC is a business unit that encompasses a coherent set of activities, supported by assets including people, processes and technology. Current TOGAF version recognizes the BC requirements but misses how to bridge those requirements with a data, application and technology architecture. Defining the bridge is specifically the purpose of our extension called Business Capabilities Centric Enterprise Architecture (BCCE), where we adapt some TOGAF phases, extend the core TOGAF meta-model and add architectural contents. We have validated our approach on a telecommunication example taken from literature. A major benefit of the proposed extension is to link changes of business to data, application and technology architectures.

In city governance, participation and engagement of stakeholders are a critical issue. Many researches use crowdsourcing to foster such participation and collaboration. To make sure that such support is complete, an evaluation grid shall be developed. To serve such need, we introduce a framework to assess the maturity of crowd-sourced municipality services. To show a structured example of crowd based city governance, we present CITY FEED, a system consisting of transactional and analytical modules. CITY FEED has been designed, implemented and deployed as a pilot in Pavia, Italy.

Servitization is one of the most significant trends that reshapes the information world and society in recent years. The requirement of collecting, storing, processing, and sharing of the Big Data has led to massive software resources being developed and made accessible as web-based services to facilitate such process. These services that handle the Big Data come from various domains and heterogeneous networks, and converge into a huge complicated service network (or ecosystem), called the Big Service. The key issue facing the big data and big service ecosystem is how to optimally configure and operate the related service resources to serve the specific requirements of possible applications, i.e., how to reuse the existing service resources effectively and efficiently to develop the new applications or software services, to meet the massive individualized requirements of end-users. Based on analyzing the big service ecosystem, we present in this paper a new paradigm for software service engineering, RE2SEP (Requirement-Engineering Two-Phase of Service Engineering Paradigm), which includes three components: serviceoriented requirement engineering, domain-oriented service engineering, and

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We present a Systematic Literature Review (SLR) on Cloud Computing that selected 39 papers from first tier journals and conferences in the period 2008-2012. The selective approach captures the relevant points of view on Cloud Computing, namely the overall paradigm in terms of delivery and deployment. Afterwards, we point out the technological issues about networking and data management in Cloud Computing. This SLR extends previous reviews thanks to a longer time period and a wider research sample. Cloud Computing, Literature Review, Cloud Deployment Model, Cloud Delivery Model, IT management