The integration of Translation Management Systems (TMS) and Large Language Models (LLMs) has revolutionized the translation landscape, offering nuanced and culturally sensitive translations. This paper explores the lessons learned from developing the BWX Generative Language Engine, an award-winning Generative AI tool for translation, which exemplifies the application of generative AI in translation management. Lessons include the transformative impact of AI, the accelerated delivery of beta features with LLMs, and the strategic integration of enabling technologies. Additionally, insights are drawn from strategic testing for optimal model routing, caching mechanisms, fallbacks, and the importance of security and data policy awareness.

Social machines (SMs) are the term used to define processes in which the people do the creative work and the machine does the administration. The concept was scarcely studied until 2013, when the series of workshops on SMs was created, and the topic began to receive more attention. However, it is not clear how research has evolved since then. This article aims to investigate and summarize how the research field of SM has evolved since 2013, to outline the state of the art and practice, and identify research opportunities within this field. We performed a systematic literature review analyzing the quantity and quality of publications, the main topics addressed, the current classifications of SMs, the context in which the concepts are used, and the main perceived challenges. We identified and analyzed 56 relevant studies addressing 12 topics, representing the current practical landscape of research regarding SM. Our findings suggest that: 1) research interest in SM is increasing, but is still concentrated into two research clusters; 2) topics are grouped under two main headings: a) human behavior and b) software development; 3) there is still a need for a common taxonomy to define and classify SM; 4) the main contexts are crowdsourcing and social networks, and the majority of studies are small-scale studies in an academic setup; and 5) more empirical rigor and evidence is needed regarding their use, benefits and challenges, despite some evidence regarding challenges related to user engagement, trust, scalability, and a better human-machine collaboration. Finally, a vision of the future of SMs, with the integration of web of people, artificial intelligence, and things, is also presented and discussed.

The "Future Internet Services and Applications" (FISA) track focuses on three complementary aspects that have to be considered while setting up future Internet services: (i) their modeling, provisioning and management, (ii) data protection, and (iii) data collection, storage and analysis. FISA is in its third edition and aims at offering to academic and industrial researchers as well as practitioners a platform for discussions related to the aforementioned aspects of future Internet services and applications. This report briefly presents the main topics of FISA and lists the accepted papers.

Over the years, different development waves have shaped the Web. Introduced as a tool to browse Web sites, the Web now is a dynamic and robust platform upon which enterprises conduct e-Business. One of these waves known as Web 2.0 (or social Web) is putting pressure on how enterprises should ensure a productive use of Web 2.0 applications such as Facebook and Twitter. Misuse cases of these applications are on the rise and the lack of guidelines and awareness is a main reason. This paper presents an approach for "controlling" the social actions that Web 2.0 applications allow users to execute. These actions are identified after analyzing some representative Web 2.0 applications and then defined in terms of stakeholders, content, and tools. The control over these actions is defined with UML Object Constraint Language (OCL) and then demonstrated through a prototype system.

This paper discusses how to design and develop collaborative enterprise applications using business and social artifacts. Business artifacts populate the business world (associated with business process management platforms) and allow to facilitate the communication between IT and non-IT practitioners over application requirements to satisfy, for example. And social artifacts populate the social world (associated with Web~2.0 applications) and abstract the online activities that are executed over Web~2.0 applications such as tagging photos. Both worlds are connected to each other through social machines that allow business artifacts to act upon Web~2.0 applications such as creating new social artifacts and checking on the statuses of existing social artifacts. A system that demonstrates business artifact and social artifact collaboration is also presented in this paper.

We define a notion of social machine and envisage an algebra that can describe networks of such. To start with, social machines are defined as tuples of input, output, processes, constraints, state, requests and responses, apart from defining the machines themselves, we define their connectors and conditionals that can be used to describe the interactions between any number of machines in a multitude of ways, as a means to represent real machines interacting in the real web, such as Twitter, Twitter running on top of Amazon AWS, mashups built using Twitter and, obviously, other social machines. This work is not a theoretical paper as yet, but, in more than one sense, we think we have found a way to describe web based information systems and are starting to work on what could be a practical way of dealing with the complexity of this emerging web of social machines that is all around us.

A repository is a necessary prerequisite to support software engineers and other users in the process of developing software for and with reuse. In the literature, there are several works that explore reuse repositories, however their focus is mostly on reusable component search and retrieval issues, while important aspects of reuse repositories have not been properly explored. On the other hand, some questions raised by companies that desire to adopt or build a reuse repository remain unanswered. Motivated by these questions, this paper presents the specification, design and implementation of a reuse repository that was successfully constructed and deployed in real Brazilian software factories.