Engineering the social: The role of shared artifacts

Abstract This paper presents a multidisciplinary approach to engineering socio-technical design. The paper addresses technological design for social interactions that are non-instrumental, and thereby sometimes contradictory or surprising and difficult to model. Through cooperative analysis of cultural probe data and development of agent-oriented software engineering (AOSE) models, ethnographers and software engineers participate in conversations around shared artifacts, which facilitate the transition from data collected in a social environment to a socially oriented requirements analysis for informing socio-technical design. To demonstrate how this transition was made, we present a case study of the process of designing technology to support familial relationships, such as playing, gifting, showing, telling and creating memories. The case study is based on data collected in a cultural probes study that explores the diverse, complex and unpredictable design environment of the home. A multidisciplinary team worked together through a process of conversations around shared artifacts to cooperatively analyze collected data and develop models. These conversations provided the opportunity to view the data from the perspective of alternative disciplines that resulted in the emergence of novel understandings and innovative practice. The artifacts in the process included returned probe items, scrapbooks, videos of interviews, photographs, family biographies and the AOSE requirements models. When shared between the two communities of practice, some of these artifacts played important roles in mediating discussions of mutual influence between ethnographers and software engineers. The shared artifacts acted as both triggers for conversations and information vessels-providing a variety of interpretable objects enabling both sides to articulate their understandings in different ways and to collaboratively negotiate understandings of the collected data. Analyzing the interdisciplinary exchange provided insight into the identification of bridging elements that allowed 'the social' to permeate the processes of analysis, requirements elicitation and design.

Integrating social modelling and agent interaction through goal-oriented analysis

In the Agent-oriented software engineering (AOSE) community, it is now widely recognised that interaction is perhaps the most important single characteristic of complex software systems. Recently, the focus of AOSE research has shifted towards social (or organisational) modelling, which allows interaction to be modelled with higher-level constructs like organisational structures and social policies. However, a gap remains between the social models proposed in AOSE methodologies and the increasing number of sophisticated agent interaction frameworks outside AOSE, such as those based on auctions, commitments, and dialogue games. Hence, social models in AOSE methodologies need to have more "hooks" to enable integration with rich domain-specific agent interaction frameworks. Towards closer integration between social modelling in AOSE and other agent interaction frameworks, we extend the ROADMAP methodology and provide a framework for enhancing the analysis of interaction requirements through goal-oriented analysis and social modelling. More precisely, goal models provide the purpose of interaction, while social models provide the social dependencies and policies that govern interaction. We show how the resulting requirements specification, complemented by protocol descriptions, can inform the design of the system's interaction model. The resulting approach bridges the gap described above by linking high-level social concepts to low-level, domain-specific design decisions about interaction

A platform-independent domain-specific modeling language for multiagent systems

Associated with the increasing acceptance of agent-based computing as a novel software engineering paradigm, recently a lot of research addresses the development of suitable techniques to support the agent-oriented software development. The state-of-the-art in agent-based software development is to (i) design the agent systems basing on an agent-based methodology and (ii) take the resulting design artifact as a base to manually implement the agent system using existing agent-oriented programming languages or general purpose languages like Java. Apart from failures made when manually transform an abstract specification into a concrete implementation, the gap between design and implementation may also result in the divergence of design and implementation. The framework discussed in this dissertation presents a platform-independent domain-specific modeling language for MASs called Dsml4MAS that allows modeling agent systems in a platform-independent and graphical manner. Apart from the abstract design, Dsml4MAS also allows to automatically (i) check the generated design artifacts against a formal semantic specification to guarantee the well-formedness of the design and (ii) translate the abstract specification into a concrete implementation. Taking both together, Dsml4MAS ensures that for any well-formed design, an associated implementation will be generated closing the gap between design and code.Aufgrund wachsender Akzeptanz von Agentensystemen zur Behandlung komplexer Problemstellungen wird der Schwerpunkt auf dem Gebiet der agentenorientierten Softwareentwicklung vor allem auf die Erforschung von geeignetem Entwicklungswerkzeugen gesetzt. Stand der Forschung ist es dabei das Agentendesign mittels einer Agentenmethodologie zu spezifizieren und die resultierenden Artefakte als Grundlage zur manuellen Programmierung zu verwenden. Fehler, die bei dieser manuellen Überführung entstehen, machen insbesondere das abstrakte Design weniger nützlich in Hinsicht auf die Nachhaltigkeit der entwickelten Softwareapplikation. Das in dieser Dissertation diskutierte Rahmenwerk erörtert eine plattformunabhängige domänenspezifische Modellierungssprache für Multiagentensysteme namens Dsml4MAS. Dsml4MAS erlaubt es Agentensysteme auf eine plattformunabhängige und graphische Art und Weise darzustellen. Die Modellierungssprache umfasst (i) eine abstrakte Syntax, die das Vokabular der Sprache definiert, (ii) eine konkrete Syntax, die die graphische Darstellung spezifiziert sowie (iii) eine formale Semantik, die dem Vokabular eine präzise Bedeutung gibt. Dsml4MAS ist Bestandteil einer (semi-automatischen) Methodologie, die es (i) erlaubt die abstrakte Spezifikation schrittweise bis hin zur konkreten Implementierung zu konkretisieren und (ii) die Interoperabilität zu alternativen Softwareparadigmen wie z.B. Dienstorientierte Architekturen zu gewährleisten