1. April 15, 2005Department of Computer Science, BYU Agent-Oriented Software Engineering Muhammed Al-Muhammed Brigham Young University Supported in part by NSF

2. April 15, 2005Department of Computer Science, BYU(2) Outline  Software Engineering  Agents  Agent-Oriented Software Engineering  Agent Modeling Tools  Methodologies  Reuse in Agent Software  Future Directions

3. April 15, 2005Department of Computer Science, BYU(3) Software Engineering  “The establishment and use of sound engineering principles (methods) in order to obtain economically software that is reliable and works on real machines” (Bauer, F. L. Software Engineering. Information Processing 71., 1972)

4. April 15, 2005Department of Computer Science, BYU(4) Software Engineering  Some principles [GJM91]  Modularity  Abstraction  Process of developing software  Requirement analysis, design, testing,…  Software Architecture [Gar00]  Past trends  Current and future trends

5. April 15, 2005Department of Computer Science, BYU(5) Outline  Software Engineering  Agents  Agent-Oriented Software Engineering  Agent Modeling Tools  Methodologies  Reuse in Agent Software  Future Directions

6. April 15, 2005Department of Computer Science, BYU(6) Agents  Definition [FG96] “ An agent is a system situated within and part of environment that senses that environment and acts on it, over time, in pursuit of its own agenda and so as to effect what it senses in the future.”  Agent properties [JSW98, Bra97]  Autonomy  has control over its behavior  Re-activity  continuously observes and react to changes in its environment in timely fashion  Pro-activity  goal oriented  Sociality  communicate in a high-level way

7. April 15, 2005Department of Computer Science, BYU(7) Agents  Contributors to agent research [JSW98]  Artificial intelligence  Object systems  Human-computer interface design  Multi-agent systems  Agent communication languages  KQML [FLM97] & FIPA

8. April 15, 2005Department of Computer Science, BYU(8) Outline  Software Engineering  Agents  Agent-Oriented Software Engineering  Agent Modeling Tools  Methodologies  Reuse in Agent Software  Future Directions

9. April 15, 2005Department of Computer Science, BYU(9) Agent-Oriented Software Engineering [Jen00]  The case for agent orientation to software engineering  Agent-oriented decomposition is an effective way of partitioning a problem space  Agent mindset (agent, interactions, and organizational relationships) are a natural means for modeling complex systems

10. April 15, 2005Department of Computer Science, BYU(10) Agent-Oriented Software Engineering [Jen00]  Problems of agent-based approaches to software engineering  Unpredictable patterns and outcomes of the interactions  Difficult (or impossible) to predict the behavior of the overall system based on its constituent components

11. April 15, 2005Department of Computer Science, BYU(11) Outline  Software Engineering  Agents  Agent-Oriented Software Engineering  Agent Modeling Tools  Methodologies  Reuse in Agent Software  Future Directions

12. April 15, 2005Department of Computer Science, BYU(12) Agent Modeling Tools  UML – unsuitable for agent modeling  Two major extensions to UML  AUML – extends UML specifically it extends UML interaction diagrams to support agent protocols [PO04]  AML – extends UML and uses concepts from AUML, OWL, MESSAGE, FIPA-S… [CTCG04]

13. April 15, 2005Department of Computer Science, BYU(13) Outline  Software Engineering  Agents  Agent-Oriented Software Engineering  Agent Modeling Tools  Methodologies  Reuse in Agent Software  Future Directions

14. April 15, 2005Department of Computer Science, BYU(14) Methodologies  Methodologies based on agent theory  Extensions of object-oriented methodologies  Methodologies based on knowledge engineering  Hybrid methodologies

15. April 15, 2005Department of Computer Science, BYU(15) Methodologies Based on Agent Theory  Provides more support for agent aspects than other approaches  Lacks maturity and support outside of research labs

16. April 15, 2005Department of Computer Science, BYU(16) Methodologies Based on Agent Theory  Exiting methodologies  GAIA [ZJW03] Conceptualizes a multi-agent system as a society Covers only analysis and design phase  Others ROADMAP [JPS02], Tropos [GMP02], and SODA [Omi01]

17. April 15, 2005Department of Computer Science, BYU(17) Extensions of Object-Oriented Methodologies  Rationale  Similarities between agents and objects Both paradigms use message passing for communication Agents can be thought of as active objects  Object techniques well understood by engineers  Using these techniques accelerates agent use in industry

18. April 15, 2005Department of Computer Science, BYU(18) Extensions of Object-Oriented Methodologies  But these methodologies do not address many agent aspects  Mental states  Social dimensions

19. April 15, 2005Department of Computer Science, BYU(19) Extensions of Object-Oriented Methodologies  Existing methodologies  MaSE [WD01] Leads engineers from specification to implementation Covers many phases: capturing goals, applying use cases, …  Others PASSI [CP02] Prometheus [PW02]

20. April 15, 2005Department of Computer Science, BYU(20) Methodologies Based on Knowledge Engineering  Rationale  Agent knowledge can be considered as a knowledge acquisition process  Acquired experience in knowledge engineering can help expedite introducing agent technology to industry  Do not address many agent aspects  Social aspects  Reactive and proactive behaviors

21. April 15, 2005Department of Computer Science, BYU(21) Methodologies Based on Knowledge Engineering  MAS-CommonKADS [IMGV98]  Incorporates aspects from knowledge engineering and object technology  Covers the following phases: Conceptualization: obtaining a preliminary description of the problem Analysis: agent model, task model, expertise model … Design: design model

22. April 15, 2005Department of Computer Science, BYU(22) Hybrid Methodologies  General-purpose methodologies may be infeasible  Each methodology has strengths and weaknesses  Integrating strong features from different methodologies may produce a better methodology

23. April 15, 2005Department of Computer Science, BYU(23) Hybrid Methodologies  Two approaches  Skeleton methodology (integrates two methodologies) [JSW02] The core of skeleton has six models from both methodologies Can model systems with low agency needs Optional models are available when more agency required  Modular methodology [JSMM03] Promotes the use of more than methodology Depends on the notion of software engineering feature Add features from different methodology as needed

24. April 15, 2005Department of Computer Science, BYU(24) Other Approaches  A three level technique to build multi-agent systems [HGR03]  Phases: Three models: role model, agent model, and object model Meta-model for each level along with a translator to next level  A one-process model technique to build multi- agent systems [KR02]  Simplifies obtaining requirements  Relies on one model—process model

25. April 15, 2005Department of Computer Science, BYU(25) Outline  Software Engineering  Agents  Agent-Oriented Software Engineering  Agent Modeling Tools  Methodologies  Reuse in Agent Software  Future Directions

26. April 15, 2005Department of Computer Science, BYU(26) Reuse in Agent Software  Researchers have identified many patterns [Lin02,GL04] such as  Interaction patterns  Organizational Patterns  Role patterns  Each pattern is described by a schema  A collection of aspects that fully capture a software pattern

27. April 15, 2005Department of Computer Science, BYU(27) Outline  Software Engineering  Agents  Agent-Oriented Software Engineering  Agent Modeling Tools  Methodologies  Reuse in Agent Software  Future Directions

28. April 15, 2005Department of Computer Science, BYU(28) Future Directions  Openness  No good support for open systems  More specialized methodologies are required  Semantic web  Engineering semantic web services  Users (not software engineers) will design their applications Library of ready-to-use, high-level components Methodologies to guide users to configure components Generation of agents on-the-fly, as needed to perform services