Extreme programming of multi-agent systems

Knublauch, Holger

doi:10.1145/544862.544912

Cited by 19 publications

(9 citation statements)

References 9 publications

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“…Knublauch [23] introduces a set of APIs that are extended from the JUNIT testing framework [24], and explores an approach to test agent systems based on the design model of the Gaia methodology using these APIs. Human developers can use these APIs to develop test cases that are automatically executed.…”

Section: Discussionmentioning

confidence: 99%

Automated Testing for Intelligent Agent Systems

Zhang

Thangarajah

Padgham

2011

Lecture Notes in Computer Science

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Abstract. This paper describes an approach to unit testing of plan based agent systems, with a focus on automated generation and execution of test cases. Design artefacts, supplemented with some additional data, provide the basis for specification of a comprehensive suite of test cases. Correctness of execution is evaluated against a design model, and a comprehensive report of errors and warnings is provided to the user. Given that it is impossible to design test suites which execute all possible traces of an agent program, it is extremely important to thoroughly test all units in as wide a variety of situations as possible to ensure acceptable behaviour. We provide details of the information required in design models or related data to enable the automated generation and execution of test cases. We also briefly describe the implemented tool which realises this approach.

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Section: Discussionmentioning

confidence: 99%

Automated Testing for Intelligent Agent Systems

Zhang

Thangarajah

Padgham

2011

Lecture Notes in Computer Science

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“…The latter concepts however, are strategical rather than actually suggesting processes. The authors Knublauch [Knu02a,Knu02b] Baumeister [Bau04] and Auer [Aue07] at last, head into a similar direction as the one presented in this paper and apply the agile methods to knowledge management and more specifically to knowledge modeling and engineering. Their ideas are introduced in the following.…”

Section: State Of the Artmentioning

confidence: 95%

“…According to Knublauch [Knu02a,Knu02b] heavyweight process models are often less useful to knowledge-based systems due to the high expenses for change they entail and the creative potential they fail to fully exploit. Knublauch hence aligns values, principles and methods to match the ones of Extreme Programming [BA05] for knowledge-and specifically ontology-based systems.…”

Section: State Of the Artmentioning

confidence: 99%

Designing Agile Processes in Information Management

Rick

Vossen

Richert

et al. 2010

Automation, Communication and Cybernetics in Science and Engineering 2009/2010

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Nowadays' projects have to cope with increasingly dynamic and turbulent environmental conditions [HHL09]. Agile approaches are one possibility to successfully face this challenge. While combining agile with more traditional process models seems to be usual software development practice in industry [HDGZ06], it lacks of scientific reflection. In this paper, an approach for process design is presented that may be used in information management projects and that combines the advantages of agile software development methodologies and those of traditional information management methods. The agile information management provides process designers with a tool suite that consists of roles, values and principles and a set of various methods and that implements iterative and incremental processes in small steps. Early results of a case study confirm the appropriateness of the approach for challenging frequent changes (e.g. due to changing markets, user needs or vague requirements), interdisciplinary cooperation and communication between the involved roles.

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“…Agile [24] defines a testing phase based on JUnit test framework [15]. In order to use this tool, designed for OO testing, in MAS testing context, they needed to implement a sequential agent platform, used strictly during tests, which simulates asynchronous messagepassing.…”

Section: Integration Testingmentioning

confidence: 99%

Multi-Agent System Testing: A Survey

Houhamdi¹

2011

IJACSA

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Abstract-In recent years, agent-based systems have received considerable attention in both academics and industry. The agent-oriented paradigm can be considered a natural extension to the object-oriented (OO) paradigm. Agents differ from objects in many issues which require special modeling elements but have some similarities. Although there is a well-defined OO testing technique, agent-oriented development has neither a standard development process nor a standard testing technique. In this paper, we will give an introduction to most recent works presented in the area of testing distributed systems composed of complex autonomous entities (agents). We will provide pointers to work by large players in the field. We will explain why this kind of system must be handled differently than less complex systems.

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Extreme programming of multi-agent systems

Cited by 19 publications

References 9 publications

Automated Testing for Intelligent Agent Systems

Automated Testing for Intelligent Agent Systems

Designing Agile Processes in Information Management

Multi-Agent System Testing: A Survey

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