PosoMAS: An Extensible, Modular SE Process for Open Self-organising Systems

Steghöfer, Jan-Philipp; Seebach, Hella; Eberhardinger, Benedikt; Reif, Wolfgang

doi:10.1007/978-3-319-13191-7_1

Cited by 4 publications

(6 citation statements)

References 24 publications

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“…The present work extends our previous paper on PosoMAS [40] in several ways: it offers a guideline of how the method content can be combined with different life cycles and project management styles based on situational method engineering and exemplifies the guideline with Scrum; it provides an example showing how the process can be applied in practice; and it discusses the similarities and differences with INGENIAS-Scrum, a process that has not been part of the analysis before. Since the format of a research paper is insufficient to describe a comprehensive methodology in full detail, the reader is advised to peruse the detailed process description at http://posomas.isse.de.…”

mentioning

confidence: 72%

“…The sprint backlog that contains those requirements that will be tackled in a sprint is created from the Product Backlog during the Sprint Planning Meeting. Initial requirements are captured in the release planning stage, before the sprints are begun, a task similar to the Initiate Project activity described for the OpenUP earlier [40]. The product backlog is refined by new requirements that are created during sprints or come up during the Sprint Review.…”

Section: Embeddingmentioning

confidence: 99%

“…PosoMAS has adopted a different philosophy. As outlined in our previous paper on the process [40] and in Sect. 2, it has been created to respond to a number of requirements, including extensibility and customisability as well as independence from architectures or tools.…”

mentioning

confidence: 91%

“…The methodology must be extendible and it must be possible to combine it with different process models and to customise it for specific situations as part of a situational method engineering process. This means that it must be possible to use the method chunks put forward in an agile context (e.g., by using it in a specialised Scrum process as described in this paper) as well as in a heavy-weight context (e.g., using the still pervasive waterfall method), or to embed it in the risk/value life cycle provided by the OpenUP (as described in [40]). It must also be possible to apply situational method engineering [21] to the process to come up with a methodology suitable for the project, the team, and the environment it will be used in.…”

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confidence: 99%

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Combining PosoMAS Method Content with Scrum: Agile Software Engineering for Open Self-Organising Systems

Steghöfer¹,

Seebach²,

Eberhardinger³

et al. 2016

SCPE

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In this paper we discuss how to combine the method content from PosoMAS, the Process for open, self-organising Multi-Agent Systems, with the agile iterative-incremental life cycle of Scrum. The result is an agile software engineering methodology tailored to open self-organising systems. We show how the methodology has been applied in a development project and discuss the lessons learned. Finally, we compare the Scrum version of PosoMAS to other agile agent-oriented software engineering methodologies and address the selection of a suitable process.

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mentioning

confidence: 72%

Section: Embeddingmentioning

confidence: 99%

mentioning

confidence: 91%

mentioning

confidence: 99%

See 2 more Smart Citations

Combining PosoMAS Method Content with Scrum: Agile Software Engineering for Open Self-Organising Systems

Steghöfer¹,

Seebach²,

Eberhardinger³

et al. 2016

SCPE

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“…To make these insights accessible to a broader community, we embedded them in a methodology for the principled design of open self-organising systems. More details concerning this Process for open self-organising Multi-Agent Systems (PosoMAS) [6] are available online. …”

mentioning

confidence: 99%

Specification and Design of Trust-Based Open Self-Organising Systems

Anders

Siefert

Schiendorfer

et al. 2016

Trustworthy Open Self-Organising Systems

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In open multi-agent systems, we can make only little assumptions about the system's scale, the behaviour of participating agents, and its environment. Especially with regard to mission-critical systems, the ability to deal with a large number of heterogeneous agents that are exposed to an uncertain environment becomes a major concern: Because failures can have massive consequences for people, industries, and public services, it is of utmost importance that such systems achieve their goals under all circumstances. A prominent example are power management systems whose paramount goal is to balance production and consumption. In this context, we tackle challenges comprising how to specify and design these systems to allow for their efficient and robust operation. Among other things, we introduce constraint-based specification techniques to address the system's heterogeneity and show trust models that allow to measure, anticipate, and deal with uncertainties. On this basis, we present algorithms for self-organisation and self-optimisation that enable the formation of scalable system structures at runtime and allow for efficient and robust resource allocation under adverse conditions. Throughout the chapter, the problem of balancing production and consumption in decentralised autonomous power management systems serves as a case study.

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Towards adaptive multi-robot systems: self-organization and self-adaptation

Hrabia

Lützenberger

Albayrak

2018

The Knowledge Engineering Review

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The development of complex systems ensembles that operate in uncertain environments is a major challenge. The reason for this is that system designers are not able to fully specify the system during specification and development and before it is being deployed. Natural swarm systems enjoy similar characteristics, yet, being self-adaptive and being able to self-organize, these systems show beneficial emergent behaviour. Similar concepts can be extremely helpful for artificial systems, especially when it comes to multi-robot scenarios, which require such solution in order to be applicable to highly uncertain real world application. In this article, we present a comprehensive overview over state-of-the-art solutions in emergent systems, self-organization, self-adaptation, and robotics. We discuss these approaches in the light of a framework for multi-robot systems and identify similarities, differences missing links and open gaps that have to be addressed in order to make this framework possible.

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PosoMAS: An Extensible, Modular SE Process for Open Self-organising Systems

Cited by 4 publications

References 24 publications

Combining PosoMAS Method Content with Scrum: Agile Software Engineering for Open Self-Organising Systems

Combining PosoMAS Method Content with Scrum: Agile Software Engineering for Open Self-Organising Systems

Specification and Design of Trust-Based Open Self-Organising Systems

Towards adaptive multi-robot systems: self-organization and self-adaptation

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