Multi-objective risk analysis with goal models

Aydemir, Fatma Başak; Giorgini, Paolo; Mylopoulos, John

doi:10.1109/rcis.2016.7549302

Cited by 11 publications

(4 citation statements)

References 33 publications

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“…In this work, goals are states of the environment that agents aim to achieve. According to Aydemir, et.al [35], anti-goal is an undesired situation of the system. In this work, anti-goal are states that agents aim to avoid for ethical reasons, particular values, prohibitions, etc.…”

Section: Purpose Model -Overviewmentioning

confidence: 99%

Helping agents to enter and exploit artificial institutions

Cunha

Hübner

Brito

2022

Preprint

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In this paper, we are considering agents that act to satisfy their interests in systems composed of institutions. These institutions are unknown to the agents at design time and are endowed with actions (called institutional actions) with functions that bring consequences in the environment that match the interests of the agents. However, existing models of artificial institutions do not make these consequences explicit. Agents need to know the institutions and the consequences of carrying out institutional actions before acting in the systems. Considering this problem, this paper proposes to instrument institutions with a purpose model that makes the environmental consequences of carrying out institutional actions explicit. In addition, the paper also presents some algorithms that agents can use to consider this information in their reasoning and deliberation process. The model is presented, discussed and implemented using the JaCaMo framework, highlighting its advantages for agents when reasoning about the consequences of their actions both in the institution and in the environment.

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Section: Purpose Model -Overviewmentioning

confidence: 99%

Helping agents to enter and exploit artificial institutions

Cunha

Hübner

Brito

2022

Preprint

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“…They model goals, events, and treatments in three layers. The work discussed in [11] builds upon the framework proposed in [1] and provides multi-object optimization; hence more queries related to risk. Some similarities between our work and the work addressed in [1] are the risk analysis performed in the requirements engineering phase and an ontology provided, which analyzes risks.…”

Section: Related Workmentioning

confidence: 99%

Risk Analysis for Collaborative Systems during Requirements Engineering (S)

Kolluri¹

2021

Proceedings of the 33rd International Conference on Software Engineering and Knowledge Engineering

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Risk, a potential occurrence of some undesirable event, can be dangerous if not adequately identified and dealt with early on during software development. However, identifying risks can be difficult, hence oftentimes resulting in a particular software system that is unable to address risks, especially critical ones adequately. This paper proposes an ontology-based framework for performing risk analysis with the Augmented Reference Model -The Reference Model augmented with risk analysis. The Reference Model emphasizes that the user requirements are met through the collaboration between the system and the events occurring in its environment -i.e., not by the system alone, hence the term "collaborative system." We also offer an activity-oriented ontology to carry out risk analysis by identifying risks from negating the events in the environment and system. Such negations of the requirements, specifications, and domain events generate a graph-like representation, called Risk Analysis Graph (RAG), to help perform risk analysis. To validate our framework, we have performed two experiments using questionnaires to identify risks and use the risk analysis tool to generate RAG for performing risk analysis. We feel that at least these experiments show that RAG helps identify risks -especially the critical and uncommon ones that we would not have thought of.

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“…John, Lawrence and Brian proposed a goaloriented framework for Non-Functional Requirements [44], a series of refinement methods were designed for accuracy and performance requirements. Fatama et al proposed a three layered goal model and conducted multi-objective risk analysis on the goal model [54].…”

Section: Goal-oriented Requirement Engineeringmentioning

confidence: 99%

On Representing Resilience Requirements of Microservice Architecture Systems

Yin

2019

Preprint

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Together with the spread of DevOps practices and container technologies, Microserivce Architecture has become a mainstream architecture style in recent years. Resilience is a key characteristic in Microservice Architecture Systems(MSA Systems), and it shows the ability to cope with various kinds of system disturbances which cause degradations of services. However, due to lack of consensus definition of resilience in the software field, although many works have been done on resilience for MSA Systems, developers still don't have a clear idea on how resilient an MSA System should be, and what resilience mechanisms are needed.In this paper, by referring to existing systematic studies on resilience in other scientific areas, the definition of microservice resilience is provided and a Microservice Resilience Measurement Model is proposed to measure service resilience. And we give a requirement model to represent resilience requirements of MSA Systems. A process framework is also proposed to elicit MSA System resilience requirements. As a proof of concept, a case study is conducted on an MSA System to illustrate how the resilience requirements are elicited and represented.

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Multi-objective risk analysis with goal models

Cited by 11 publications

References 33 publications

Helping agents to enter and exploit artificial institutions

Helping agents to enter and exploit artificial institutions

Risk Analysis for Collaborative Systems during Requirements Engineering (S)

On Representing Resilience Requirements of Microservice Architecture Systems

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