Rationalism with a dose of empiricism: combining goal reasoning and case-based reasoning for self-adaptive software systems

Qian, Wenyi; Peng, Xin; Chen, Bihuan; Mylopoulos, John; Wang, Huanhuan; Zhao, Wenyun

doi:10.1007/s00766-015-0227-1

Cited by 18 publications

(19 citation statements)

References 32 publications

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“…In terms of adaptation approaches that use goal models but not SysML, we find several methods such as those from Morandini et al [82,83], Qian et al [94], Ramnath et al [95], Baresi et al. [86], and Baresi and Pasquale [87,88].…”

Section: Self-adaptation Propertiesmentioning

confidence: 99%

Self-Adaptation Driven by SysML and Goal Models -- A Literature Review

Anda¹,

Amyot²

2022

EISEJ

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Background: Socio-cyber-physical systems (SCPSs) are a type of cyber-physical systems with social concerns. Many SCPSs, such as smart homes, must be able to adapt to reach an optimal symbiosis with users and their contexts. The Systems Modeling Language (SysML) is frequently used to specify ordinary CPSs, whereas goal modeling is a requirements engineering approach used to describe and reason about social concerns. Objective: This paper aims to assess existing modeling techniques that support adaptation in SCPSs, and in particular those that integrate SysML with goal modeling. Method: A systematic literature review presents the main contributions of 52 English articles selected from five databases that use both SysML and goal models (17 techniques), SysML models only (11 techniques), or goal models only (8 techniques) for analysis and self-adaptation. Result: Existing techniques have provided increasingly better modeling support for adaptation in a SCPS context, but overall analysis support remains weak. The techniques that combine SysML and goal modeling offer interesting benefits by tracing goals to SysML (requirements) diagrams and influencing the generation of predefined adaptation strategies for expected contexts, but few target adaptation explicitly and most still suffer from a partial coverage of important goal modeling concepts and of traceability management issues.

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Section: Self-adaptation Propertiesmentioning

confidence: 99%

Self-Adaptation Driven by SysML and Goal Models -- A Literature Review

Anda¹,

Amyot²

2022

EISEJ

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“…This is important for self-adaptive systems in environments such as the military domain due to the vast potential of operating contexts that cannot easily be accounted for during self-adaptive system design. A small number of papers (11%) considered this property in their evaluation, such as [68] where adaptation effectiveness of the considered approaches was evaluated in terms of key quality constraints for a particular application. In the future, a heightened focus on evolvability would support the development of highly complex self-adaptive systems for dynamic environments.…”

Section: B Critical System Propertiesmentioning

confidence: 99%

Self-Adaptive Software Systems in Contested and Resource-Constrained Environments: Overview and Challenges

et al. 2021

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Self-adaptive approaches are a promising to address the dynamic and uncertain nature of the environments where today's complex systems operate. In particular, systems operating in military environments, during crises or under unexpected conditions need to address critical concerns related to resource sparsity and the unstable and uncertain nature of exchanged information. Despite a plethora of self-adaptive and autonomic approaches proposed in the last decade, very few have been designed for or evaluated in contested environments, where adversarial action in the communications domain leads to stale or incomplete information, or in resource-constrained environments, where resources are either limited or required by a large number of components. These conditions are where self-adaptability to aid human operators is needed the most. To better understand self-adaptation in contested and resource-constrained environments, we conducted a systematic literature review of publications over the last decade. We conduct our review through the lens of a military environment, where contention, both physical and from a resource, be it computational or communication based is at its peak. We followed the systematic literature review methodology and analysed 238 primary studies. We identified that the most frequent application domains are those where failures are frequent and costly, namely, cloud computing, web services and applications, and servers. Despite this, less than 3% of the papers considered constrained resources and stale or incomplete information and a significant focus was on developing centralised solutions instead of distributed ones throughout all papers. Very few papers (4.6%) considered environments where the information about the system components was not readily available. No papers evaluated the systems running in contested and resource-constrained environments. We present an analysis of the self-adaptive systems that consider incomplete or stale information and constrained resources, discuss their limitations and identify future areas of research. Critical research gaps include the lack of evaluation of self-adaptive approaches, including the lack of standards or formalisms to allow for the comparison of various approaches. In addition, there is a need to consider more self-* properties and non-functional requirements in order to make sure the designed system is resilient. This paper presents our review findings in detail, examines how self-adaptation happens in contested and resource-constrained environments, and discusses the identified research gaps.INDEX TERMS Adaptability, contested environments, self-adaptive systems, self-organization.

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“…Sharaf-El-Deen et al [8] proposed a new hybrid case-based reasoning approach for medical diagnosis systems. Qian et al [9] proposed an improved requirements-driven self-adaptation approach that combines goal reasoning and casebased reasoning. Gu et al [10] proposed a CBR system based on the weighted heterogeneous value distance metric.…”

Section: Requirement Analysis Of Intelligent Product Designmentioning

confidence: 99%

Knowledge Service Technology for Supporting Intelligent Product Design

Wang

Niu

2021

Shock and Vibration

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In this paper, a knowledge service method that supports the intelligent design of products is investigated. The proposed method provides the solutions to computational problems and reasoning and decision-making problems in the field of intelligent design. The requirement analysis of a knowledge-based intelligent design system integrates design knowledge into case-based reasoning activities through scheme analysis, scheme evaluation, and scheme adjustment, thus achieving knowledge-based intelligent reasoning and decision-making. During the similarity matching, a new hybrid similarity measurement method is proposed to calculate the similarity of crisp and fuzzy sets. This method integrates the fuzzy set similarity theory based on the traditional similarity measurement method. A method of attribute level classification is proposed to assign weight coefficients. The attributes are divided into the primary matching and auxiliary matching levels according to the decisiveness of case matching, and the set of weight coefficients is continuously and dynamically updated through case-based reasoning learning. Then, the weighted global similarity measure is used to obtain the set of similar cases from the case database. Finally, a design example of a computer numerical control tool holder product is studied to present the practicability and effectiveness of the proposed method.

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Rationalism with a dose of empiricism: combining goal reasoning and case-based reasoning for self-adaptive software systems

Cited by 18 publications

References 32 publications

Self-Adaptation Driven by SysML and Goal Models -- A Literature Review

Self-Adaptation Driven by SysML and Goal Models -- A Literature Review

Self-Adaptive Software Systems in Contested and Resource-Constrained Environments: Overview and Challenges

Knowledge Service Technology for Supporting Intelligent Product Design

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