Relationship-based change propagation: A case study

Chećhik, Marsha; Lai, Winnie; Nejati, Shiva; Cabot, Jordi; Diskin, Zinovy; Easterbrook, Steve; Sabetzadeh, Mehrdad; Salay, Rick

doi:10.1109/mise.2009.5069890

Cited by 18 publications

(12 citation statements)

References 10 publications

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“…We made this decision with the hope of achieving higher levels of automation. This rationale is consistent with the findings of Chechik et al [26], who reason that propagating changes between models at different levels of abstraction is impossible.…”

Section: Related Worksupporting

confidence: 91%

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Towards Change Propagating Test Models in Autonomic and Adaptive Systems

Akour

Jaidev

King

2011

2011 18th IEEE International Conference and Workshops on Engineering of Computer-Based Systems

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Autonomic and adaptive computing systems can add, remove, and replace their own components in response to a changing environment. Self-adaptation facilitates the performance of automated maintenance and configuration tasks, but makes it possible for faults to be introduced into the software at runtime. To address this issue, researchers have developed approaches for integrating runtime testing into autonomic and adaptive software systems.An important aspect of runtime testing approaches for autonomic software is the provision of a framework for regression testing, which determines whether modifications have introduced faults into previously tested components. However, after adaptation occurs in autonomic software, a predefined test set may no longer be applicable due to changes in the program structure. Investigating techniques for dynamically updating regression tests after adaptation is therefore necessary to ensure such approaches can be applied in practice.In this paper we describe a model-driven approach that maps structural adaptations in autonomic software, to updates for its runtime test model. We provide a workflow and metamodel to support the approach, referred to as Test Information Propagation (TIP). To demonstrate TIP, we have developed a prototype that simulates a reductive change to an autonomic, service-oriented healthcare application. Conducting the simulation has provided us with much insight into this highly challenging research problem.

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Section: Related Worksupporting

confidence: 91%

“…Chechik et al [26] have taken a model-based approach and provided an algorithm for propagating changes between requirements and design models. Their approach propagates changes between requirements-level activity diagrams, and design-level sequence diagrams.…”

Section: Related Workmentioning

confidence: 99%

Towards Change Propagating Test Models in Autonomic and Adaptive Systems

Akour

Jaidev

King

2011

2011 18th IEEE International Conference and Workshops on Engineering of Computer-Based Systems

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“…Controlled Update Approaches with support for multiple models may only allow the user to update the state in a controlled manner, typically only allowing updates over a single model [7,27,33] so that the propagation to the others is more easily managed. These is common in bidirectional transformation techniques, where the update is propagated from one of the models to the other: allowing concurrent updates could lead to conflicts that could not be resolved.…”

Section: Multi-modelmentioning

confidence: 99%

A Feature-Based Classification of Model Repair Approaches

Macedo

Tiago

Cunha

2017

IIEEE Trans. Software Eng.

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Consistency management, the ability to detect, diagnose and handle inconsistencies, is crucial during the development process in Model-driven Engineering (MDE). As the popularity and application scenarios of MDE expanded, a variety of different techniques were proposed to address these tasks in specific contexts. Of the various stages of consistency management, this work focuses on inconsistency fixing in MDE, where such task is embodied by model repair techniques. This paper proposes a feature-based classification system for model repair techniques, based on an systematic review of previously proposed approaches. We expect this work to assist both the developers of novel techniques and the MDE practitioners looking for suitable solutions.

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“…In particular, we would like to investigate how one can combine a collection of models that are interconnected via not just one but multiple relationship types, i.e., the situation where some models are overlapping, some models are interacting, and some models are cross-cutting others. Further, we plan to extend our conceptual framework to encompass other model management operations such as consistency checking and change propagation [3,4].…”

Section: Discussionmentioning

confidence: 99%

A relationship-based approach to model integration

Chećhik

Nejati

Sabetzadeh

2011

Innovations Syst Softw Eng

Self Cite

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A key problem in model-based development is integrating a collection of models into a single, larger, specification as a way to construct a functional system, to develop a unified understanding, or to enable automated reasoning about properties of the resulting system.In this article, we suggest that the choice of a particular model integration operator depends on the inter-model relationships that hold between individual models. Based on this observation, we distinguish three key integration operators studied in the literature -merge, composition and weaving -and describe each operator along with the notion of relationship that underlies it.We then focus on the merge activity and provide a detailed look at the factors that one must consider in defining a merge operator, particularly the way in which the relationships should be captured during merge. We illustrate these factors using two merge operators that we have developed in our earlier work for combining models that originate from distributed teams.

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Relationship-based change propagation: A case study

Abstract: Software development is an evolutionary process. Re

Cited by 18 publications

References 10 publications

Towards Change Propagating Test Models in Autonomic and Adaptive Systems

Towards Change Propagating Test Models in Autonomic and Adaptive Systems

A Feature-Based Classification of Model Repair Approaches

A relationship-based approach to model integration

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