Open implementation design guidelines

Kiczales, Gregor; Lamping, John; Lopes, C.V.; Maeda, Chris; Mendhekar, Anurag; Murphy, Gail C.

doi:10.1145/253228.253431

Cited by 91 publications

(49 citation statements)

References 19 publications

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“…OTM follows open implementation principles [10]. Thereby, OTM allows developers to customize the crucial semantics of stateful aspects, like the spawning of matchers.…”

Section: Otm In a Nutshellmentioning

confidence: 99%

Modular and flexible causality control on the Web

Leger

Tanter

Douence

2013

Science of Computer Programming

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Ajax has allowed JavaScript programmers to create interactive, collaborative, and user-centered Web applications, known as Web 2.0 Applications. These Web applications behave as distributed systems because processors are user machines that are used to send and receive messages between one another. Unsurprisingly, these applications have to address the same causality issues present in distributed systems like the need a) to control the causality between messages sent and responses received and b) to react to distributed causal relations. JavaScript programmers overcome these issues using rudimentary and alternative techniques that largely ignore the distributed computing theory. In addition, these techniques are not very flexible and need to intrusively modify these Web applications. In this paper, we study how causality issues affect these applications and present WeCa, a practical library that allows for modular and flexible control over these causality issues in Web applications. In contrast to current proposals, WeCa is based on (stateful) aspects, message ordering strategies, and vector clocks.

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“…OTM follows open implementation principles [10]. Thereby, OTM allows developers to customize the crucial semantics of stateful aspects, like the spawning of matchers.…”

Section: Otm In a Nutshellmentioning

confidence: 99%

Modular and flexible causality control on the Web

Leger

Tanter

Douence

2013

Science of Computer Programming

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“…The services are manageable by contract-driven methods, which is the present trend [28]. That means that for each service type a set of properties (i.e., policies) is defined, and for each value available for the property there is a defined corresponding behaviour [29]. The basic behaviour of the service can thus be restricted, or a different implementation strategy can be adopted within the realisation of the service.…”

Section: Declarative Mangement Of Nfps Of Services and Channelsmentioning

confidence: 99%

Tools and Infrastructure Facilities for Controlling Non-Functional Properties in Inter-Enterprise in Collaborations

Kutvonen

2008

2008 12th Enterprise Distributed Object Computing Conference Workshops

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“…The same spectrum of specificity should be supported by a library of reusable components [KLL+97]. As an application programmer, when you request a component, you should be able to specify only as much as necessary.…”

Section: Fig 1 Problem and Solution Spacementioning

confidence: 99%

Generative Programming

Czarnecki

Østerbye

Völter³

2002

Object-Oriented Technology ECOOP 2002 Workshop Reader

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Abstract. This paper is about a paradigm shift from the current practice of manually searching for and adapting components and their manual assembly to Generative Programming, which is the automatic selection and assembly of components on demand. First, we argue that the current OO technology does not support reuse and configurability in an effective way. Then we show how a system family approach can aid in defining reusable components. Finally, we describe how to automate the assembly of components based on configuration knowledge. We compare this paradigm shift to the introduction of interchangeable parts and automated assembly lines in the automobile industry.We also illustrate the steps necessary to develop a product line using a simple example of a car product line. We present the feature model of the product line, develop a layered architecture for it, and automate the assembly of the components using a generator. We also discuss some design issues, applicability of the approach, and future development.

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Open implementation design guidelines

Cited by 91 publications

References 19 publications

Modular and flexible causality control on the Web

Modular and flexible causality control on the Web

Tools and Infrastructure Facilities for Controlling Non-Functional Properties in Inter-Enterprise in Collaborations

Generative Programming

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