Common coupling as a measure of reuse effort in kernel-based software with case studies on the creation of MkLinux and Darwin

Yu, Liguo

doi:10.1007/bf03192551

Cited by 7 publications

(10 citation statements)

References 11 publications

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“…The global variables appearing in kernel components were categorized in terms of the five categories described in Sections 4.1 through 4.5; Table 2 and Table 3, respectively. Summarizing the results of [6], we found that common coupling within the Mach kernel and the FreeBSD kernel is well designed, inducing only a few dependencies of kernel components on nonkernel components. The relatively self-independent kernel structures led to a high degree of reusability of the two kernels.…”

Section: Application To the Mach And Freebsd Kernelsmentioning

confidence: 64%

“…Global variables are divided into five categories on the basis of definition-use relations. This categorization was used to study common coupling in the Mach and FreeBSD operating systems [6]. The material in the next six subsections is the review of our previous results that are related to this study.…”

Section: Categorization Of Common Coupling In Kernel-based Software Amentioning

confidence: 99%

“…In a previous study [6], we applied our categorization of common coupling to Mach and FreeBSD. Table 1 shows the number of modules in kernel and nonkernel components of Mach and FreeBSD.…”

Section: Application To the Mach And Freebsd Kernelsmentioning

confidence: 99%

“…There are many different categorizations of coupling, all of which include common (global) coupling (two software components are common coupled if they reference the same global variable). Certain types of coupling, especially common coupling, are considered to present risks for software development and reuse [4], [5], [6]. A reusable component should have minimal dependency on other components.…”

Section: Introductionmentioning

confidence: 99%

“…In a previous study [5], we presented a categorization of common coupling within kernel-based software. This categorization provides a way to measure the maintainability and reusability of kernel-based software [6]. In this paper, we apply our categorization and use it to evaluate the reusability of Darwin, which is the product of large-scale reuse of Mach and FreeBSD.…”

Section: Introductionmentioning

confidence: 99%

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Reusability before and after reuse: a darwin case study

Schach²,

Chen³

2005 International Symposium on Empirical Software Engineering, 2005.

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Reusability is a desirable property of a software component. Furthermore, when building a new software product by reusing an existing component, it is important that the reusability of the reused component is not destroyed in the new product. In this paper, we use common coupling, a measure of software dependency, to represent software reusability. We have studied Darwin, an open-source operating system that was built by reusing two open-source operating systems, Mach and FreeBSD. We show that, in the course of building Darwin, much of the reusability in Mach and FreeBSD was retained, and that Darwin is therefore a good example of how to reuse software. Unfortunately, the code written specifically for Darwin is less reusable than the reused code. 368 0-7803-9508-5/05/$20.00 (c)2005 IEEE

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Section: Application To the Mach And Freebsd Kernelsmentioning

confidence: 64%

Section: Categorization Of Common Coupling In Kernel-based Software Amentioning

confidence: 99%

“…In a previous study [6], we applied our categorization of common coupling to Mach and FreeBSD. Table 1 shows the number of modules in kernel and nonkernel components of Mach and FreeBSD.…”

Section: Application To the Mach And Freebsd Kernelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Reusability before and after reuse: a darwin case study

Schach²,

Chen³

2005 International Symposium on Empirical Software Engineering, 2005.

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Ranking open source application integration frameworks based on maintainability metrics: A review of five‐year evolution

Frantz¹,

Rehbein²,

Berlezi³

et al. 2019

Softw Pract Exp

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Integration frameworks are specialized software tools built and adapted to facilitate the design and implementation of integration solutions. An integration solution allows for the reuse of applications from the software ecosystem of companies to support their business processes. There are several open-source integration frameworks available on the market designed to operate in a business context to manipulate structured data; however, increasingly, they are required to deal with unstructured and large volumes of data, thus requiring effort to adapt these frameworks to work with unstructured and large volume of data.Choosing the framework, which is the easiest to be adapted, is not a trivial task.In this article, we review the newest stable versions of four open-source integration frameworks by analyzing how they have evolved regarding their adaptive maintainability over five years. We rank them according to their maintainability degree and compare past and current versions of each framework. To encourage and enable researchers and developers to replicate our experiments, with the aim of verifying our findings, and to experiment with new versions of the integration frameworks analyzed, we detail the experimental protocol used while also having made all the required software involved available on the Web.

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