Metrics for quality and concurrency in object-based systems

Welch, Lonnie R.; Lankala, Mrinalini; Farr, William H.; Hammer, D.K.

doi:10.1007/bf02063807

Cited by 12 publications

(12 citation statements)

References 19 publications

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“…So, methods play a similar role there as rules in our approach. The coupling metrics by Welch et al [1996] measure dependencies between an application's globally defined data and its methods. More recently, several coupling metrics for C++ have been defined by by use of a generic framework [Briand et al 1996], and consequently they are compliant with this framework.…”

Section: Related Workmentioning

confidence: 99%

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Coupling and cohesion metrics for knowledge-based systems using frames and rules

Krämer¹,

Kaindl

2004

ACM Trans. Softw. Eng. Methodol.

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Software systems and in particular also knowledge-based systems (KBS) become increasingly large and complex. In response to this challenge, software engineering has a long tradition of advocating modularity. This has also heavily influenced object-oriented development. For measuring certain important aspects of modularity, coupling and cohesion metrics have been developed. Metrics have also attracted considerable attention for object-oriented development. For KBS development, however, no such metrics are available yet.This article presents the core of the first metrics suite for KBS development, its coupling and cohesion metrics. These metrics measure modularity in terms of the relations induced between slots of frames through their common references in rules. We show the soundness of these metrics according to theory and report on their usefulness in practice. As a consequence, we propose using our metrics in order to improve KBS development, and developing other important metrics and assessing their theoretical soundness along these lines.

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Section: Related Workmentioning

confidence: 99%

“…The TCC and LCC metrics defined by Bieman and Kang [1995] are similar to our cohesion metric in that they are also defined as the number of actual connections divided by the number of possible connections. The cohesion metric by Welch et al [1996] is a measure of the amount of "functional-relatedness" of concepts exported by a module.…”

Section: Related Workmentioning

confidence: 99%

Coupling and cohesion metrics for knowledge-based systems using frames and rules

Krämer¹,

Kaindl

2004

ACM Trans. Softw. Eng. Methodol.

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“…The main window of the GUI (shown in the lower left of Figure 2) has a set of buttons for viewing various aspects of a concurrent, object-oriented, real-time system. Specifically, it allows viewing of call and/or rendezvous graphs [13,17], of the distribution specification (the object-to-processor mapping) [13], of metrics [16] pertaining to object-orientedness and concurrency, and of dynamic behavior [15]. In the graphical depiction of a partitioning specification (shown in the upper portions of Figure specifically, tasks appear as boxes, package/object instances appear as circles, methods are shown as triangles, and data structures are represented as elongated rectangles.…”

Section: Introductionmentioning

confidence: 99%

A metrics-driven approach for utilizing concurrency in object-oriented real-time systems

Welch¹

1996

SIGPLAN OOPS Mess.

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This paper presents a metrics-driven process and software toolset for the engineering of concurrent, object-oriented, real-time systems. In the engineering of real-time systems, the objective need not be to exploit all potential concurrency, but to exploit only as much concurrency as is needed to enable satisfaction of timing constraints. Thus, the systems engineering process presented in the paper utilizes inter-object concurrency selectively, as a means to meet timelines. To support the selective use of concurrency, this paper describes techniques for computing inter-object concurrency metrics. It is also shown how the concurrency metrics are used to guide the mapping of objects onto processors.

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“…Other examples for the automatic transformation of a design into an implementation are the concurrency enhancement methods described in [21] and the automatic replication of objects for the support of failure masking.…”

Section: Conventional Design Methodologies For Embeddedmentioning

confidence: 99%

Process-oriented development of embedded systems: modeling behavior and dependability

Hammer

Proceedings Third International Workshop on Object-Oriented Real-Time Dependable Systems

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This paper introduces a new paradigm for the development of Embedded Systems, called process-orientation. From the analysis of the problems encountered with stateof-the-art development methods for Embedded Systems, it becomes obvious that many difficulties are caused by the absence of good behavior models and the resulting intermingling of different design dimensions. It is shown that these problems can be solved by the explicit modeling of dynamic system aspects like behavior, real-time and dependability constraints. This is done by means of so called activities that provide a convenient description of the global behavior of a system and that can be annotated by dynamic constraints.

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Metrics for quality and concurrency in object-based systems

Cited by 12 publications

References 19 publications

Coupling and cohesion metrics for knowledge-based systems using frames and rules

Coupling and cohesion metrics for knowledge-based systems using frames and rules

A metrics-driven approach for utilizing concurrency in object-oriented real-time systems

Process-oriented development of embedded systems: modeling behavior and dependability

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