An object-oriented layered approach to interfaces for hardware/software codesign of embedded systems

Gardner, William B.; Serra, M.

doi:10.1109/hicss.1998.649214

Cited by 4 publications

(4 citation statements)

References 2 publications

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“…TED(Traditional embedded design) can not satisfy modern requirement because it develops hardware and software independently, so this design mode is replaced by HW/SW Codesign method gradually. Today, most HW/SW Codesign methods aim at chip-level and the research mainly focuses on two aspects [1][2][3] . The first one is how to describe embedded system.…”

Section: Instructionmentioning

confidence: 99%

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A practical HW/SW codesign method for system-level embedded system

Meng

Qiao

Liu

et al. 2008

2008 7th World Congress on Intelligent Control and Automation

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The development of modern embedded system needs more practical design technology with larger covering scope. A codesign method called DT(Dual-Trees) is proposed for system-level in coarse-grained view. This method builds behavior-tree and resource-tree by UML description and achieves the reasonable design results through analyzing the two trees integrally. Compared with other codesign methods, DT fully considers the actual design environment and enforces the user's free design by different-level constraint description. In addition, more integrated resource classes of embedded system are defined in this method too. Proved by the experiment, this method has advantages as following: smaller design and realization spending of algorithm, lower sensitivity to the initial condition, stronger actual utility and so on.Index Terms -Embedded System, HW/SW Codesign, UML, DT.

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Section: Instructionmentioning

confidence: 99%

“…Calculate normalized index N TS . N TS =T*Į+S*(1-Į) (2) Step 3. Compare all the N TS , and the least one is the final choice.…”

Section: B Description Of Embedded System Resourcementioning

confidence: 99%

A practical HW/SW codesign method for system-level embedded system

Meng

Qiao

Liu

et al. 2008

2008 7th World Congress on Intelligent Control and Automation

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“…Researchers, however, are consistent in asserting a positive relationship between complexity and errors in task performance (i.e., as task complexity increases, performance decreases) (Borthick et al 2001a, Borthick 2001bCampbell 1988;Chan et al 1999;Jih et al 1989;March and Simon 1958;Rho and March;1997). Furthermore, as task complexity increases, end users' confidence in their solution to the problem is likely to decrease (Campbell 1988;Gardner and Serra 1997). Problems arising from more complex queries include lower effectiveness, efficiency, and confidence.…”

Section: End-user Query Performancementioning

confidence: 99%

Analysis of Competing Data Structures: Does Ontological Clarity Produce Better End User Query Performance

Bowen¹,

O'Farrell²,

Rohde³

2006

JAIS

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End users respond to the information requests of stakeholders by using SQL-based query tools to retrieve information from their organizations' data stores. The structure of these data stores impacts end users' performance (e.g., the accuracy of their queries). Traditionally, logical data models with optional properties (referred to hereafter as more-traditional models) are used. Ontologically clearer conceptual models, however, have been shown to facilitate better understanding of real-world application domains. The question now arises as to whether ontologically clearer (i.e., more precise) implementation representations also improve end-user query performance. This paper reports the results of an experiment that investigates the effect on query performance of more-traditional logical models compared to ontologically clearer logical models. End users of the ontologically clearer implementation made fewer semantic errors and were more confident in the accuracy of their queries. No statistical difference in time was observed between users of the two types of logical models.

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“…Researchers, however, are consistent in asserting a positive relationship between complexity and errors in task performance, i.e., as task complexity increases, performance decreases (Borthick et al, 2001;Campbell 1988;March & Simon, 1958). Furthermore, as task complexity increases, end users' confidence in their solution to the problem is likely to decrease (Campbell, 1988;Gardner & Serra, 1997). Problems arising from more complex queries include lower effectiveness, efficiency, and confidence.…”

Section: Complexity's Effect On Performancementioning

confidence: 99%

Ex Ante Evaluations of Alternate Data Structures for End User Queries

Bowen

Rohde

Basford

2004

Journal of Database Management

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The data structure of an information system can significantly impact the ability of end users to efficiently and effectively retrieve the information they need. This research develops a methodology for evaluating, ex ante, the relative desirability of alternative data structures for end user queries. This research theorizes that the data structure that yields the lowest weighted average complexity for a representative sample of information requests is the most desirable data structure for end user queries. The theory was tested in an experiment that compared queries from two different relational database schemas. As theorized, end users querying the data structure associated with the less complex queries performed better. Complexity was measured using three different Halstead metrics. Each of the three metrics provided excellent predictions of end user performance. This research supplies strong evidence that organizations can use complexity metrics to evaluate, ex ante, the desirability of alternate data structures. Organizations can use these evaluations to enhance the efficient and effective retrieval of information by creating data structures that minimize end user query complexity.

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An object-oriented layered approach to interfaces for hardware/software codesign of embedded systems

Cited by 4 publications

References 2 publications

A practical HW/SW codesign method for system-level embedded system

A practical HW/SW codesign method for system-level embedded system

Analysis of Competing Data Structures: Does Ontological Clarity Produce Better End User Query Performance

Ex Ante Evaluations of Alternate Data Structures for End User Queries

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