A New Approach Towards Procurement of Software Models Via Distributed Business Models

Nasiri, Ramin; Moeini, Ali; Abdollahzadeh, Ahmad

doi:10.1023/b:supe.0000032782.92290.52

Cited by 4 publications

(2 citation statements)

References 13 publications

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“…Three other proposals [8,69,92] combine Occurrence with Measurement uncertainty, expressing vagueness in attribute values, class instances and association links, based on Fuzzy set theory and using either UML or their own modeling notations. Occurrence and Measurement uncertainty is explicitly represented in [48] using probability distributions to achieve Risk and Cost analysis under uncertainty.…”

Section: Types Of Uncertainty Addressedmentioning

confidence: 99%

Uncertainty representation in software models: a survey

et al. 2021

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This paper provides a comprehensive overview and analysis of research work on how uncertainty is currently represented in software models. The survey presents the definitions and current research status of different proposals for addressing uncertainty modeling, and introduces a classification framework that allows to compare and classify existing proposals, analyse their current status and identify new trends. In addition, we discuss possible future research directions, opportunities and challenges.A fundamental characteristic of software models is their ability to represent the relevant characteristics of the system under study, at the appropriate level of abstraction. Software models were initially conceived to design and develop general Information Technology (IT) systems, such as financial applications, enterprise databases or component-based systems, and have proven to be excellent artefacts for representing the basic structure and

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Section: Types Of Uncertainty Addressedmentioning

confidence: 99%

Uncertainty representation in software models: a survey

et al. 2021

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“…Indeed, "new (supercomputing) hardware is purchased every three to five years" but "software packages are maintained and used over decades" [10]. It happens because the productivity trend in the HPC software is much more complicated and is typically considered as inadequate [1,21,26].…”

Section: Simulation Example 2: the Rational Service Time Of High-perfmentioning

confidence: 99%

Creative destruction of computing systems: analysis and modeling

Hritonenko

Yatsenko

2006

J Supercomput

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The paper analyzes the problem of rational replacement of computing systems. Such systems, especially high-performance computers, are expensive, but quickly become obsolete. A system analysis of the replacement problem is provided and the relevant modeling problems are identified and studied. The obtained results give certain rules for calculating the optimal lifetime of computing systems, which are based on the given rates of technological change in the related computer industry. Two simulation examples estimate the optimal lifetime of PCs and high-performance computers in the current US economy. The results are in good agreement with other recommendations and existing business practice.

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Extracellular Software Development Ecosystem with Organic Supervenience for Methodology Neutrality and Process Continuity

Dubey

2018

SSRN Journal

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A New Approach Towards Procurement of Software Models Via Distributed Business Models

Cited by 4 publications

References 13 publications

Uncertainty representation in software models: a survey

Uncertainty representation in software models: a survey

Creative destruction of computing systems: analysis and modeling

Extracellular Software Development Ecosystem with Organic Supervenience for Methodology Neutrality and Process Continuity

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