Object Oriented Metrics Based Empirical Model for Predicting “Code Smells” in Open Source Software

Kaur, Sharanpreet; Singh, Satwinder

doi:10.1007/s40031-022-00833-4

Cited by 2 publications

(2 citation statements)

References 31 publications

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“…In other words, the question is: how good is the solution to a problem with auxiliary functionality for the main task? Taking into account this kind of reasoning, we took as the functional of the main optimization problem the mathematical expectation of the number of page faults per one run of the program (code) instead of the average value functional, making an adjustment for the traditional interpretation of the formulation of the restructuring problem [16]- [24]. Constraint (a): this condition ensures that the combined length of blocks assigned to any page does not surpass the page's length.…”

Section: Methodsmentioning

confidence: 99%

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Random access memory page caching: a strategy for enhancing shared virtual memory multicomputer systems performance

Vyazigin,

Mansurova,

Malyshkin

et al. 2024

IJEECS

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This study examines a modified approach to optimizing the performance of support vector machine (SVM)-type multicomputer systems through a distinct type of caching method that allocates space in the random access memory (RAM) of a computing node for caching pages. The article extensively describes research on enhancing the performance of the SVM system through memory page caching in RAM at the hardware level by implementing the SVM system based on field-programmable gate arrays (FPGA). A systematic comparative evaluation highlights a discernible enhancement in system performance relative to systems not equipped with the revised caching algorithm. These findings could prove instrumental for subsequent studies focused on optimizing the performance of SVM systems, providing empirical data to inform future investigations and potential applications in multicomputer system performance enhancement.

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Section: Methodsmentioning

confidence: 99%

“…Currently, one of the main areas of research in the field of improving the performance of SVM-type systems is restructuring [4]- [15] and refactoring [16]- [24] of programs. But there are other areas of research in this area, for example [25], [26].…”

Section: Introductionmentioning

confidence: 99%