WITHDRAWN: Deep analysis of quality of primary studies on assessing the impact of refactoring on software quality

Kaur, Satnam; Kaur, Amandeep; Dhiman, Gaurav

doi:10.1016/j.matpr.2020.11.217

Cited by 4 publications

(4 citation statements)

References 89 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%

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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“…Shifting the refactoring activity to the design artifact is expected to contribute and positively impact software maintenance [11], [15]. There are two fundamental theories of the research of design-level software refactoring.…”

Section: Literature Studymentioning

confidence: 99%

“…Before it is continued to the other pathway refactoring solution in the design-level artifact, it is better to know the impact of existing approaches to software maintainability. The existing refactoring process at the source code level has already been proven to have a good impact on software maintainability [10], [11]. This research examines the impact of design-level class decomposition on software maintenance.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Design-level Class Decomposition on the Software Maintainability

Priyambadha¹,

Katayama²

2023

IJACSA

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The quality of the software's internal structure tends to decay due to the adaptation to environmental changes. Therefore, it is beneficial to maintain the internal structure of the software to benefit future phases of the software life cycle. A common correlation exists between decaying internal structures and problems like software smell and maintenance costs. Refactoring is a process to maintain the internal structure of software artifacts based on the smell. Decomposition of classes is one of the most common refactoring actions based on Blob smell performed at the source code level. Moving the class decomposition process to the design artifact seems to affect the quality and maintainability of the source code positively. Therefore, studying the impact of design-level class decomposition on source code quality and software maintainability is essential to ascertain the benefits of implementing design-level class decomposition. The metricsbased evaluation shows that the design-level class decomposition positively impacts the source code quality and maintainability with the rank biserial value is 0.69.

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Combinatorial Aspect of Code Restructuring for Virtual Memory Computer Systems Under WS Swapping Strategy

Vyazigin

Mansurova

2023

Lecture Notes in Computer Science

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WITHDRAWN: Deep analysis of quality of primary studies on assessing the impact of refactoring on software quality

Cited by 4 publications

References 89 publications

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

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

The Impact of Design-level Class Decomposition on the Software Maintainability

Combinatorial Aspect of Code Restructuring for Virtual Memory Computer Systems Under WS Swapping Strategy

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