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Found 5 papers, 1 papers with code
URegM: a unified prediction model of resource consumption for refactoring software smells in open source cloud
In this paper, we propose a framework called Unified Regression Modelling (URegM) which predicts the impact of code smell refactoring on cloud resource usage.
Predicting the Impact of Batch Refactoring Code Smells on Application Resource Consumption
Although automated batch refactoring techniques are known to significantly improve overall software quality and maintainability, their impact on resource utilization is not well studied.
Software Sustainability: A Systematic Literature Review and Comprehensive Analysis
Based on the findings of this review, it is seen that both technical and non-technical sustainability aspects are equally important, taking one into contention and ignoring the other will threaten the sustenance of software products.
Design Smell Analysis for Developing and Established Open Source Java Software
Obtained results show that out of the 4, 020 occurrences of smells that were made for nine preselected types of design smells, 1, 643 design smells were detected for developing software, which mainly consisted of four specific types of smells.
OneDataShare: A Vision for Cloud-hosted Data Transfer Scheduling and Optimization as a Service
Fast, reliable, and efficient data transmission across wide-area networks is a predominant bottleneck for data-intensive cloud applications.
Distributed, Parallel, and Cluster Computing
