1,720,979 research outputs found
EASIER: An Evolutionary Approach for Multi-objective Software ArchItecturE Refactoring
No full textMulti-objective optimization has demonstrated, in the last few years, to be an effective paradigm to tackle different architectural problems, such as service selection, composition and deployment. In particular, multi-objective approaches for searching architectural configurations that optimize quality properties (such as performance, reliability and cost) have been introduced in the last decade. However, a relevant amount of complexity is introduced in this context when performance are considered, often due to expensive iterative generation of performance models and interpretation of results. In this paper we introduce EASIER (Evolutionary Approach for multi-objective Software archItecturE Refactoring), that is an approach for optimizing architecture refactoring based on performance and on the intensity of changes. We focus on the actionable aspects of architectural optimization, instead of merely searching over a set of alternatives. We also start to investigate on the potential influence of performance antipatterns on such process. We have implemented our approach on Æmilia ADL, so to carry out performance analysis and architecture refactoring within the same environment. We demonstrate the effectiveness and applicability of our approach through its experimentation on a case study
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
An approach using performance models for supporting energy analysis of software systems
No full text# LQN4Energy-Replication-Package
This repository contains the replication package and dataset of the paper titled "An approach using performance models for supporting energy analysis of software systems".
This study has been developed by:
1. [Vincenzo Stoico](https://scholar.google.com/citations?user=E8C9Uz4AAAAJ&hl=en)(University of L'Aquila)
2. [Vittorio Cortellessa](https://scholar.google.com/citations?hl=en&user=s4JPUOEAAAAJ)(University of L'Aquila)
3. [Ivano Malavolta](https://scholar.google.com/citations?hl=en&user=ya3htIoAAAAJ)(Vrije University Amsterdam)
4. [Daniele Di Pompeo](https://scholar.google.com/citations?hl=en&user=E2dr5vIAAAAJ)(University of L'Aquila)
5. [Luigi Pomante](https://scholar.google.com/citations?hl=en&user=q2_sZiMAAAAJ)(University of L'Aquila)
for further details, comments, and/or suggestions, you can write an email to the following address:
## Repository Description
This repository is made by three directories:
- `code`: it contains the scripts that read the dataset and generate the results for the Digital Camera and Train Ticket Booking System. Therefore, the response time for the supplied workloads, CPU utilization, the average power, i.e., e multiplier, and the average energy consumption.
- `dc_energy_estimation.py`: generates the energy estimates for Digital Camera
- `dc_overall_stats.py`: calculates the performance and the energy metrics from the measurements collected for Digital Camera
- `ttbs_performance_stats.py`: calculates the performance metrics from the measurements retrieved for Train Ticket Booking System
- `ttbs_energy_stats.py`: calculates the energy metrics from the measurements taken for Train Ticket Booking System
- `ttbs_overall_stats.py`: generates the energy estimates and the charts comparing estimates and measurements for Train Ticket Booking System. It prints the Root Mean Square Error (RMSE) and the Mean Absolute Percentage Error (MAPE).
- `dataset`: it has two subdirectories: `dc` and `ttbs` containing the data collected during the experiments performed for Digital Camera and Train Ticket Booking System, respectively;
- `model`: it includes the Layered Queuing Networks we used to retrieve CPU Utilization and the response time for both case studies;
## How do I run this?
The scripts are written in python, so you must have installed the latest version of python to run them. In addition, they require `pandas`, `matplotlib`, `numpy`, `scipy`.
The suite to execute the Layered Queuing Networks must be installed to retrieve performance estimatations. It is possible to find it at the following repository:
[https://github.com/layeredqueuing/V5](https://github.com/layeredqueuing/V5)
After installation is complete, you can execute the list of commands indicated below to obtain the results for the case studies. The commands must be executed in the described order. The results will be generated in the `results/` directory.
### Digital Camera
1. move to the `~/code` folder
2. execute `python dc_overall_stats.py`, it will take ~1m
3. move to the `~/model` directory and execute `lqns dc.lqnx > ../results/dc_estimates.csv`
4. go back to the `~/code` folder and execute `python dc_energy_estimation.py`
### Train Ticket Booking System
1. move to the `~/code` folder
2. execute `python ttbs_performance_stats.py`
3. execute `python ttbs_energy_stats.py`
3. move to the `~/model` directory and execute `lqns ttbs.lqnx > ../results/ttbs_performance_estimates.csv`
4. go back to the `~/code` folder and execute `python ttbs_overall_stats.py
- …
