scholarly journals Priority Measurement of Patches for Program Repair Based on Semantic Distance

Symmetry ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 2102
Author(s):  
Yukun Dong ◽  
Meng Wu ◽  
Li Zhang ◽  
Wenjing Yin ◽  
Mengying Wu ◽  
...  
Keyword(s):  
Quality Evaluation ◽  
Evaluation Method ◽  
Semantic Distance ◽  
Patch Quality ◽  
Automated Program Repair ◽  
Program Repair ◽  
Interval Distance ◽  
Quantitative Formula ◽  
Specific Distance

Automated program repair is an effective way to ensure software quality and improve software development efficiency. At present, there are many methods and tools of automated program reapir in real world, but most of them have low repair accuracy, resulting in a large number of incorrect patches in the generated patches. To solve this problem, we propose a patch quality evaluation method based on semantic distance, which measures the semantic distance of patches by using features of interval distance, output coverage, and path matching. For each evaluation feature, we give a quantitative formula to obtain a specific distance value and use the distance to calculate the recommended patch value to measure the quality of the patch. Our quality evaluation method evaluated 279 patches from previous program repair tools, including Nopol, DynaMoth, ACS, jGenProg, and CapGen. This quality evaluation method successfully arranged the correct patches before the plausible but incorrect patches, and it recommended the higher-ranked patches to users first. On this basis, we compared our evaluation method with the existing evaluation methods and judged the evaluation ability of each feature. We showed that our proposed patch quality evaluation method can improve the repair accuracy of repair tools.

A new method to evaluate interlacing yarns

2019 ◽  
Vol 90 (7-8) ◽  
pp. 838-846
Author(s):  
Meng Wang ◽  
Yinlan Zhan ◽  
Leon Yao
Keyword(s):  
Coefficient Of Variation ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Complete Evaluation ◽  
Popular Method ◽  
Modeling Methods ◽  
The Third ◽  
Comparison And Analysis ◽  
Test Algorithm

The theory of purification is proposed in this article. Based on the framework of this theory, several models can be built to give a synthetic quality evaluation of interlacing yarns. In this paper, three models are given. The first one is the most popular method to evaluate the quality of interlacing yarn and we can prove it meets the theory of purification. The second one is modified according to the coefficient of variation. The third one is a new evaluation method. Meanwhile, we give a test algorithm to compare the degree of reflecting common cognition of the three models. From the result of comparison and analysis, the new evaluation method is recommended. It has a comparatively complete evaluation value for every state in universe M. Compared to other modeling methods, this method can give every level of interlacing yarn a relatively pertinent evaluation.

scholarly journals Blind Quality Evaluation for Screen Content Images Based on Regionalized Structural Features

Algorithms ◽  
2020 ◽  
Vol 13 (10) ◽  
pp. 257
Author(s):  
Wu Dong ◽  
Hongxia Bie ◽  
Likun Lu ◽  
Yeli Li
Keyword(s):  
Quality Evaluation ◽  
Evaluation Method ◽  
Structural Information ◽  
Modern Society ◽  
Structural Features ◽  
Human Vision ◽  
Natural Images ◽  
Histograms Of Oriented Gradients ◽  
Screen Content

Currently, screen content images (SCIs) are widely used in our modern society. However, since SCIs have distinctly different properties compared to natural images, traditional quality assessment methods of natural images cannot precisely evaluate the quality of SCIs. Thus, we propose a blind quality evaluation method for SCIs based on regionalized structural features that are closely relevant to the intrinsic quality of SCIs. Firstly, the features of textual and pictorial regions of SCIs are extracted separately. For textual regions, since they contain noticeable structural information, we propose improved histograms of oriented gradients extracted from multi-order derivatives as structural features. For pictorial regions, since human vision is sensitive to texture information and luminance variation, we adopt texture as the structural feature; meanwhile, luminance is used as the auxiliary feature. The local derivative pattern and the shearlet local binary pattern are used to extract texture in the spatial and shearlet domains, respectively. Secondly, to derive the quality of textual and pictorial regions, two mapping functions are respectively trained from their features to subjective values. Finally, an activity weighting strategy is proposed to combine the quality of textual and pictorial regions. Experimental results show that the proposed method achieves better performance than the state-of-the-art methods.

Quality of Automated Program Repair on Real-World Defects

2020 ◽  
pp. 1-1 ◽  
Author(s):  
Manish Motwani ◽  
Mauricio Soto ◽  
Yuriy Brun ◽  
Rene Just ◽  
Claire Le Goues
Keyword(s):  
Real World ◽  
Automated Program Repair ◽  
Program Repair

scholarly journals MEASURES AND INDICATORS OF VGI QUALITY: AN OVERVIEW

2015 ◽  
Vol II-3/W5 ◽  
pp. 345-351 ◽  
Author(s):  
V. Antoniou ◽  
A. Skopeliti
Keyword(s):  
Quality Indicators ◽  
Spatial Data ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Research Papers ◽  
Detailed Report ◽  
Comprehensive Overview ◽  
Academic Effort ◽  
Spatial Data Quality

The evaluation of VGI quality has been a very interesting and popular issue amongst academics and researchers. Various metrics and indicators have been proposed for evaluating VGI quality elements. Various efforts have focused on the use of well-established methodologies for the evaluation of VGI quality elements against authoritative data. In this paper, a number of research papers have been reviewed and summarized in a detailed report on measures for each spatial data quality element. Emphasis is given on the methodology followed and the data used in order to assess and evaluate the quality of the VGI datasets. However, as the use of authoritative data is not always possible many researchers have turned their focus on the analysis of new quality indicators that can function as proxies for the understanding of VGI quality. In this paper, the difficulties in using authoritative datasets are briefly presented and new proposed quality indicators are discussed, as recorded through the literature review. We classify theses new indicators in four main categories that relate with: i) data, ii) demographics, iii) socio-economic situation and iv) contributors. This paper presents a dense, yet comprehensive overview of the research on this field and provides the basis for the ongoing academic effort to create a practical quality evaluation method through the use of appropriate quality indicators.

Quality Evaluation Model for Highway General Mechanical and Electrical Product

2013 ◽  
Vol 706-708 ◽  
pp. 2095-2098
Author(s):  
Cheng Zan Chu ◽  
Li Wei Zhu ◽  
Ran Na
Keyword(s):  
Product Quality ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Rapid Development ◽  
Mechanical Equipment ◽  
The Past ◽  
Generic Quality ◽  
Quality Evaluation Model

Highway general mechanical and electrical product quality is one of the important factors for guaranteeing highway efficient and safe operation. Over the past decade, with the rapid development of highway construction and mechanical equipment manufacturing technology, more and more mechanical and electrical products applied in highway. For the objective and scientific evaluation of quality of mechanical and electrical products, highway mechanical and electrical product quality index system and quality evaluation model were researched based on product generic quality evaluation method, and then verified by actual product case.

scholarly journals An Applicable Way of Teaching Quality Evaluation Based on MOOC Platform

2017 ◽  
Vol 12 (03) ◽  
pp. 57 ◽  
Author(s):  
Chen Zhuo ◽  
Xiaoming Dong
Keyword(s):  
Quality Evaluation ◽  
Evaluation Method ◽  
Control Experiment ◽  
Teaching Quality ◽  
Assessment Model ◽  
Fuzzy Evaluation ◽  
Teaching Management ◽  
Comprehensive Fuzzy Evaluation ◽  
Important Means

The MOOC-based education is an important means to improve the quality of education as the increasing development of internet; meanwhile, the assessment of teaching quality is an indispensable aspect in teaching management, and it has been more and more important as the scale of the students' expansion, In order to deal with the challenges of big data processing effectively in the field of education, we designed a teaching quality assessment model on the MOOC platform based on comprehensive fuzzy evaluation. To verify the effectiveness of our method, a control experiment was adopted to explore the significance of our evaluation method, the results show that it can help teacher to prepare their teaching contents and students to improve their learning efficiency.

Research of Quality Evaluation of PV Power Generation Project Based on the Extension Theory

2015 ◽  
Vol 1092-1093 ◽  
pp. 67-71 ◽  
Author(s):  
Dong Wang ◽  
Mao Sheng Yang
Keyword(s):  
Power Generation ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Scientific Basis ◽  
Extension Theory ◽  
Evaluation Index System ◽  
New Thought ◽  
Photovoltaic Power ◽  
Extension Evaluation

In order to make a further promotion and development of photovoltaic power generation project, this paper brings the extension theory in photovoltaic power generation project quality evaluation and builds the photovoltaic power generation project extension evaluation index system and model on the basis of matter-element theory and extension analysis. Ranking the evaluating projects by calculating the indicators compared with the correlation of evaluation degrees. The paper takes three photovoltaic power generation project in Shaanxi in 2012 as an example, expounding the model is reasonable and reliable. The empirical results give a best reflection on the quality of the photovoltaic power generation project, which provide a scientific basis for project decision. The paper results provide a new thought for quality assessment of photovoltaic power generation project, enriching the photovoltaic power generation project evaluation method.

Comprehensive Evaluation on Testing Quality of Cement Mixing Pile of Weak Subgrade by Core Drilling Method

2014 ◽  
Vol 1065-1069 ◽  
pp. 1559-1563
Author(s):  
Yu Bin Hou ◽  
Yun Liu ◽  
Yan Jie Li
Keyword(s):  
Evaluation System ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Soil Layer ◽  
Standard Test ◽  
Core Drilling ◽  
Drilling Method ◽  
Test Pile

Cement mixing pile is widely used in weak subgrade treatment and the quality of it has a direct bearing on the treatment effect of weak subgrade. Core drilling method is an effective method of testing quality of cement mixing pile. However, there are certain deficiencies in quality evaluation method of this kind of piles during practical application. In this paper, auxiliary evaluation criterion, established through standard test pile and combining with subgrade testing engineering is applied to the quality evaluation on test pile with construction deficiency after being combined with existing evaluation system. The result shows that the adoption of evaluation result of improved quality evaluation system can well reflect the pile construction quality of the test pile under complicated soil layer condition and is a reliable method of pile quality evaluation.

scholarly journals A comprehensive data quality evaluation method for the current of marine controlled-source electromagnetic transmitter based on Analytic Hierarchy Process

2019 ◽  
Author(s):  
Rui Yang ◽  
Meng Wang ◽  
Gongxiang Wang ◽  
Ming Deng ◽  
Jianen Jing ◽  
...  
Keyword(s):  
Electromagnetic Wave ◽  
Analytic Hierarchy Process ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Current Data ◽  
Analytic Hierarchy ◽  
Controlled Source ◽  
Electromagnetic Transmitter ◽  
Hierarchy Process

Abstract. Marine controlled-source electromagnetic method has more and more applications in ocean resources exploration. Electromagnetic transmitter sends electromagnetic wave to the underground, the receiver located on the seafloor receives the electromagnetic wave which carries the information of the geosphere. And the underground structure is obtained by inversion calculation. Data quality of electromagnetic transmitter and seafloor receivers is the most important part of this method. The quality level of transmitting current directly affects the signal-to-noise ratio (SNR) of the electromagnetic field data, as received by a multi-component electromagnetic receiver from the seabed. Although the transmitting current stability is sufficient under normal circumstances, the SNR of the received signal can change owing to factors such as outside noise. In some emergency cases such as instrument failure or a sudden increase in electromagnetic interference that we are not aware of, the frequency and properties of the transmitting current may change, such as its size and waveform. The traditional current monitoring and data playback tools fail to detect and evaluate the anomalies well and in a timely manner, which introduces considerable errors in the later data processing procedure. Pertaining to these issues, this paper proposes a comprehensive quality evaluation method for the transmitting current. The proposed algorithm, based on the analytic hierarchy process, is first used to analyse five current stability parameters: current frequency, positive amplitudes, negative amplitudes, discrepancy of ideal waveform, and waveform repetition and then to define the harmonic energy and calculate the quality of transmitting current (QTC) index of the final data to assess the quality of the transmitting current comprehensively. The results of a marine experiment performed in 2016 show that the algorithm can identify abnormal current data and quantitatively evaluate the current conditions. Under normal circumstances, the QTC index is within 2 %. However, after the simulation of anomalous mutations of the various attributes, the QTC index synchronized mutations to more than 4 % and some curvilinear features were observed. These results will provide a positive, significant guide for the evaluation and monitoring of transmitting current data in marine experiments.

scholarly journals A comprehensive data quality evaluation method for the currents of marine controlled-source electromagnetic transmitters based on the analytic hierarchy process

2020 ◽  
Vol 9 (1) ◽  
pp. 69-77
Author(s):  
Rui Yang ◽  
Meng Wang ◽  
Gongxiang Wang ◽  
Ming Deng ◽  
Jianen Jing ◽  
...  
Keyword(s):  
Analytic Hierarchy Process ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Current Data ◽  
Sudden Increase ◽  
Analytic Hierarchy ◽  
Controlled Source ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

Abstract. We present a quality control methodology for the currents of marine controlled-source electromagnetic transmitters . The quality level of the transmitting current directly affects the signal-to-noise ratio (SNR) of the electromagnetic-field data, as received by a multicomponent electromagnetic receiver from the seabed. Although the transmitting-current stability is sufficient under normal circumstances, the SNR of the received signal can change owing to factors such as outside noise. In some emergency cases such as instrument failure or a sudden increase in electromagnetic interference that we are not aware of, the frequency and properties of the transmitting current, such as its size and waveform, may change. The traditional current monitoring and data playback tools fail to detect and evaluate the anomalies well and in a timely manner, which introduces considerable errors in the later data-processing procedure. Pertaining to these issues, this paper proposes a comprehensive quality evaluation method for the transmitting current. The proposed algorithm, based on the analytic hierarchy process, is first used to analyze five current stability parameters – current frequency, positive amplitudes, negative amplitudes, discrepancy of ideal waveform, and waveform repetition – and then to define the harmonic energy and calculate the quality of transmitting current (QTC) index of the final data to assess the quality of the transmitting current comprehensively. The results of a marine experiment performed in 2016 show that the algorithm can identify abnormal current data and quantitatively evaluate the current conditions. Under normal circumstances, the QTC index is less than 2 %. The key findings are that the QTC index changes to more than 4 % and some curvilinear features are observed if the transmitting-current quality is poor. These results will provide a positive, significant guide for the evaluation and monitoring of transmitting-current data in marine experiments.

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