2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)最新文献_第4页

Toward Ordering the Set of Modifications to Solve a Maintenance Request 为解决维修要求而订购一套修改

2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC) Pub Date : 2020-07-01 DOI: 10.1109/COMPSAC48688.2020.0-116

G. Villavicencio

引用次数: 0

IRBFL: An Information Retrieval Based Fault Localization Approach 基于信息检索的故障定位方法

2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC) Pub Date : 2020-07-01 DOI: 10.1109/COMPSAC48688.2020.0-142

Zheng Li, Xuewei Bai, Haifeng Wang, Yong Liu

{"title":"IRBFL: An Information Retrieval Based Fault Localization Approach","authors":"Zheng Li, Xuewei Bai, Haifeng Wang, Yong Liu","doi":"10.1109/COMPSAC48688.2020.0-142","DOIUrl":"https://doi.org/10.1109/COMPSAC48688.2020.0-142","url":null,"abstract":"Identifying the location of faults in real-world programs is one of the most costly processes during software debugging. In order to reduce debugging effort, many fault localization techniques have been proposed. One of the most widely studied technique is called Spectrum-based fault localization (SBFL), which uses the coverage information and execution results of test cases to do fault localization. Most SBFL techniques only consider the binary coverage information and ignore the execution frequency, so their fault localization accuracy is limited, especially when faults occur in the iteration entities or loop bodies. In this paper, we propose IRBFL, a novel fault localization technique based on information retrieval to extract information from execution frequencies of program entities. IRBFL uses mutation analysis to reduce the low suspicious classes, and then it adopts information retrieval techniques to calculate the suspiciousness value. We evaluate IRBFL on 205 real-world faults from 5 programs in Defects4J benchmark. The experimental results show that our proposed method outperforms the other five state-of-the-art SBFL techniques. More specifically, no matter in single-fault or multi-fault programs, IRBFL can identify 2 to 3 times more faulty methods than the other five SBFL techniques when checking the top 1 method. More empirical results in terms of other metrics, including acc@3, acc@5, EXAM, MRR, and MAP, also indicate that IRBFL technique is better than the other five SBFL techniques.","PeriodicalId":430098,"journal":{"name":"2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116180523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Simulating the Printed Circuit Board Assembly Process for Image Generation 模拟印刷电路板组装过程中的图像生成

2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC) Pub Date : 2020-07-01 DOI: 10.1109/COMPSAC48688.2020.00040

Johannes Nau, Johannes Richter, Detlef Streitferdt, M. Kirchhoff

引用次数: 1

Mobi-PMFS: An Efficient and Durable In-Memory File System for Mobile Devices Mobi-PMFS:一种高效、持久的移动设备内存文件系统

2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC) Pub Date : 2020-07-01 DOI: 10.1109/COMPSAC48688.2020.00286

Chunhua Xiao, Fangzhu Lin, Xiaoxiang Fu, Ting Wu, Yuanjun Zhu, Weichen Liu

引用次数: 0

Understanding Veterans Expression of Anger Using Social Media Analysis 利用社交媒体分析了解退伍军人的愤怒表达

2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC) Pub Date : 2020-07-01 DOI: 10.1109/COMPSAC48688.2020.00-12

Nadiyah Johnson, Joseph Coelho, Md Fitrat Hossain, Thomas Kissane, Wylie Frydrychowi, Madiraju Praveen, Zeno Franco, Katinka Hooyer, Priyanka Annapureddy, Sheikh Iqbal Ahamed

{"title":"Understanding Veterans Expression of Anger Using Social Media Analysis","authors":"Nadiyah Johnson, Joseph Coelho, Md Fitrat Hossain, Thomas Kissane, Wylie Frydrychowi, Madiraju Praveen, Zeno Franco, Katinka Hooyer, Priyanka Annapureddy, Sheikh Iqbal Ahamed","doi":"10.1109/COMPSAC48688.2020.00-12","DOIUrl":"https://doi.org/10.1109/COMPSAC48688.2020.00-12","url":null,"abstract":"Millions of US service members have been deployed to Iraq and Afghanistan over the past decade. When returning home, many veterans experience difficulties reintegrating into civilian society. Veterans are often faced with challenges finding employment, completing higher education and reconnecting to friends and family. These challenges often result in or exacerbate existing mental health issues. Post-Traumatic Stress Disorder (PTSD) is a mental disorder that impacts between 15-20% of veterans. It is a national priority to find innovative solutions to PTSD experienced by veterans returning from their duty. There is very little research on identifying Angry Outburst (AOB) specific pre-crisis data in social media posts, within the veteran community, as a preventative measure against escalated at-risk behavior and negative outcomes. In this paper, we outline a threephase approach to identify veteran AOB specific pre-crisis text data. The key objective of our study is to examine twitter posts to reveal how anger is expressed by both the veteran population and civilians. We identify a lexicon of terms that are more common among veterans with PTSD prone to AOB. Our study emphasizes the difference in language used on social media between both veteran and civilian population. We expand the knowledge base of AOB specific pre-crisis events on social media within veteran communities. This research will contribute to a broader study on building preventative mHealth systems to combat PTSD in veterans.","PeriodicalId":430098,"journal":{"name":"2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)","volume":"265 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121895851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Discrimination of Sugarcane Varieties by Remote Sensing: A Review of Literature 甘蔗品种的遥感识别:文献综述

2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC) Pub Date : 2020-07-01 DOI: 10.1109/COMPSAC48688.2020.00-91

Priscila M. Kai, R. M. Costa, Bruna M. de Oliveira, D. Fernandes, J. P. Félix, Fabrízzio Soares

引用次数: 3

Portfolio Optimization Using a Novel Data-Driven EWMA Covariance Model with Big Data 基于大数据的EWMA协方差模型的投资组合优化

2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC) Pub Date : 2020-07-01 DOI: 10.1109/COMPSAC48688.2020.00-75

Zimo Zhu, A. Thavaneswaran, Alex Paseka, J. Frank, R. Thulasiram

引用次数: 7

Unification of Machine Learning Features 机器学习特征的统一

2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC) Pub Date : 2020-07-01 DOI: 10.1109/COMPSAC48688.2020.00-93

Jayesh Patel

{"title":"Unification of Machine Learning Features","authors":"Jayesh Patel","doi":"10.1109/COMPSAC48688.2020.00-93","DOIUrl":"https://doi.org/10.1109/COMPSAC48688.2020.00-93","url":null,"abstract":"In the Information Age, Machine learning (ML) provides a competitive advantage to any business. Machine learning applications are not limited to driverless cars or online recommendations but are widely used in healthcare, social services, government systems, telecommunications, and so on. As many enterprises are trying to step up machine learning applications, it is critical to have a long-term strategy. Most of the enterprises are not able to truly realize the fruits of ML capabilities due to its complexity. It is easier to access a variety of data today due to data democratization, distributed storage, technological advancements, and big data applications. Despite easier data access and recent advancements in ML, developers still spend most of the time in data cleansing, data preparation, and data modeling for ML applications. These steps are often repeated and result in identical features. As identical features can have inconsistent processing while testing and training, more issues pop up at later stages in ML application development. The unification of ML features is an effective way to address these issues. This paper presents details about numerous methods to achieve ML features unification.","PeriodicalId":430098,"journal":{"name":"2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132505161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Toward a Non-Intrusive, Affordable Platform for Elderly Assistance and Health Monitoring 迈向非侵入性、可负担的老年人援助和健康监测平台

2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC) Pub Date : 2020-07-01 DOI: 10.1109/COMPSAC48688.2020.0-178

Guillaume Gingras, Mehdi Adda, A. Bouzouane

{"title":"Toward a Non-Intrusive, Affordable Platform for Elderly Assistance and Health Monitoring","authors":"Guillaume Gingras, Mehdi Adda, A. Bouzouane","doi":"10.1109/COMPSAC48688.2020.0-178","DOIUrl":"https://doi.org/10.1109/COMPSAC48688.2020.0-178","url":null,"abstract":"Ambient Assisted Living (AAL) in general and Activity Recognition (AR) in particular are active fields of research that aim at assisting people in their Activities of Daily Living (ADL). In recent years, we have seen an increased interest in their applicability to the rural seniors who are slowly losing their autonomy due to aging and chronic diseases. One research venue is to aggregate and seek for correlations between the physiological data that serves to monitor the health of the elderly, their ADLs, their movements and any other data that may be collected about their immediate environment. In this paper, we are tackling the possibility of developing a non-intrusive and affordable system based on embedded health, movement, activity and location sensors. Furthermore, we discuss the main concepts behind the creation of a layered, flexible and highly modular architecture that focuses on how the integration of newly combined sensor data can be achieved. Using a mobile phone application prototype, our work has shown that we can integrate two non-invasive technologies that are not necessarily the newest, but the most affordable, scalable and ready to be deployed in real life settings.","PeriodicalId":430098,"journal":{"name":"2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131980788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

MannAccess: A Novel Low Cost Assistive Educational Tool of Digital Image for Visually Impaired MannAccess:一种新型的低成本视障人士数字图像辅助教育工具

2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC) Pub Date : 2020-07-01 DOI: 10.1109/COMPSAC48688.2020.00023

A. R. Svaigen, L. M. Bine, W. I. S. Bine, L. B. Ruiz

{"title":"MannAccess: A Novel Low Cost Assistive Educational Tool of Digital Image for Visually Impaired","authors":"A. R. Svaigen, L. M. Bine, W. I. S. Bine, L. B. Ruiz","doi":"10.1109/COMPSAC48688.2020.00023","DOIUrl":"https://doi.org/10.1109/COMPSAC48688.2020.00023","url":null,"abstract":"This paper proposes the MannAccess, a novel low cost assistive educational tool of digital image for Visually Impaired (VI), aiding the teaching-learning process of visual content. It consists of an assistive environment composed of interactive software and a refreshable pin display with a novel 3-axis pin activation mechanism, decreasing its development cost substantially. The MannAccess allows the integration with different image recognition methods using a proposed image intermediary representation. In order to accomplish evaluations, we developed a prototype of MannAccess and integrated it with MannAR, an automata image recognition method. We carried out experiments with VI students which pointed out that our tool provided proper accessibility, usability, and user experience. In addition, we accomplished a monetary cost evaluation, indicating that MannAccess had the most accessible monetary cost compared to related devices. In a nutshell, MannAccess showed that it is possible to develop a low-cost assistive technology to aid the VI visual content education, integrating different image recognition methods in a single assistive tool.","PeriodicalId":430098,"journal":{"name":"2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132260256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0