Proceedings of the 8th International Conference on Software and Information Engineering最新文献_第5页

Decoder-Encoder LSTM for Lip Reading 唇读译码编码器LSTM

Proceedings of the 8th International Conference on Software and Information Engineering Pub Date : 2019-04-09 DOI: 10.1145/3328833.3328845

Souheil Fenghour, Daqing Chen, Perry Xiao

引用次数: 7

Brainstorming versus a Scenario-based Approach: Results of an Empirical Study 头脑风暴与基于场景的方法:实证研究的结果

Proceedings of the 8th International Conference on Software and Information Engineering Pub Date : 2019-04-09 DOI: 10.1145/3328833.3328848

Aldrin Jaramillo Franco, Germán Urrego Giraldo

引用次数: 2

Objective and Subjective Metrics Meant for Evaluating Quality of Social Web Applications 用于评估社交网络应用质量的客观和主观度量

Proceedings of the 8th International Conference on Software and Information Engineering Pub Date : 2019-04-09 DOI: 10.1145/3328833.3328852

T. Orehovački

{"title":"Objective and Subjective Metrics Meant for Evaluating Quality of Social Web Applications","authors":"T. Orehovački","doi":"10.1145/3328833.3328852","DOIUrl":"https://doi.org/10.1145/3328833.3328852","url":null,"abstract":"The lifetime of majority social Web applications is very short and it is common that developers change their purpose, abandon or terminate project when they realize that it has not met users' expectations. We strongly believe this is due to the lack of suitable methodologies, models, and measuring instruments meant for monitoring and examining quality of social Web applications during their life cycle. To address this issue, we initiated a research on development of a comprehensive methodology that would enable evaluation of both pragmatic and hedonic facets of quality with respect to social Web applications and facilitate their comparison at all levels in the quality model. The work this paper is dealing with presents one of the essential parts of the aforementioned methodology. After establishing the quality model in the form of the requirement tree, objective and subjective metrics in the form of performance variables were introduced. To wrap things up, we proposed elementary criteria defined as preference scales and on the example of two types of social Web applications we illustrated how elementary preference score related to estimated and perceived facets of quality can be determined.","PeriodicalId":172646,"journal":{"name":"Proceedings of the 8th International Conference on Software and Information Engineering","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124066185","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

Novel Biomarkers from genes in the apoptotic pathway for Prediction of HCC Progression using Association Rule Mining 使用关联规则挖掘预测HCC进展的凋亡通路中基因的新生物标志物

Proceedings of the 8th International Conference on Software and Information Engineering Pub Date : 2019-04-09 DOI: 10.1145/3328833.3328863

Tasneem A. Gameel, S. Rady, Khaled A. ElBahnasy, S. Kamal

{"title":"Novel Biomarkers from genes in the apoptotic pathway for Prediction of HCC Progression using Association Rule Mining","authors":"Tasneem A. Gameel, S. Rady, Khaled A. ElBahnasy, S. Kamal","doi":"10.1145/3328833.3328863","DOIUrl":"https://doi.org/10.1145/3328833.3328863","url":null,"abstract":"Liver cancer, a main cause of death, is extremely difficult to be diagnosed at its early stages. On a positive side, predicting the disease development or progression by analyzing medical data can be helpful for the future early diagnosis and accordingly the increase of the patients' survival. Medical investigation and researchers raise that Single nucleotide polymorphisms in certain apoptosis-related genes are related to the cancer development. The objective of this paper is to find quantitative associations between apoptotic gene-related polymorphisms and the progression level of the liver cancer. To find these associations, Association rule mining is applied using the Frequent Pattern algorithm. An experimental study on an Egyptian cohort of 1246 patients with advanced cirrhosis and liver cancer resulted in associations which can serve as novel biomarkers. It has been found that CDKN2A and HLA-DP genes have relation to the HCC development with a confidence value 0.55, and CDKN1B and Il28b, are related to the liver cancer progression with a confidence value 0.54.","PeriodicalId":172646,"journal":{"name":"Proceedings of the 8th International Conference on Software and Information Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130609634","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: 1

A New Supervised t-SNE with Dissimilarity Measure for Effective Data Visualization and Classification 一种新的具有不相似度量的监督t-SNE，用于有效的数据可视化和分类

Proceedings of the 8th International Conference on Software and Information Engineering Pub Date : 2019-04-09 DOI: 10.1145/3328833.3328853

Laureta Hajderanj, Isakh Weheliye, Daqing Chen

引用次数: 15

Proceedings of the 8th International Conference on Software and Information Engineering 第八届软件与信息工程国际会议论文集

Proceedings of the 8th International Conference on Software and Information Engineering Pub Date : 2019-04-09 DOI: 10.1145/3328833

引用次数: 1

Commit Message Generation from Code Differences using Hidden Markov Models 使用隐马尔可夫模型从代码差异生成提交消息

Proceedings of the 8th International Conference on Software and Information Engineering Pub Date : 2019-04-09 DOI: 10.1145/3328833.3328873

Ahmed Awad, K. Nagaty

{"title":"Commit Message Generation from Code Differences using Hidden Markov Models","authors":"Ahmed Awad, K. Nagaty","doi":"10.1145/3328833.3328873","DOIUrl":"https://doi.org/10.1145/3328833.3328873","url":null,"abstract":"Commit messages are developer-written messages that document code changes. Such change might be adding features, fixing bugs or simply code updates. Although these messages help in understanding the evolution of any software, it is quite often that developers disregard the process of writing these messages, when making a change. Many automated methods have been proposed to generate commit messages. Due to the inability of those techniques to represent higher order understanding of code changes, the quality of these messages in terms of logic and context representation is very low as opposed to developer written messages. To solve this problem, previous work used deep learning models -specifically, sequence-to-sequence models- were used to automate that task. This model delivered promising results on translating code differences to commit messages. However, after the model's performance was thoroughly investigated in previous work. It was found out that code differences corresponding to almost every high quality commit messages generated by the model were very similar to one or more training sample code differences on a token level. Motivated by that observation, a k-nearest neighbor algorithm that outputs the same exact message of the nearest code difference was proposed in previous work. Inspired by the traditional solution to sequence modeling; Hidden Markov Models, we show that HMMs outperforms sequence-to-sequence models without outputting the same exact message of the nearest code diff, our experiments show an enhancement of 4% against sequence to sequence models.","PeriodicalId":172646,"journal":{"name":"Proceedings of the 8th International Conference on Software and Information Engineering","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131841287","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: 1

To apply Data Mining for Classification of Crowd sourced Software Requirements 将数据挖掘应用于众包软件需求的分类

Proceedings of the 8th International Conference on Software and Information Engineering Pub Date : 2019-04-09 DOI: 10.1145/3328833.3328837

Soonh Taj, Q. Arain, Imran Memon, Asma Zubedi

{"title":"To apply Data Mining for Classification of Crowd sourced Software Requirements","authors":"Soonh Taj, Q. Arain, Imran Memon, Asma Zubedi","doi":"10.1145/3328833.3328837","DOIUrl":"https://doi.org/10.1145/3328833.3328837","url":null,"abstract":"Now a day's main focus of developers is to build quality software that works according to customer needs and for this reason it is necessary to gather right requirements as requirement elicitation is the critical step that impacts on the success of software project as misinterpreted requirements leads to the failure of software project. By keeping this in mind a research is carried out on improving requirements elicitation process and automating the process of classifying requirements. In this research, a model is proposed which will help in this scenario for requirements elicitation and requirement classification. This paper presents a model in which crowd sourcing approach is used so that customers, end users, stakeholders, developers and software engineers can make active participation for requirement elicitation process and requirements gathered using crowdsourcing approach are used by model for classification process i.e. classification of requirements into functional and non-functional requirements. For the proof of proposed model a case study is conducted. Results of case study provided the usefulness and efficiency of proposed model for classification of crowd sourced software requirements.","PeriodicalId":172646,"journal":{"name":"Proceedings of the 8th International Conference on Software and Information Engineering","volume":"33 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132791463","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: 17

Implementation of Underwater Communication System powered by Solar Energy Harvesting 太阳能收集水下通信系统的实现

Proceedings of the 8th International Conference on Software and Information Engineering Pub Date : 2019-04-09 DOI: 10.1145/3328833.3328877

S. Nasser, Amr Alashram, A. Hani, Khaled A. Fathy, H. Mahmoud, Dalia Ayman, S. Abdellatif

{"title":"Implementation of Underwater Communication System powered by Solar Energy Harvesting","authors":"S. Nasser, Amr Alashram, A. Hani, Khaled A. Fathy, H. Mahmoud, Dalia Ayman, S. Abdellatif","doi":"10.1145/3328833.3328877","DOIUrl":"https://doi.org/10.1145/3328833.3328877","url":null,"abstract":"Underwater communication (UWC) has become a fast-growing research because two-thirds of earth is covered by water. UWC is a promising field that is expected to revolutionise some applications such as; oil industry, pollution monitoring. Data collection from oceans, seas and rivers can play a vital role in detecting anomalies and discovering new resources. This paper proposes an Underwater Monitoring System (UMS) whereas the system has solar/light energy harvesting equipped with the nodes. These nodes are placed underwater to report the temperature of the water from time to another. UMS is tested on one master and two slave nodes whereas the master node is onshore of the beach, while the other two are submerged underwater. Moreover, the success rate and a number of transmitted packets per second are used to evaluate the system performance. Furthermore, two different types of solar panels are examined namely; amorphous and mono-crystalline. Further, different light sources are considered such as sunlight, LED and Halogen illumination. In addition, UMS is examined in terms of different containers materials as some Radio Frequency (RF) reflection signals might occur.","PeriodicalId":172646,"journal":{"name":"Proceedings of the 8th International Conference on Software and Information Engineering","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132676921","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: 1

Big Data in Healthcare: Are we getting useful insights from this avalanche of data? 医疗保健领域的大数据:我们是否能从海量数据中获得有用的见解?

Proceedings of the 8th International Conference on Software and Information Engineering Pub Date : 2019-04-09 DOI: 10.1145/3328833.3328841

Kayode I. Adenuga, I. Muniru, F. Sadiq, Rahmat O. Adenuga, Muhammad J. Solihudeen

{"title":"Big Data in Healthcare: Are we getting useful insights from this avalanche of data?","authors":"Kayode I. Adenuga, I. Muniru, F. Sadiq, Rahmat O. Adenuga, Muhammad J. Solihudeen","doi":"10.1145/3328833.3328841","DOIUrl":"https://doi.org/10.1145/3328833.3328841","url":null,"abstract":"The benefits of deriving useful insights from avalanche of data available everywhere cannot be overemphasized. Big Data analytics can revolutionize the healthcare industry. It can also ensure functional productivity, help forecast and suggest feedbacks to disease outbreaks, enhance clinical practice, and optimize healthcare expenditure which cuts across all stakeholders in healthcare sectors. Notwithstanding these immense capabilities available in the general application of big data; studies on derivation of useful insights from healthcare data that can enhance medical practice have received little academic attention. Therefore, this study highlighted the possibility of making very insightful healthcare outcomes with big data through a simple classification problem which classifies the tendency of individuals towards specific drugs based on personality measures. Our model though trained with less than 2000 samples and with a simple neural network architecture achieved mean accuracies of 76.87% (sd=0.0097) and 75.86% (sd=0.0123) for the 0.15 and 0.05 validation sets respectively. The relatively acceptable performance recorded by our model despite the small dataset could largely be attributed to number of attributes in our dataset. It is essential to uncover some of the many complexities in our societies in relations to healthcare; and through many machine learning architectures like the neural networks these complex relationships can be discovered","PeriodicalId":172646,"journal":{"name":"Proceedings of the 8th International Conference on Software and Information Engineering","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121280613","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