Proceedings of the 3rd International Conference on Software Engineering and Information Management最新文献

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Modern Code Review Benefits-Primary Findings of A Systematic Literature Review 现代代码审查的好处——系统文献综述的主要发现
Sumaira Nazir, N. Fatima, S. Chuprat
{"title":"Modern Code Review Benefits-Primary Findings of A Systematic Literature Review","authors":"Sumaira Nazir, N. Fatima, S. Chuprat","doi":"10.1145/3378936.3378954","DOIUrl":"https://doi.org/10.1145/3378936.3378954","url":null,"abstract":"Modern Code Review (MCR) an effective quality assurance technique that can ensure software quality and customer satisfaction through the identification of defects, code improvement and accelerating the development process. It is an asynchronous and lightweight review process supported with review tools, for instance, Gerrit. It is a light version of Fagan's inspection process and has developed as a practice for open-source and industrial software development. Researches have been conducted in the context of MCR utilizing various data collection methodologies such as interviews, surveys and comment analysis from review tools. Besides defect detection, other benefits have been reported concerning MCR process adoption, for instance, knowledge sharing, team awareness, collaboration, etc. However, the team members involved in MCR activities are not aware of the benefits of MCR activities as the literature is dispersed. No, systematize study available reporting benefits concerning MCR. As a consequence, there is a lack of actual awareness of the adoption of the MCR process. Therefore, the objective of the study is to systematically analyze and report the benefits of the MCR process. Systematic Literature Review has been utilized to identify MCR benefits. Thematic analysis has been performed to group the identified benefits into the relevant themes. The themes and reported benefits are validated by the experts for their relevancy. The study findings report 54 unique benefits, grouped into 9 themes. This research has implications for the software industry, engineer and researchers. The industry can incorporate the MCR process widely, whereas software engineers being aware of the real benefits of MCR can provide their participation effectively in achieving those benefits in reality. In future, the researchers can extend this study by identifying more benefits in different research settings and by quantifying the reported benefits of MCR.","PeriodicalId":304149,"journal":{"name":"Proceedings of the 3rd International Conference on Software Engineering and Information Management","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129749933","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: 12
Hard and Soft Skills for Scrum Global Software Development Teams Scrum全球软件开发团队的硬技能和软技能
Anita Hidayati, E. K. Budiardjo, B. Purwandari
{"title":"Hard and Soft Skills for Scrum Global Software Development Teams","authors":"Anita Hidayati, E. K. Budiardjo, B. Purwandari","doi":"10.1145/3378936.3378966","DOIUrl":"https://doi.org/10.1145/3378936.3378966","url":null,"abstract":"Scrum is considered as one of the solutions to overcome problems encountered in global software development (GSD). The skills of a Scrum team largely determine the successful implementation of Scrum in a GSD project. The present study aims to identify and rank the essential skills for Scrum GSD teams. First, we identified five hard skills and five soft skills by conducting a literature study and depth interviews with a software engineering expert. Second, these skills were arranged into a questionnaire, which was then distributed to thirty undergraduate students taking software engineering subjects. The students were considered as Scrum beginners in development teams. The questionnaire data were subsequently analyzed by ranking the importance of the skills. Next, the rankings were validated in a focus group discussion (FGD) with four practitioners, two academics, one policymaker, and one representative of a relevant professional association. All members of the FGD had at least five years of experience in Scrum GSD. In the following stage, frequency analysis was employed to achieve a consensus among the experts. After that, a round table discussion was conducted to confirm the consensus. The results show that programming is the most important hard skill, while interpersonal and communication are the most important soft skills. Database expertise and leadership were identified as the least important hard and soft skills, respectively. Furthermore, the rank of these skills by importance is aligned with the nature of Scrum and GSD. Our findings can be used as a foundation to construct competencies in Scrum GSD teams.","PeriodicalId":304149,"journal":{"name":"Proceedings of the 3rd International Conference on Software Engineering and Information Management","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127431717","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: 23
Automated Detection of Social Roles in Online Communities using Deep Learning 使用深度学习的在线社区社会角色自动检测
Piyumini Wijenayake, Daswin De Silva, D. Alahakoon, S. Kirigeeganage
{"title":"Automated Detection of Social Roles in Online Communities using Deep Learning","authors":"Piyumini Wijenayake, Daswin De Silva, D. Alahakoon, S. Kirigeeganage","doi":"10.1145/3378936.3378973","DOIUrl":"https://doi.org/10.1145/3378936.3378973","url":null,"abstract":"Online communities are an increasingly important aspect in the digital age, for business organizations, diverse industry sectors and overall, in modern society. The social role of each end-user, influencers to followers, and content providers to receivers is a primary consideration when evaluating the purpose and contribution of any online community. Most existing research on the detection of social roles in online communities is based on manual observations and analysis. This paper introduces a technique for automating the detection and extraction of social roles from online communities. Given the large volume of text and value of content, it is no longer viable to manually encode and detect social roles and contributions. The machine learning approach is based on a deep recurrent neural network and a word embedding model. A dataset consisting of over 1.2 million textual posts extracted from an online community on higher education in Australia was used to demonstrate the technique. This technique can be applied to any online community to automatically identify social roles, their influence and interactions.","PeriodicalId":304149,"journal":{"name":"Proceedings of the 3rd International Conference on Software Engineering and Information Management","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124429935","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
Big Data and its Effect on the Music Industry 大数据及其对音乐产业的影响
O. Al-Hujran, Ahmad Alikaj, U. Durrani, Nidal Al-Dmour
{"title":"Big Data and its Effect on the Music Industry","authors":"O. Al-Hujran, Ahmad Alikaj, U. Durrani, Nidal Al-Dmour","doi":"10.1145/3378936.3378957","DOIUrl":"https://doi.org/10.1145/3378936.3378957","url":null,"abstract":"This research discusses the effect of big data and Internet technologies on the music industry. Specifically, this paper addresses two research questions; (1) how do modern businesses in the music industry implement the use of Internet technologies and big data to ensure their success in the market, and (2) what are the advantages and drawbacks of implementing digital business models in the music industry? To answer the research questions, two real-life cases (i.e. Shazam and Spotify) were analyzed to show how modern businesses in the music industry implement big data and Internet technologies to ensure their success in the market. Furthermore, previous literature and secondary resources were used to explain the development of traditional business models into digital business models in the music industry. In addition to discussing the benefits and drawbacks of implementing the modern digital business model.","PeriodicalId":304149,"journal":{"name":"Proceedings of the 3rd International Conference on Software Engineering and Information Management","volume":"375 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127742685","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: 8
Marker less Hand Gesture Tracking using Smart Phones 使用智能手机进行无标记手势跟踪
Ronie C. Bituin, Elijah Christian Bautista
{"title":"Marker less Hand Gesture Tracking using Smart Phones","authors":"Ronie C. Bituin, Elijah Christian Bautista","doi":"10.1145/3378936.3378937","DOIUrl":"https://doi.org/10.1145/3378936.3378937","url":null,"abstract":"Most of today's small developer forms of mixed reality involves the use of markers to anchor virtual objects in the real world. However, the exponential increase of today's modern hardware in computing power, which can be further increased thanks to the advent of cloud computing, has led to new possibilities not realized before. The researchers' interest then for this study is to harness this increased computing power in knowing how the digital medium could be used to immerse one's self into a completely new environment such as simulated realities as another research into the field of synthesis of congruent technological paradigms. In this paper, the researchers demonstrate how modern tools can fuel a mobile phone such that it can perform a marker-less tracking (QR and AR Code free) and mimic hand gestures similar to what Microsoft Kinect© and Leap Motion© can do while only relying on the mobile phone's camera and presented as under the domain of Mixed Reality, which is a combination of Augmented and Virtual Reality. Also discussed are the improvements and benefits of this new method compared to other developments in this area.","PeriodicalId":304149,"journal":{"name":"Proceedings of the 3rd International Conference on Software Engineering and Information Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128963070","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
Profiling the Natural Environment Using Acoustics: Long-Term Environment Monitoring through Cluster Structure 用声学描绘自然环境:通过集群结构进行长期环境监测
Adikarige Madanayake, M. Sankupellay, Ickjai Lee
{"title":"Profiling the Natural Environment Using Acoustics: Long-Term Environment Monitoring through Cluster Structure","authors":"Adikarige Madanayake, M. Sankupellay, Ickjai Lee","doi":"10.1145/3378936.3378946","DOIUrl":"https://doi.org/10.1145/3378936.3378946","url":null,"abstract":"Eco-acoustic recordings of the natural environment are becoming an increasingly important technique for ecologists to monitor and interpret long-term terrestrial ecosystems. Visualisation has been a popular approach to analyse short-term eco-acoustic recordings, but it is practically not feasible for long-term monitoring. Unsupervised machine learning could be a solid candidate to find clustering structures within this long-term eco-acoustic data, and this paper investigates if unsupervised machine learning is able to find any clustering structural difference around an important environmental event, in particular with k-means clustering. Experimental results reveal that there are clear clustering structural changes in general geophony and biophony sounds before and after a bushfire in our study region which indicates that clustering approaches could be used to identify important environmental events.","PeriodicalId":304149,"journal":{"name":"Proceedings of the 3rd International Conference on Software Engineering and Information Management","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128584001","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
Database Concept for Transcription of Registry Records into Digital Form 将注册记录转录为数字形式的数据库概念
R. Kocí, Jaroslav Rozman, F. Zboril
{"title":"Database Concept for Transcription of Registry Records into Digital Form","authors":"R. Kocí, Jaroslav Rozman, F. Zboril","doi":"10.1145/3378936.3378974","DOIUrl":"https://doi.org/10.1145/3378936.3378974","url":null,"abstract":"This paper describes our design of database for crowdsourcing project designed to transcribe data from old parish book registers -- baptisms, weddings and burials. The information about names, occupations, addresses or personal relationships will be stored in this database. It is based on information extracted from real records from various parishes and times, which was done by professional historians. The nature of data and the requirement to transcribe it as faithfully as possible entails several problems. These problems and limitations will be discussed and the resulting database structure will be presented.","PeriodicalId":304149,"journal":{"name":"Proceedings of the 3rd International Conference on Software Engineering and Information Management","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117189097","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
WSN Signal Reconstruction Based on Unknown Sparse Compressed Sensing 基于未知稀疏压缩感知的WSN信号重构
Yanli Wang, Xuewen Liu, Mingliang Li, Xueqing Li
{"title":"WSN Signal Reconstruction Based on Unknown Sparse Compressed Sensing","authors":"Yanli Wang, Xuewen Liu, Mingliang Li, Xueqing Li","doi":"10.1145/3378936.3378962","DOIUrl":"https://doi.org/10.1145/3378936.3378962","url":null,"abstract":"For the signal reconstruction problem of unknown signal sparsity in compressed sensing, this paper proposes a Sparsity Adaptive Stagewise Orthogonal Matching Pursuit algorithm (SAOMP), which realizes the reconstructed signal under the condition of unknown signal sparsity. The algorithm combines the idea of adaptive thinking, variable step size iteration and piecewise orthogonal thinking. Under the condition of unknown signal sparsity, the number of supporting set atoms is adaptively selected, and finally the signal reconstruction is realized. The experimental results show that the proposed algorithm is better than the Orthogonal Matching Pursuit algorithm, the Regularized Orthogonal Matching Pursuit algorithm and the Stagewise Orthogonal Matching Pursuit algorithm for the 128-bit observation set and the 256-bit length.","PeriodicalId":304149,"journal":{"name":"Proceedings of the 3rd International Conference on Software Engineering and Information Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130368173","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
Dynamic Image Quality Analysis and Comparison between 6MHz and 8MHz Bandwidths for DVB-C Digital TV System DVB-C数字电视系统6MHz与8MHz带宽动态图像质量分析与比较
Chin-Ta Chen, Chih-Chung Yang
{"title":"Dynamic Image Quality Analysis and Comparison between 6MHz and 8MHz Bandwidths for DVB-C Digital TV System","authors":"Chin-Ta Chen, Chih-Chung Yang","doi":"10.1145/3378936.3378942","DOIUrl":"https://doi.org/10.1145/3378936.3378942","url":null,"abstract":"The object of this research is to analyze and compare the dynamic image quality between the DVB-C digital TV systems with bandwidth of 8 MHz and 6 MHz, in Europe and in Taiwan, respectively. Under the RF output level from -50dBm to-79dBm, with carrier modulation of either 64QAM or 256QAM, we simulate the dynamic image transmission over the digital TV system with standard measuring equipment on the following criteria, namely, the picture quality rating (PQR), the differential mean opinion score (DMOS), and the peak signal to noise ratio (PSNR). The standard measuring equipment, which is the property of the Telecommunication Technical Center (TTC), is composed of the instruments from the Tektronix and the Rode & Swazi (R & S). Based on our experiment setup, under the 64QAM carrier modulation at -78dBm level, the scores for the above three criteria, i.e., PQR, DMOS, and PSNR, are 4, 11, and 33, respectively for the European DTV system. Under the 64QAM carrier modulation at -72dBm level, the scores for the above three criteria, are 5, 14, and 38, respectively for the Taiwan DTV system. Under the 256QAM carrier modulation at -73dBm level, there is observable mosaic on the image for the European system. However, under the 256QAM carrier modulation at -68dBm level, there is serious mosaic on the image for the Taiwan system.","PeriodicalId":304149,"journal":{"name":"Proceedings of the 3rd International Conference on Software Engineering and Information Management","volume":"204 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116511002","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
An Integrated of Fuzzy Rule Base System and TOPSIS Technique for Multi-Attribute Decision Making 多属性决策中模糊规则库系统与TOPSIS技术的集成
S. Bahrami, R. Yaakob, A. Azman, R. Atan
{"title":"An Integrated of Fuzzy Rule Base System and TOPSIS Technique for Multi-Attribute Decision Making","authors":"S. Bahrami, R. Yaakob, A. Azman, R. Atan","doi":"10.1145/3378936.3378940","DOIUrl":"https://doi.org/10.1145/3378936.3378940","url":null,"abstract":"Multi-attribute decision making (MADM) is one of important issues in make-decision have been conducted many research in recent years. Indeed, the main objective of this research is developing an extended Fuzzy rule based method based on TOPSIS conventional technique. This paper aids to solve a MADM problem by means of fuzzy environment under a group decision making. To do so, fuzzy rule based system (FRBS) is used to obtain final score of alternatives toward each individual expert's opinions. And also, TOPSIS technique is used in order to final aggregation of expert's results and makes a unique decision. This study makes an investigation on data about a supplier selection problem (SSP) as a case-based problem has been taken from a valid research. Robustness and validity of the proposed method is indicated with a numerical example, and compare the output of results with another validated approach.","PeriodicalId":304149,"journal":{"name":"Proceedings of the 3rd International Conference on Software Engineering and Information Management","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129940511","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
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