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2020 35th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW)最新文献

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E-Debitum: Managing Software Energy Debt E-Debitum:管理软件能源债务
2020 35th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW) Pub Date : 2020-09-01 DOI: 10.1145/3417113.3422999
Daniel Maia, Marco Couto, J. Saraiva, Rui Pereira
{"title":"E-Debitum: Managing Software Energy Debt","authors":"Daniel Maia, Marco Couto, J. Saraiva, Rui Pereira","doi":"10.1145/3417113.3422999","DOIUrl":"https://doi.org/10.1145/3417113.3422999","url":null,"abstract":"This paper extends previous work on the concept of a new software energy metric: Energy Debt. This metric is a reflection on the implied cost, in terms of energy consumption over time, of choosing an energy flawed software implementation over a more robust and efficient, yet time consuming, approach.This paper presents the implementation a SonarQube tool called E-Debitum which calculates the energy debt of Android applications throughout their versions. This plugin uses a robust, well defined, and extendable smell catalog based on current green software literature, with each smell defining the potential energy savings. To conclude, an experimental validation of E-Debitum was executed on 3 popular Android applications with various releases, showing how their energy debt fluctuated throughout releases.","PeriodicalId":110590,"journal":{"name":"2020 35th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW)","volume":"298 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134452822","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
Energy Wars - Chrome vs. Firefox: Which browser is more energy efficient? 能源大战- Chrome vs. Firefox:哪个浏览器更节能?
2020 35th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW) Pub Date : 2020-09-01 DOI: 10.1145/3417113.3423000
João de Macedo, João Aloísio, Nélson Gonçalves, Rui Pereira, J. Saraiva
{"title":"Energy Wars - Chrome vs. Firefox: Which browser is more energy efficient?","authors":"João de Macedo, João Aloísio, Nélson Gonçalves, Rui Pereira, J. Saraiva","doi":"10.1145/3417113.3423000","DOIUrl":"https://doi.org/10.1145/3417113.3423000","url":null,"abstract":"This paper presents a preliminary study on the energy consumption of two popular web browsers. In order to properly measure the energy consumption of both environments, we simulate the usage of various applications, which the goal to mimic typical user interactions and usage. Our preliminary results show interesting findings based on observation, such as what type of interactions generate high peaks of energy consumption, and which browser is overall the most efficient. Our goal with this preliminary study is to show to users how very different the efficiency of web browsers can be, and may serve with advances in this area of study.","PeriodicalId":110590,"journal":{"name":"2020 35th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115766468","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
Market-level Analysis of Government-backed COVID-19 Contact Tracing Apps 政府支持的COVID-19接触者追踪应用程序的市场层面分析
2020 35th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW) Pub Date : 2020-09-01 DOI: 10.1145/3417113.3422186
Huiyi Wang, Liu Wang, Haoyu Wang
{"title":"Market-level Analysis of Government-backed COVID-19 Contact Tracing Apps","authors":"Huiyi Wang, Liu Wang, Haoyu Wang","doi":"10.1145/3417113.3422186","DOIUrl":"https://doi.org/10.1145/3417113.3422186","url":null,"abstract":"To help curb the spread of the COVID-19 pandemic, governments and public health authorities around the world have launched a number of contact-tracing apps. Although contact tracing apps have received extensive attentions from the research community, no existing work has characterized the users' adoption of contact tracing apps from the app market level. In this work, we perform the first market-level analysis of contact tracing apps. We perform a longitudinal empirical study (over 4 months) of eight government-backed COVID-19 contact tracing apps in iOS app store. We first collect all the daily meta information (e.g., app updates, app rating, app comments, etc.) of these contact tracing apps from their launch to 2020-07-31. Then we characterize them from release practice, app popularity, and mobile users' feedback. Our study reveals various issues related to contact tracing apps from the users' perspective, hoping to help improve the quality of contact tracing apps and thus achieving a high level of adoption in the population.","PeriodicalId":110590,"journal":{"name":"2020 35th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121651287","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: 10
Mapping Textual Feedback to Process Model Elements 将文本反馈映射到流程模型元素
2020 35th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW) Pub Date : 2020-09-01 DOI: 10.1145/3417113.3423376
Sanam Ahmad, Amina Mustansir
{"title":"Mapping Textual Feedback to Process Model Elements","authors":"Sanam Ahmad, Amina Mustansir","doi":"10.1145/3417113.3423376","DOIUrl":"https://doi.org/10.1145/3417113.3423376","url":null,"abstract":"In this paper, we have proposed novel concept of mapping natural language customer feedback text to relevant business process model elements. Customer feedback mapped over business process model will provide augmented business process having customer perception. More specifically, in this work, we have proposed systematic approach for mapping feedback comment to relevant process model elements which comprises a)process model generation, b) preparation of real-world customer feedback corpus, c) BPRI framework based mapping guidelines and d) first novel human annotated customer feedback process model element mapping dataset. We have evaluated the effectiveness of six traditional text similarity measures for automatic mapping of customer feedback to process model elements. Based on the results, we concluded that automatic mapping identification is challenging task as six traditional similarity measures resulted zero recall score.","PeriodicalId":110590,"journal":{"name":"2020 35th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132583678","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
Collective Intelligence for Smarter Neural Program Synthesis 智能神经程序合成的集体智慧
2020 35th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW) Pub Date : 2020-09-01 DOI: 10.1145/3417113.3423371
Daiyan Wang, Wei Dong, Yating Zhang
{"title":"Collective Intelligence for Smarter Neural Program Synthesis","authors":"Daiyan Wang, Wei Dong, Yating Zhang","doi":"10.1145/3417113.3423371","DOIUrl":"https://doi.org/10.1145/3417113.3423371","url":null,"abstract":"We study the problem of automatically generating source code from different forms of user intents. Existing methods treating this problem as a language generating task of the neural network, known as Neural Program Synthesis (NPS). Most of these methods struggle with achieving high generating accuracy, one reason for that is the incompleteness and inaccuracy of user intents for a specific programming task. Inspired by the Swarm Intelligence (SI) and Collective Intelligence (CI) techniques, we proposed an automatic task-specific user intent merging framework combining both the bio-inspired algorithm in SI and CI merged from multiple developers. Empirically, we show that our approach is able to provide more accurate and adequate input for NPS, and our experiment on CI indicates that knowledge merging among isolated software developers in our approach has a significant influence on NPS.","PeriodicalId":110590,"journal":{"name":"2020 35th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127939851","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
Characterizing Co-located Insecure Coding Patterns in Infrastructure as Code Scripts 将基础设施中共存的不安全编码模式描述为代码脚本
2020 35th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW) Pub Date : 2020-09-01 DOI: 10.1145/3417113.3422154
Farzana Ahamed Bhuiyan, A. Rahman
{"title":"Characterizing Co-located Insecure Coding Patterns in Infrastructure as Code Scripts","authors":"Farzana Ahamed Bhuiyan, A. Rahman","doi":"10.1145/3417113.3422154","DOIUrl":"https://doi.org/10.1145/3417113.3422154","url":null,"abstract":"Context: Insecure coding patterns (ICPs), such as hard-coded passwords can be inadvertently introduced in infrastructure as code (IaC) scripts, providing malicious users the opportunity to attack provisioned computing infrastructure. As performing code reviews is resource-intensive, a characterization of co-located ICPs, i.e., ICPs that occur together in a script can help practitioners to prioritize their review efforts and mitigate ICPs in IaC scripts. Objective: The goal of this paper is to help practitioners in prioritizing code review efforts for infrastructure as code (IaC) scripts by conducting an empirical study of co-located insecure coding patterns in IaC scripts. Methodology: We conduct an empirical study with 1613, 2764 and 2845 Puppet scripts respectively collected from three organizations namely, Mozilla, Openstack, and Wikimedia. We apply association rule mining to identify co-located ICPs in IaC scripts. Results: We observe 17.9%, 32.9%, and 26.7% of the scripts to include colocated ICPs respectively, for Mozilla, Openstack, and Wikimedia. The most frequent co-located ICP category is hard-coded secret and suspicious comment. Conclusion: Practitioners can prioritize code review efforts for IaC scripts by reviewing scripts that include co-located ICPs.","PeriodicalId":110590,"journal":{"name":"2020 35th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127306068","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
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