2020 35th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW)最新文献_第2页

Energy Efficiency in Robotics Software: A Systematic Literature Review 机器人软件的能源效率:系统文献综述

2020 35th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW) Pub Date : 2020-09-01 DOI: 10.1145/3417113.3422997

Stan Swanborn, I. Malavolta

{"title":"Energy Efficiency in Robotics Software: A Systematic Literature Review","authors":"Stan Swanborn, I. Malavolta","doi":"10.1145/3417113.3422997","DOIUrl":"https://doi.org/10.1145/3417113.3422997","url":null,"abstract":"Nowadays, robots are widely used in many areas of our lifes, such as autonomous storage, self-driving vehicles, drones, industrial automation, etc. Energy is a critical factor for robotic systems, especially for mobile robots where energy is a finite resource (e.g., surveillance autonomous rovers). Since software is becoming the central focus of modern robotic systems, it is important to understand how it influences the energy consumption of the entire system. However, there is no systematic study of the state of the art in energy efficiency of robotics software that could guide research or practitioners in finding solutions and tools to develop robotic systems with energy efficiency in mind. The goal of this paper is to present a review of existing research on energy efficiency in robotics software. Specifically, we investigate on (i) the used metrics for energy efficiency, (ii) the application domains within the robotics area covered by research on energy efficiency, (iii) the identified major energy consumers within a robotic system, (iv) how existing approaches are evaluated, (v) the used energy models, (vi) the techniques supporting the development of energy-efficient robotics software, and (vii) which quality attributes tend to be traded off when dealing with energy efficiency in robotics. We also provide a replication package to assess, extend, and/or replicate the study. The results of this work can guide researchers and practitioners in robotics and software engineering in better reasoning and contributing to energy-efficient robotics software.","PeriodicalId":110590,"journal":{"name":"2020 35th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW)","volume":"10 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":"122122036","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: 6

A Framework for the Automatic Execution of Measurement-based Experiments on Android Devices 基于测量的实验在Android设备上自动执行的框架

2020 35th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW) Pub Date : 2020-09-01 DOI: 10.1145/3417113.3422184

I. Malavolta, E. M. Grua, Cheng-Yu Lam, R. D. Vries, Franky Tan, Eric Zielinski, Michael Peters, Luuk Kaandorp

{"title":"A Framework for the Automatic Execution of Measurement-based Experiments on Android Devices","authors":"I. Malavolta, E. M. Grua, Cheng-Yu Lam, R. D. Vries, Franky Tan, Eric Zielinski, Michael Peters, Luuk Kaandorp","doi":"10.1145/3417113.3422184","DOIUrl":"https://doi.org/10.1145/3417113.3422184","url":null,"abstract":"Conducting measurement-based experiments is fundamental for assessing the quality of Android apps in terms of, e.g., energy consumption, CPU, and memory usage. However, orchestrating such experiments is not trivial as it requires large boilerplate code, careful setup of measurement tools, and the adoption of various empirical best practices scattered across the literature. All together, those factors are slowing down the scientific advancement and harming experiments' replicability in the mobile software engineering area. In this paper we present Android Runner (AR), a framework for automatically executing measurement-based experiments on native and web apps running on Android devices. In AR, an experiment is defined once in a descriptive fashion, and then its execution is fully automatic, customizable, and replicable. AR is implemented in Python and it can be extended with third-party profilers. AR has been used in more than 25 scientific studies primarily targeting performance and energy efficiency.","PeriodicalId":110590,"journal":{"name":"2020 35th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW)","volume":"60 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":"126922213","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: 22

Enforcing Green Code With Android Lint 使用Android Lint强制执行绿色代码

2020 35th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW) Pub Date : 2020-09-01 DOI: 10.1145/3417113.3422188

Olivier Le Goaër

引用次数: 10

NLP-based Enhancement of Information Security in ITO - A Diffusion of Innovation Theory perspective 基于nlp的ITO信息安全提升——创新扩散理论视角

2020 35th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW) Pub Date : 2020-09-01 DOI: 10.1145/3417113.3423373

Baber Majid Bhatti, Sameera Mubarak, S. Nagalingam

{"title":"NLP-based Enhancement of Information Security in ITO - A Diffusion of Innovation Theory perspective","authors":"Baber Majid Bhatti, Sameera Mubarak, S. Nagalingam","doi":"10.1145/3417113.3423373","DOIUrl":"https://doi.org/10.1145/3417113.3423373","url":null,"abstract":"Information technology outsourcing (ITO) has grown significantly in recent decades and is now over a USD trillion-dollar industry. Service provider organisations are striving to improve the efficiencies of their service deliveries. Natural language processing (NLP) provides an opportunity to bring efficiencies through automation in understanding and processing information. Since information security risk management (ISRM) in ITO is a growing concern of both, client and service provider organisations, they are adopting to improve ISRM in ITO using NLP. This paper explores those ISRM improvement scenarios. It also investigates the information security risks (ISRs) that result from the use of NLP in ITO and proposes strategies to manage those ISRs. To gain insights into the problem, a qualitative research approach is followed using the case study method. Six semi-structured interviews were conducted from participants in three organisations in the ICT industry, engaged in an ITO relationship. To the best of our knowledge, it is the first study to investigate the use of NLP for enhancing ISRM in ITO.","PeriodicalId":110590,"journal":{"name":"2020 35th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW)","volume":"16 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":"125120441","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

Predicting Software Design Patterns from Text using Neural Embedding 利用神经嵌入从文本中预测软件设计模式

2020 35th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW) Pub Date : 2020-09-01 DOI: 10.1145/3417113.3423372

Laksri Wijerathna, A. Aleti

{"title":"Predicting Software Design Patterns from Text using Neural Embedding","authors":"Laksri Wijerathna, A. Aleti","doi":"10.1145/3417113.3423372","DOIUrl":"https://doi.org/10.1145/3417113.3423372","url":null,"abstract":"Software design patterns are solutions to common software problems that are proven to work adequately in particular scenarios. Deciding which design pattern to use for a given software problem often requires practical knowledge acquired with experience in a similar domain and can be highly subjective and error-prone. Further, for novice programmers, an automated approach would be of tremendous help as it would provide practical knowledge required for deciding which design pattern to use for a particular software problem. The majority of research in software design pattern prediction involves using software structure and features in determining which design pattern to implement. However, there are circumstances where software engineers would prefer to know which design pattern to be used by looking at the design problem during or before the implementation phase. Existing design pattern prediction tools cannot be utilized in this scenario due to the absence of code and class structures. To address this issue, this paper proposes a new approach that analyzes the context of the software problem from text and predicts a suitable design pattern for the given problem context using feature learning, neural embedding, and classification. We evaluate our approach on a case study from Stack Overflow with more than 66,000 questions that discuss problems and consequences related to 23 design patterns. Results show that our approach can predict design patterns from the text with 82% overall accuracy.","PeriodicalId":110590,"journal":{"name":"2020 35th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW)","volume":"109 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":"116512020","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

Sustainability in Migrating Workloads to Public Clouds 将工作负载迁移到公共云的可持续性

2020 35th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW) Pub Date : 2020-09-01 DOI: 10.1145/3417113.3423001

Priya Pathania, Raj Mithani

{"title":"Sustainability in Migrating Workloads to Public Clouds","authors":"Priya Pathania, Raj Mithani","doi":"10.1145/3417113.3423001","DOIUrl":"https://doi.org/10.1145/3417113.3423001","url":null,"abstract":"In recent times, there has been a considerable increase in Cloud-Based applications and infrastructure. This has led to quicker innovations, agile businesses, availability of new services over the internet, improved collaboration, and better security. With the growth of new technologies like blockchain, quantum computing, mobility-focused applications, and edge computing, there has been an increased interest in adopting cloud services. In this paper, we highlight the different sustainability metrics and benefits while migrating workloads from the on-prem data center to the public clouds. Also, the clouds are elastic, scalable, cost-efficient, robust, and overall a better alternative to host the client applications and services. We present how the major Cloud Service Providers (CSPs) are continuously working on improving their infrastructure for a more energy efficient cloud. But with so many factors like the cost of cloud services, the location of the data center to name a few, it becomes quite a tedious task for the clients to select a cloud service provider when moving from their on-premise data center(s). Hence, we also briefly propose our solution that we are currently working on. The final goal is to have a cross-platform advisory that based on a wide-range of client-based inputs and a rich repository of current energy efficient clouds and their sustainability metrics, aims to provide them a detailed recommendation about their preferred cloud service provider. In case the client does not provide any such preference, the advisory should also recommend an ideal cloud service provider for their particular workload. This suggested action will be able to fulfill the client's constraints as well as provide them an energy efficient cloud along with a sustainability score. This score is indicative of how much improvement in the energy consumed and carbon footprint can be achieved through this migration to the suggested cloud.","PeriodicalId":110590,"journal":{"name":"2020 35th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW)","volume":"94 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":"122723012","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

Emotion Detection in Roman Urdu Text using Machine Learning 使用机器学习的罗马乌尔都语文本情感检测

2020 35th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW) Pub Date : 2020-09-01 DOI: 10.1145/3417113.3423375

Adil Majeed, H. Mujtaba, M. O. Beg

{"title":"Emotion Detection in Roman Urdu Text using Machine Learning","authors":"Adil Majeed, H. Mujtaba, M. O. Beg","doi":"10.1145/3417113.3423375","DOIUrl":"https://doi.org/10.1145/3417113.3423375","url":null,"abstract":"Emotion detection is playing a very important role in our life. People express their emotions in different ways i.e face expression, gestures, speech, and text. This research focuses on detecting emotions from the Roman Urdu text. Previously, A lot of work has been done on different languages for emotion detection but there is limited work done in Roman Urdu. Therefore, there is a need to explore Roman Urdu as it is the most widely used language on social media platforms for communication. One major issue for the Roman Urdu is the absence of benchmark corpora for emotion detection from text because language assets are essential for different natural language processing (NLP) tasks. There are many useful applications of the emotional analysis of a text such as improving the quality of products, dialog systems, investment trends, mental health. In this research, to focus on the emotional polarity of the Roman Urdu sentence we develop a comprehensive corpus of 18k sentences that are gathered from different domains and annotate it with six different classes. We applied different baseline algorithms like KNN, Decision tree, SVM, and Random Forest on our corpus. After experimentation and evaluation, the results showed that the SVM model achieves a better F-measure score.","PeriodicalId":110590,"journal":{"name":"2020 35th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW)","volume":"48 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":"128812098","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: 36

Vulnerability Discovery Strategies Used in Software Projects 软件项目中的漏洞发现策略

2020 35th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW) Pub Date : 2020-09-01 DOI: 10.1145/3417113.3422153

Farzana Ahamed Bhuiyan, A. Rahman, P. Morrison

{"title":"Vulnerability Discovery Strategies Used in Software Projects","authors":"Farzana Ahamed Bhuiyan, A. Rahman, P. Morrison","doi":"10.1145/3417113.3422153","DOIUrl":"https://doi.org/10.1145/3417113.3422153","url":null,"abstract":"Malicious users can exploit undiscovered software vulnerabilities i.e., undiscovered weaknesses in software, to cause serious consequences, such as large-scale data breaches. A systematic approach that synthesizes strategies used by security testers can aid practitioners to identify latent vulnerabilities. The goal of this paper is to help practitioners identify software vulnerabilities by categorizing vulnerability discovery strategies using open source software bug reports. We categorize vulnerability discovery strategies by applying qualitative analysis on 312 OSS bug reports. Next, we quantify the frequency and evolution of the identified strategies by analyzing 1,632 OSS bug reports collected from five software projects spanning across 2009 to 2019. The five software projects are Chrome, Eclipse, Mozilla, OpenStack, and PHP. We identify four vulnerability discovery strategies: diagnostics, malicious payload construction, misconfiguration, and pernicious execution. For Eclipse and OpenStack, the most frequently used strategy is diagnostics, where security testers inspect source code and build/debug logs. For three web-related software projects namely, Chrome, Mozilla, and PHP, the most frequently occurring strategy is malicious payload construction i.e., creating malicious files, such as malicious certificates and malicious videos.","PeriodicalId":110590,"journal":{"name":"2020 35th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW)","volume":"8 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":"129077796","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

Towards Better Understanding of Agile Teams through Behavior Change Models 通过行为改变模型更好地理解敏捷团队

2020 35th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW) Pub Date : 2020-09-01 DOI: 10.1145/3417113.3422148

Kashumi Madampe, Rashina Hoda, J. Grundy

引用次数: 3

Gesture Driven Smart Home Solution for Bedridden People 面向卧床病人的手势驱动智能家居解决方案

2020 35th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW) Pub Date : 2020-09-01 DOI: 10.1145/3417113.3422998

N. Jayaweera, Binura Gamage, Mihiri Samaraweera, Sachintha Liyanage, S. Lokuliyana, Thilmi Kuruppu

{"title":"Gesture Driven Smart Home Solution for Bedridden People","authors":"N. Jayaweera, Binura Gamage, Mihiri Samaraweera, Sachintha Liyanage, S. Lokuliyana, Thilmi Kuruppu","doi":"10.1145/3417113.3422998","DOIUrl":"https://doi.org/10.1145/3417113.3422998","url":null,"abstract":"Conversion of ordinary houses into smart homes has been a rising trend for past years. Smart house development is based on the enhancement of the quality of the daily activities of normal people. But many smart homes have not been designed in a way that is user friendly for differently-abled people such as immobile, bedridden (disabled people with at least one hand movable). Due to negligence and forgetfulness, there are cases where the electrical devices are left switched on, regardless of any necessity. It is one of the most occurred examples of domestic energy wastage. To overcome those challenges, this research represents the improved smart home design: MobiGO that uses cameras to capture gestures, smart sockets to deliver gesture-driven outputs to home appliances, etc. The camera captures the gestures done by the user and the system processes those images through advanced gesture recognition and image processing technologies. The commands relevant to the gesture are sent to the specific appliance through a specific IoT device attached to them. The basic literature survey content, which contains technical words, is analyzed using Deep Learning, Convolutional Neural Network (CNN), Image Processing, Gesture recognition, smart homes, IoT. Finally, the authors conclude that the MobiGO solution proposes a smart home system that is safer and easier for people with disabilities.","PeriodicalId":110590,"journal":{"name":"2020 35th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW)","volume":"68 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":"121264703","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