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Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops最新文献

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Experiences Building an Answer Bot for Gitter 为Gitter构建回答机器人的经验
Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops Pub Date : 2020-06-27 DOI: 10.1145/3387940.3391505
Ricardo Romero, Esteban Parra, S. Haiduc
{"title":"Experiences Building an Answer Bot for Gitter","authors":"Ricardo Romero, Esteban Parra, S. Haiduc","doi":"10.1145/3387940.3391505","DOIUrl":"https://doi.org/10.1145/3387940.3391505","url":null,"abstract":"Software developers use modern chat platforms to communicate about the status of a project and to coordinate development and release efforts, among other things. Developers also use chat platforms to ask technical questions to other developers. While some questions are project-specific and require an experienced developer familiar with the system to answer, many questions are rather general and may have been already answered by other developers on platforms such as the Q&A site StackOverflow. In this paper, we present GitterAns, a bot that can automatically detect when a developer asks a technical question in a chat and leverages the information present in Q&A forums to provide the developer with possible answers to their question. The results of a preliminary study indicate promising results, with GitterAns achieving an accuracy of 0.78 in identifying technical questions.","PeriodicalId":309659,"journal":{"name":"Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129562710","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: 14
MSABot
Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops Pub Date : 2020-06-27 DOI: 10.1145/3387940.3391501
Chun-Ting Lin, Shang-Pin Ma, Yu-Wen Huang
{"title":"MSABot","authors":"Chun-Ting Lin, Shang-Pin Ma, Yu-Wen Huang","doi":"10.1145/3387940.3391501","DOIUrl":"https://doi.org/10.1145/3387940.3391501","url":null,"abstract":"Microservice architecture (MSA) has become a popular architectural style. The main advantages of MSA include modularization and scalability. However, the development and maintenance of Microservice-based systems are more complex than traditional monolithic architecture. This research plans to develop a novel Chatbot system, referred to as MSABot (Microservice Architecture Bot), to assist in the development and operation of Microservice-based systems by using Chatbots. MSABot integrates a variety of tools to allow users to understand the current status of Microservice development and operation, and to push the information of system errors or risks to users. For the operators who take over the maintenance of Microservices, MSABot also allows them to quickly understand the overall service architecture and the operation status of each service. Besides, we invited multiple users who are familiar with the technology of Microservice or ChapOps to evaluate MSABot. The results of the survey show that more than 90% of the respondents believe that MSABot can adequately support the development and maintenance of Microservice-based systems.","PeriodicalId":309659,"journal":{"name":"Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125556997","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
Generating API Test Data Using Deep Reinforcement Learning 使用深度强化学习生成API测试数据
Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops Pub Date : 2020-06-27 DOI: 10.1145/3387940.3392214
Steyn Huurman, Xiaoying Bai, Thomas Hirtz
{"title":"Generating API Test Data Using Deep Reinforcement Learning","authors":"Steyn Huurman, Xiaoying Bai, Thomas Hirtz","doi":"10.1145/3387940.3392214","DOIUrl":"https://doi.org/10.1145/3387940.3392214","url":null,"abstract":"Testing is critical to ensure the quality of widely-used web APIs. Automatic test data generation can help to reduce cost and improve overall effectiveness. This is commonly accomplished by using the powerful concept of search-based software testing (SBST). However, with web APIs growing larger and larger, SBST techniques face scalability challenges. This paper introduces a novel SBST based approach for generating API test data using deep reinforcement learning (DRL) as the search algorithm. By exploring the benefits of DRL in the context of scalable API test data generation, we show its potential as alternative to traditional search algorithms.","PeriodicalId":309659,"journal":{"name":"Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114304300","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
Domain-Based Fuzzing for Supervised Learning of Anomaly Detection in Cyber-Physical Systems 基于域的模糊技术在网络物理系统异常检测中的监督学习
Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops Pub Date : 2020-06-27 DOI: 10.1145/3387940.3391486
Herman Wijaya, M. Aniche, A. Mathur
{"title":"Domain-Based Fuzzing for Supervised Learning of Anomaly Detection in Cyber-Physical Systems","authors":"Herman Wijaya, M. Aniche, A. Mathur","doi":"10.1145/3387940.3391486","DOIUrl":"https://doi.org/10.1145/3387940.3391486","url":null,"abstract":"A novel approach is proposed for constructing models of anomaly detectors using supervised learning from the traces of normal and abnormal operations of an Industrial Control System (ICS). Such detectors are of value in detecting process anomalies in complex critical infrastructure such as power generation and water treatment systems. The traces are obtained by systematically \"fuzzing\", i.e., manipulating the sensor readings and actuator actions in accordance with the boundaries/partitions that define the system's state. The proposed approach is tested in a Secure Water Treatment (SWaT) testbed -- a replica of a real-world water purification plant, located at the Singapore University of Technology and Design. Multiple supervised classifiers are trained using the traces obtained from SWaT. The efficacy of the proposed approach is demonstrated through empirical evaluation of the supervised classifiers under various performance metrics. Lastly, it is shown that the supervised approach results in significantly lower false positive rates as compared to the unsupervised ones.","PeriodicalId":309659,"journal":{"name":"Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125826528","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
Conversational Bot for Newcomers Onboarding to Open Source Projects 会话机器人新手入门到开源项目
Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops Pub Date : 2020-06-27 DOI: 10.1145/3387940.3391534
James Dominic, Jada Houser, Igor Steinmacher, Charles Ritter, Paige Rodeghero
{"title":"Conversational Bot for Newcomers Onboarding to Open Source Projects","authors":"James Dominic, Jada Houser, Igor Steinmacher, Charles Ritter, Paige Rodeghero","doi":"10.1145/3387940.3391534","DOIUrl":"https://doi.org/10.1145/3387940.3391534","url":null,"abstract":"This paper targets the problems newcomers face when onboarding to open source projects and the low retention rate of newcomers. Open source software projects are becoming increasingly more popular. Many major companies have started building open source software. Unfortunately, many newcomers only commit once to an open source project before moving on to another project. Even worse, many novices struggle with joining open source communities and end up leaving quickly, sometimes before their first successful contribution. In this paper, we propose a conversational bot that would recommend projects to newcomers and assist in the onboarding to the open source community. The bot would be able to provide helpful resources, such as Stack Overflow related content. It would also be able to recommend human mentors. We believe that this bot would improve newcomers' experience by providing support not only during their first contribution, but by acting as an agent to engage them to the project.","PeriodicalId":309659,"journal":{"name":"Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126091881","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
How Online Forums Complement Task Documentation in Software Crowdsourcing 在线论坛如何补充软件众包中的任务文档
Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops Pub Date : 2020-06-27 DOI: 10.1145/3387940.3391497
L. Machado, Igor Steinmacher, S. Marczak, C. D. Souza
{"title":"How Online Forums Complement Task Documentation in Software Crowdsourcing","authors":"L. Machado, Igor Steinmacher, S. Marczak, C. D. Souza","doi":"10.1145/3387940.3391497","DOIUrl":"https://doi.org/10.1145/3387940.3391497","url":null,"abstract":"An issue in software crowdsourcing is the quality of the task documentation and the high number of registered crowd workers to solve tasks but few submitted solutions only. This happens because uncommunicated or misunderstood requirements can lead crowd workers to deliver a solution that does not meet the customers' requirements or, worse, to give up submitting a solution. In this paper, we present an empirical study in which we analyzed task documentation and online forums messages associated with 25 Software Crowdsourcing (SW CS) challenges. The findings corroborate that weak documentation is a challenge in SW CS. Meanwhile, online forums allow crowd workers to gather additional technical and operational information that is not present in the official task documentation. We provide a stepping stone towards understanding the interplay between requirements and communication, to make it possible to improve SW CS development processes, practices, and tools.","PeriodicalId":309659,"journal":{"name":"Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops","volume":"7 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127523723","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
Why Did your PR Get Rejected?: Defining Guidelines for Avoiding PR Rejection in Open Source Projects 为什么你的PR被拒绝了?:定义在开源项目中避免PR拒绝的指导方针
Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops Pub Date : 2020-06-27 DOI: 10.1145/3387940.3392235
N. Papadakis, Ayan Patel, Tanay Gottigundala, Alexandra Garro, Xavier Graham, Bruno Carreiro da Silva
{"title":"Why Did your PR Get Rejected?: Defining Guidelines for Avoiding PR Rejection in Open Source Projects","authors":"N. Papadakis, Ayan Patel, Tanay Gottigundala, Alexandra Garro, Xavier Graham, Bruno Carreiro da Silva","doi":"10.1145/3387940.3392235","DOIUrl":"https://doi.org/10.1145/3387940.3392235","url":null,"abstract":"Pull requests are a commonly used method of collaboration for software developers working on open source projects. In this paper, we analyze the most common reasons, sentiment polarity, and interaction length for pull request rejections, as well as the correlations between these factors in a large open-source project called Scapy. We manually analyzed 231 rejected pull requests and systematically mapped sentiment and categorized rejection reasons. We found that the most frequent reasons for pull request rejection refer to source code management issues, incomplete comprehension of project functionalities, poor understanding of what reviewers expect, and misunderstanding the project guidelines (often due to a lack of complete/updated instructions and communication gaps). This work is an ongoing effort toward establishing practical guidelines for globally distributed contributors in open-source projects to minimize pull request rejection and maximize productivity leading to more fruitful remote collaboration. Future work involves expanding the analysis to more projects and incorporating quantitative methods.","PeriodicalId":309659,"journal":{"name":"Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127802911","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
Java Unit Testing Tool Competition: Eighth Round Java单元测试工具竞赛:第八轮
Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops Pub Date : 2020-06-27 DOI: 10.1145/3387940.3392265
Xavier Devroey, Sebastiano Panichella, Alessio Gambi
{"title":"Java Unit Testing Tool Competition: Eighth Round","authors":"Xavier Devroey, Sebastiano Panichella, Alessio Gambi","doi":"10.1145/3387940.3392265","DOIUrl":"https://doi.org/10.1145/3387940.3392265","url":null,"abstract":"We report on the results of the eighth edition of the Java unit testing tool competition. This year, two tools, EvoSuite and Randoop, were executed on a benchmark with (i) new classes under test, selected from open-source software projects, and (ii) the set of classes from one project considered in the previous edition. We relied on an updated infrastructure for the execution of the different tools and the subsequent coverage and mutation analysis based on Docker containers. We considered two different time budgets for test case generation: one an three minutes. This paper describes our methodology and statistical analysis of the results, presents the results achieved by the contestant tools and highlights the challenges we faced during the competition.","PeriodicalId":309659,"journal":{"name":"Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128802751","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: 19
Software engineering for 'quantum advantage' “量子优势”的软件工程
Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops Pub Date : 2020-06-27 DOI: 10.1145/3387940.3392184
L. S. Barbosa
{"title":"Software engineering for 'quantum advantage'","authors":"L. S. Barbosa","doi":"10.1145/3387940.3392184","DOIUrl":"https://doi.org/10.1145/3387940.3392184","url":null,"abstract":"Software is a critical factor in the reliability of computer systems. While the development of hardware is assisted by mature science and engineering disciplines, software science is still in its infancy. This situation is likely to worsen in the future with quantum computer systems. Actually, if quantum computing is quickly coming of age, with potential groundbreaking impacts on many different fields, such benefits come at a price: quantum programming is hard and finding new quantum algorithms is far from straightforward. Thus, the need for suitable formal techniques in quantum software development is even bigger than in classical computation. A lack of reliable approaches to quantum computer programming will put at risk the expected quantum advantage of the new hardware. This position paper argues for the need for a proper quantum software engineering discipline benefiting from precise foundations and calculi, capable of supporting algorithm development and analysis.","PeriodicalId":309659,"journal":{"name":"Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115215792","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: 16
On the Relevance of Cross-project Learning with Nearest Neighbours for Commit Message Generation 基于最近邻的跨项目学习与提交消息生成的相关性研究
Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops Pub Date : 2020-06-27 DOI: 10.1145/3387940.3391488
K. Etemadi, Monperrus Martin
{"title":"On the Relevance of Cross-project Learning with Nearest Neighbours for Commit Message Generation","authors":"K. Etemadi, Monperrus Martin","doi":"10.1145/3387940.3391488","DOIUrl":"https://doi.org/10.1145/3387940.3391488","url":null,"abstract":"Commit messages play an important role in software maintenance and evolution. Nonetheless, developers often do not produce high-quality messages. A number of commit message generation methods have been proposed in recent years to address this problem. Some of these methods are based on neural machine translation (NMT) techniques. Studies show that the nearest neighbor algorithm (NNGen) outperforms existing NMT-based methods, although NNGen is simpler and faster than NMT. In this paper, we show that NNGen does not take advantage of cross-project learning in the majority of the cases. We also show that there is an even simpler and faster variation of the existing NNGen method which outperforms it in terms of the BLEU_4 score without using cross-project learning.","PeriodicalId":309659,"journal":{"name":"Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127446898","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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