Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops最新文献_第7页

Automated Software Quality Monitoring in Research Collaboration Projects 研究合作项目中的自动化软件质量监控

Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops Pub Date : 2020-06-27 DOI: 10.1145/3387940.3391478

Michael Sildatke, H. Karwanni, B. Kraft, Oliver Schmidts, Albert Zündorf

{"title":"Automated Software Quality Monitoring in Research Collaboration Projects","authors":"Michael Sildatke, H. Karwanni, B. Kraft, Oliver Schmidts, Albert Zündorf","doi":"10.1145/3387940.3391478","DOIUrl":"https://doi.org/10.1145/3387940.3391478","url":null,"abstract":"In collaborative research projects, both researchers and practitioners work together solving business-critical challenges. These projects often deal with ETL processes, in which humans extract information from non-machine-readable documents by hand. AI-based machine learning models can help to solve this problem. Since machine learning approaches are not deterministic, their quality of output may decrease over time. This fact leads to an overall quality loss of the application which embeds machine learning models. Hence, the software qualities in development and production may differ. Machine learning models are black boxes. That makes practitioners skeptical and increases the inhibition threshold for early productive use of research prototypes. Continuous monitoring of software quality in production offers an early response capability on quality loss and encourages the use of machine learning approaches. Furthermore, experts have to ensure that they integrate possible new inputs into the model training as quickly as possible. In this paper, we introduce an architecture pattern with a reference implementation that extends the concept of Metrics Driven Research Collaboration with an automated software quality monitoring in productive use and a possibility to auto-generate new test data coming from processed documents in production. Through automated monitoring of the software quality and auto-generated test data, this approach ensures that the software quality meets and keeps requested thresholds in productive use, even during further continuous deployment and changing input data.","PeriodicalId":309659,"journal":{"name":"Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115447497","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

Refining Fitness Functions in Test-Based Program Repair 基于测试的程序修复中适应度函数的改进

Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops Pub Date : 2020-06-27 DOI: 10.1145/3387940.3392180

J. Petke, Aymeric Blot

引用次数: 8

Program Repairing History as Git Repository 程序修复历史作为Git存储库

Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops Pub Date : 2020-06-27 DOI: 10.1145/3387940.3392178

Ryoko Izuta, S. Matsumoto, Yoshiki Higo, S. Kusumoto

引用次数: 0

Behavioral Aspects of Safety-Critical Software Development 安全关键软件开发的行为方面

Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops Pub Date : 2020-06-27 DOI: 10.1145/3387940.3392227

Per Lenberg, R. Feldt, Lars Göran Wallgren Tengberg, Lucas Gren

{"title":"Behavioral Aspects of Safety-Critical Software Development","authors":"Per Lenberg, R. Feldt, Lars Göran Wallgren Tengberg, Lucas Gren","doi":"10.1145/3387940.3392227","DOIUrl":"https://doi.org/10.1145/3387940.3392227","url":null,"abstract":"We are becoming increasingly dependent on software systems also for highly critical tasks in society. To minimize the risk of failures, regulatory institutions define standards that software organizations must meet. However, the quality of the safety-critical software is, ultimately, determined by the software engineers' behavior. Even though previous studies have recognized the significance of such behavioral aspects, research that studies them is limited. The aim of this initial study was, therefore, to identify how and in what way, behavioral aspects affect the quality of safety-critical software. Thematic analysis of interviews with six software engineers identified four themes linking developer behavior to safety. Our analysis suggests that developing safety-critical systems imposes stress on software engineers and that to reduce such pressure it is critical to enhance organizational trust. It also indicates that the agile way-of-working has the potential to improve safety by facilitating the sharing of domain knowledge. Our findings provide directions for future studies into these important aspects and can be of wider relevance, in particular for the development of secure software, but potentially also for general software engineering.","PeriodicalId":309659,"journal":{"name":"Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129407632","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

Towards a Quantum Software Modeling Language 迈向量子软件建模语言

Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops Pub Date : 2020-06-27 DOI: 10.1145/3387940.3392183

Carlos A. Pérez-Delgado, H. G. Pérez-González

引用次数: 38

How Do Negative Emotions Influence on the Conceptual Models Verification?: A live study proposal 负性情绪如何影响概念模型的验证?:现场学习计划

Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops Pub Date : 2020-06-27 DOI: 10.1145/3387940.3392090

Angela Mayhua-Quispe, Franci Suni Lopez, Maria Fernanda Granda, Nelly Condori-Fernández

引用次数: 1

Human-AI Partnerships for Chaos Engineering 混沌工程中的人类-人工智能伙伴关系

Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops Pub Date : 2020-06-27 DOI: 10.1145/3387940.3391493

L. Canonico, Vimal Vakeel, James Dominic, Paige Rodeghero

引用次数: 1

What happens in a control room during a cybersecurity attack?: Preliminary observations from a pilot study 在网络安全攻击期间，控制室会发生什么?:初步研究的初步观察结果

Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops Pub Date : 2020-06-27 DOI: 10.1145/3387940.3391454

E. Nystad, Vikash Katta, J. Simensen

{"title":"What happens in a control room during a cybersecurity attack?: Preliminary observations from a pilot study","authors":"E. Nystad, Vikash Katta, J. Simensen","doi":"10.1145/3387940.3391454","DOIUrl":"https://doi.org/10.1145/3387940.3391454","url":null,"abstract":"Cyberattacks on the critical infrastructure is a growing concern for businesses, national authorities and public in general. The increasing complexity and connectivity of the critical infrastructure systems have made them susceptible to cyberattacks. The traditional notion of safety systems being isolated is no longer applicable, as we have seen ample examples on how these systems can be exploited through gaps in e.g. supply chain, physical security, insiders. This places greater importance on how the staff belonging to owners and operators of these critical infrastructure, e.g. operators, IT/security personnel, system engineers, management, are prepared to handle cyberattacks. This paper presents our ongoing research on investigating the preparedness of organisations to handle cybersecurity incidents and providing holistic solutions to improve cybersecurity posture. We present one experiment that has been conducted using our cybersecurity centre and man-machine laboratory to study how operators and security team of a power plant will handle a cyberattack. We highlight the main observations made through this experiment.","PeriodicalId":309659,"journal":{"name":"Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127930569","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

A Testing Tool for Machine Learning Applications 机器学习应用的测试工具

Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops Pub Date : 2020-06-27 DOI: 10.1145/3387940.3392694

Yelin Liu, Yang Liu, T. Chen, Z. Zhou

引用次数: 5

ARCAMETES

Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops Pub Date : 2020-06-27 DOI: 10.1145/3387940.3391482

Darryl C. Jarman, Riley Smith, Owen Johnston, D. Towey, Z. Zhou

引用次数: 0