2021 IEEE 29th International Requirements Engineering Conference Workshops (REW)最新文献_第4页

Security Requirements as Code: Example from VeriDevOps Project 作为代码的安全需求:来自VeriDevOps项目的示例

2021 IEEE 29th International Requirements Engineering Conference Workshops (REW) Pub Date : 2021-09-01 DOI: 10.1109/REW53955.2021.00063

Khaled Ismaeel, A. Naumchev, A. Sadovykh, D. Truscan, Eduard Paul Enoiu, C. Seceleanu

引用次数: 1

Creating Mobile Self-Triage Applications: Requirements and Usability Perspectives 创建移动自分类应用程序:需求和可用性视角

2021 IEEE 29th International Requirements Engineering Conference Workshops (REW) Pub Date : 2021-09-01 DOI: 10.1109/REW53955.2021.00048

M. Ziabari, Daniel Amyot, W. Michalowski, E. M. Bouattane, Nassoh Hafez

{"title":"Creating Mobile Self-Triage Applications: Requirements and Usability Perspectives","authors":"M. Ziabari, Daniel Amyot, W. Michalowski, E. M. Bouattane, Nassoh Hafez","doi":"10.1109/REW53955.2021.00048","DOIUrl":"https://doi.org/10.1109/REW53955.2021.00048","url":null,"abstract":"Many people visit an emergency department immediately after experiencing some unusual symptoms, without any regard to the scale of acuity of their condition. Some of these visits are unnecessary and lead to overcrowded emergency departments, increased wait times, and overutilization of scarce healthcare resources. At the other end of the spectrum, there are people who do not seek medical advice when they should. One solution to these problems is to provide a reliable source of information that would allow people to assess their need for consulting (self-triage) in a way that helps reduce the number of inappropriate visits and that promotes seeking medical help when necessary. This paper aims to identify requirements that make such self-triage applications usable. To this end, after assessing existing apps, we studied a new self-triage mobile application called Symptoms Pal, co-developed with Montfort Hospital in Ottawa, Canada. This application guides a user through a series of questions and, at the end, provides advice about the possible problem and course of action (911, visit an emergency department, visit a doctor, or self-care). The usability of Symptoms Pal was evaluated by a study involving 34 participants. Several strengths and weaknesses of the usability and perceived usefulness of the application were identified and led to additional requirements and a revised version. This research contributes 25 reusable requirements and validated user interface design artefacts for self-triage mobile applications that can be used by developers of similar applications.","PeriodicalId":393646,"journal":{"name":"2021 IEEE 29th International Requirements Engineering Conference Workshops (REW)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125026945","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

Theory of Constructed Emotion Meets RE 建构情绪理论与重构理论相结合

2021 IEEE 29th International Requirements Engineering Conference Workshops (REW) Pub Date : 2021-09-01 DOI: 10.1109/REW53955.2021.00067

K. Taveter, Tahira Iqbal

引用次数: 5

Towards Perspicuity Requirements 达到清晰度要求

2021 IEEE 29th International Requirements Engineering Conference Workshops (REW) Pub Date : 2021-09-01 DOI: 10.1109/REW53955.2021.00029

Sarah Sterz, Kevin Baum, Anne Lauber-Rönsberg, H. Hermanns

引用次数: 6

D-REQs: Determination of security & safety requirements in workshops based on the use of model-based systems engineering* D-REQs:基于模型系统工程的车间安全与安全要求的确定*

2021 IEEE 29th International Requirements Engineering Conference Workshops (REW) Pub Date : 2021-09-01 DOI: 10.1109/REW53955.2021.00073

Sergej Japs, H. Anacker, L. Kaiser, Jörg Holtmann, R. Dumitrescu, F. Kargl

{"title":"D-REQs: Determination of security & safety requirements in workshops based on the use of model-based systems engineering*","authors":"Sergej Japs, H. Anacker, L. Kaiser, Jörg Holtmann, R. Dumitrescu, F. Kargl","doi":"10.1109/REW53955.2021.00073","DOIUrl":"https://doi.org/10.1109/REW53955.2021.00073","url":null,"abstract":"Cyber-physical systems, like autonomous vehicles, are intelligent and networked. The development of such systems requires cooperation between different stakeholders. A lack of system understanding can lead to unidentified (safety relevant) security requirements (SRSR) in early engineering. This can increase product development costs or compromise system safety compliance. Model-based systems engineering (MBSE) improves the system understanding by using models. Conducting workshops in the context of MBSE promotes interaction between stakeholders so that confusion regarding SRSR can be resolved already in the workshop. Using the models created, requirements can be derived in the workshop. However, established security & safety approaches are not specifically designed to be used in conjunction with MBSE and requirements engineering. In this paper, we present an extension of our previously developed SAVE approach. This extension supports a team of stakeholders in workshops to derive SRSR using MBSE. We illustrate our approach with an example from the automotive domain and present an initial field study of the application of our approach, based on a 2-month student project.","PeriodicalId":393646,"journal":{"name":"2021 IEEE 29th International Requirements Engineering Conference Workshops (REW)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128434643","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

Exploring Non-Functional Requirements for Blockchain-Oriented Systems 探索面向区块链系统的非功能需求

2021 IEEE 29th International Requirements Engineering Conference Workshops (REW) Pub Date : 2021-09-01 DOI: 10.1109/REW53955.2021.00040

M. Kassab

引用次数: 1

Specifying Autonomous Driving Scenarios 指定自动驾驶场景

2021 IEEE 29th International Requirements Engineering Conference Workshops (REW) Pub Date : 2021-09-01 DOI: 10.1109/REW53955.2021.00079

Yue Yu, Tiexin Wang, T. Yue

{"title":"Specifying Autonomous Driving Scenarios","authors":"Yue Yu, Tiexin Wang, T. Yue","doi":"10.1109/REW53955.2021.00079","DOIUrl":"https://doi.org/10.1109/REW53955.2021.00079","url":null,"abstract":"Defects in Autonomous driving systems (ADSs) might result in catastrophic losses of lives and properties. To avoid such defects, we need to first ensure high quality requirements, which highly possibly would lead to the delivery of high-quality ADSs. Specifying requirements for ADSs, a method needs to have terms/notations specific to ADSs such as complex traffic environments (e.g., pedestrians, roads). Use case modeling is commonly practiced in industry for requirements specification and modeling. In this paper, we propose a novel use case modeling methodology, named RUCM4ADS, which specializes the Restricted Use Case Modeling (RUCM). RUCM4ADS aims to specify ADS scenarios by integrating elements from both the autonomous driving domain and Operational World Model (OWM) Ontology. Accompanied with RUCM4ADS, we also develop an editor for it. To evaluate RUCM4ADS, we conducted one real-world case study with 10 use cases. We also conducted a preliminary controlled experiment, in a laboratory setting, to evaluate the applicability of RUCM4ADS. Results show that RUCM4ADS can be used for modeling ADS scenarios and has the potential to improve the overall applicability for specifying ADS scenarios as use case models.","PeriodicalId":393646,"journal":{"name":"2021 IEEE 29th International Requirements Engineering Conference Workshops (REW)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125133330","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

Machine Learning-based Estimation of Story Points in Agile Development: Industrial Experience and Lessons Learned 敏捷开发中基于机器学习的故事点估计:工业经验和教训

2021 IEEE 29th International Requirements Engineering Conference Workshops (REW) Pub Date : 2021-09-01 DOI: 10.1109/REW53955.2021.00022

Macarious Abadeer, M. Sabetzadeh

{"title":"Machine Learning-based Estimation of Story Points in Agile Development: Industrial Experience and Lessons Learned","authors":"Macarious Abadeer, M. Sabetzadeh","doi":"10.1109/REW53955.2021.00022","DOIUrl":"https://doi.org/10.1109/REW53955.2021.00022","url":null,"abstract":"Estimating story points is an important activity in agile software engineering. Story-point estimation enables software development teams to, among other things, better scope products, prioritize requirements, allocate resources and measure progress. Several machine learning techniques have been proposed for automated story-point estimation. However, most of these techniques use open-source projects for evaluation. There are important differences between open-source and commercial projects with respect to story authoring. The goal of this paper is to evaluate a state-of-the-art machine learning technique, known as Deep-SE [3], for estimating story points in a commercial project. Our dataset is comprised of 4,727 stories for a data anonymization product developed by a 27-member agile team at a healthcare data science company, IQVIA. Over this dataset, Deep-SE achieved a mean absolute error of 1.46, significantly better than three different baselines. Model performance nonetheless varied across stories, with the estimation error being larger for stories that had higher points. Our results further indicate that model performance is correlated with certain story characteristics such as the level of detail and the frequency of vague terms in the stories. An important take-away from our study is that, before organizations attempt to introduce machine learning-based estimation into agile development, they need to better embrace agile best practices, particularly in relation to story authoring and expert-based estimation.","PeriodicalId":393646,"journal":{"name":"2021 IEEE 29th International Requirements Engineering Conference Workshops (REW)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127564291","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

Towards Efficient Use Case Modeling with Automated Domain Classification and Term Recommendation 用自动领域分类和术语推荐实现高效用例建模

2021 IEEE 29th International Requirements Engineering Conference Workshops (REW) Pub Date : 2021-09-01 DOI: 10.1109/REW53955.2021.00011

Zewen Qi, Tiexin Wang, Tao Yue

{"title":"Towards Efficient Use Case Modeling with Automated Domain Classification and Term Recommendation","authors":"Zewen Qi, Tiexin Wang, Tao Yue","doi":"10.1109/REW53955.2021.00011","DOIUrl":"https://doi.org/10.1109/REW53955.2021.00011","url":null,"abstract":"In requirements engineering, it takes significant time to specify requirements of various formats. Quality of specified requirements has direct impact on subsequent activities of software development, such as analysis and design. Motivated by this, in the paper, we aim to reduce effort required for specifying use case models and meanwhile improve their quality (in terms of consistency and correctness, for instance). Specifically, we investigate how to automatically classify a domain and recommend domain terminologies with natural language processing and information retrieval techniques, in the context of applying Restricted Use Case Modeling (RUCM) for developing use case models in natural language. To evaluate our approach (named RUCMBot), we evaluate it with seven subject systems. Results indicate that RUCMBot can help RUCM users by recommending domain terms with the accuracy being 0.6 in terms of F-score, on average. Moreover, RUCMBot is able to 100% correctly classify domains. RUCMBot also demonstrates its capability of constructing the domain terminology dictionary, and subsequently enhancing its recommendation accuracy along with the continuous use of RUCM for use case modeling.","PeriodicalId":393646,"journal":{"name":"2021 IEEE 29th International Requirements Engineering Conference Workshops (REW)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125813737","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

Environment Model based Requirements Consistency Verification: An Example 基于环境模型的需求一致性验证举例

2021 IEEE 29th International Requirements Engineering Conference Workshops (REW) Pub Date : 2021-09-01 DOI: 10.1109/REW53955.2021.00076

Qianqian Liu, Xiaohong Chen, Zhi Jin

引用次数: 1