2019 IEEE 27th International Requirements Engineering Conference Workshops (REW)最新文献_第3页

FormReq@RE2019 Preface FormReq@RE2019 前言

2019 IEEE 27th International Requirements Engineering Conference Workshops (REW) Pub Date : 2019-09-01 DOI: 10.1109/rew.2019.00023

S. Ebersold, Régine Laleau, M. Mazzara

引用次数: 0

Toward Requirements Specification for Machine-Learned Components 面向机器学习组件的需求规范

2019 IEEE 27th International Requirements Engineering Conference Workshops (REW) Pub Date : 2019-09-01 DOI: 10.1109/REW.2019.00049

Mona Rahimi, Jin L. C. Guo, Sahar Kokaly, M. Chechik

{"title":"Toward Requirements Specification for Machine-Learned Components","authors":"Mona Rahimi, Jin L. C. Guo, Sahar Kokaly, M. Chechik","doi":"10.1109/REW.2019.00049","DOIUrl":"https://doi.org/10.1109/REW.2019.00049","url":null,"abstract":"In current practice, the behavior of Machine-Learned Components (MLCs) is not sufficiently specified by the predefined requirements. Instead, they \"learn\" existing patterns from the available training data, and make predictions for unseen data when deployed. On the surface, their ability to extract patterns and to behave accordingly is specifically useful for hard-to-specify concepts in certain safety critical domains (e.g., the definition of a pedestrian in a pedestrian detection component in a vehicle). However, the lack of requirements specifications on their behaviors makes further software engineering tasks challenging for such components. This is especially concerning for tasks such as safety assessment and assurance. In this position paper, we call for more attention from the requirements engineering community on supporting the specification of requirements for MLCs in safety critical domains. Towards that end, we propose an approach to improve the process of requirements specification in which an MLC is developed and operates by explicitly specifying domain-related concepts. Our approach extracts a universally accepted benchmark for hard-to-specify concepts (e.g., \"pedestrian\") and can be used to identify gaps in the associated dataset and the constructed machine-learned model.","PeriodicalId":166923,"journal":{"name":"2019 IEEE 27th International Requirements Engineering Conference Workshops (REW)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129374023","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: 31

Non-Deterministic Use Case Map Traversal Algorithm for Scenario Simulation and Debugging 场景模拟与调试的非确定性用例图遍历算法

2019 IEEE 27th International Requirements Engineering Conference Workshops (REW) Pub Date : 2019-09-01 DOI: 10.1109/REW.2019.00014

Gabriel Negash, Chun Ming Liang, Feras Al Taha, Nadin Bou Khzam, G. Mussbacher

{"title":"Non-Deterministic Use Case Map Traversal Algorithm for Scenario Simulation and Debugging","authors":"Gabriel Negash, Chun Ming Liang, Feras Al Taha, Nadin Bou Khzam, G. Mussbacher","doi":"10.1109/REW.2019.00014","DOIUrl":"https://doi.org/10.1109/REW.2019.00014","url":null,"abstract":"The User Requirements Notation (URN) is a Requirements Engineering modeling language published by the International Telecommunication Union (ITU) to formally specify and analyze what a user would expect from a system. In particular, URN allows the modeling of use cases and scenarios of a system with Use Case Maps (UCM). A key benefit of formalizing these models is the added ability to better analyze them; thus gaining insight to improve quality and understanding of the requirements of the system and its capabilities. Existing traversal mechanisms which analyze UCM do not well reflect the inherent stochasticity of system or user interactions, because they are typically designed for visualization purposes rather than simulation and debugging. We propose a novel traversal mechanism that (i) better reflects real systems by incorporating non-determinism, (ii) considers multiple independent scenarios running concurrently, (iii) implements the UCM concept of map instances, and (iv) consequently enables automated simulation and execution as well as user-driven forward and backward debugging of UCM. We validate the novel traversal mechanism by applying it to a crisis response mobile app that allows a first responder to step forwards and backwards through crisis response actions.","PeriodicalId":166923,"journal":{"name":"2019 IEEE 27th International Requirements Engineering Conference Workshops (REW)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130293952","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

Using Financial Valuation Techniques to Minimize Waste in Requirements Scoping 使用财务评估技术减少需求范围的浪费

2019 IEEE 27th International Requirements Engineering Conference Workshops (REW) Pub Date : 2019-09-01 DOI: 10.1109/REW.2019.00007

Marcin Ocieszak, K. Wnuk, David Callele

引用次数: 0

The Requirements Engineering Reference Model: A Fundamental Impediment to Using Formal Methods in Software Systems Development 需求工程参考模型:在软件系统开发中使用形式化方法的一个基本障碍

2019 IEEE 27th International Requirements Engineering Conference Workshops (REW) Pub Date : 2019-09-01 DOI: 10.1109/REW.2019.00024

D. Berry

引用次数: 0

What Can the Sentiment of a Software Requirements Specification Document Tell Us? 软件需求说明文档的情感能告诉我们什么?

2019 IEEE 27th International Requirements Engineering Conference Workshops (REW) Pub Date : 2019-09-01 DOI: 10.1109/REW.2019.00022

Colin M. Werner, Ze Shi Li, Neil A. Ernst

引用次数: 3

Toward Improved Artificial Intelligence in Requirements Engineering: Metadata for Tracing Datasets 在需求工程中改进人工智能:追踪数据集的元数据

2019 IEEE 27th International Requirements Engineering Conference Workshops (REW) Pub Date : 2019-09-01 DOI: 10.1109/REW.2019.00052

J. Hayes, Jared Payne, Mallory Leppelmeier

引用次数: 7

Generating Requirements Out of Thin Air: Towards Automated Feature Identification for New Apps 凭空产生需求:迈向新应用的自动特征识别

2019 IEEE 27th International Requirements Engineering Conference Workshops (REW) Pub Date : 2019-09-01 DOI: 10.1109/REW.2019.00040

Tahira Iqbal, N. Seyff, Daniel Méndez Fernández

{"title":"Generating Requirements Out of Thin Air: Towards Automated Feature Identification for New Apps","authors":"Tahira Iqbal, N. Seyff, Daniel Méndez Fernández","doi":"10.1109/REW.2019.00040","DOIUrl":"https://doi.org/10.1109/REW.2019.00040","url":null,"abstract":"App store mining has proven to be a promising technique for requirements elicitation as companies can gain valuable knowledge to maintain and evolve existing apps. However, despite first advancements in using mining techniques for requirements elicitation, little is yet known how to distill requirements for new apps based on existing (similar) solutions and how exactly practitioners would benefit from such a technique. In the proposed work, we focus on exploring information (e.g. app store data) provided by the crowd about existing solutions to identify key features of applications in a particular domain. We argue that these discovered features and other related influential aspects (e.g. ratings) can help practitioners(e.g. software developer) to identify potential key features for new applications. To support this argument, we first conducted an interview study with practitioners to understand the extent to which such an approach would find champions in practice. In this paper, we present the first results of our ongoing research in the context of a larger road-map. Our interview study confirms that practitioners see the need for our envisioned approach. Furthermore, we present an early conceptual solution to discuss the feasibility of our approach. However, this manuscript is also intended to foster discussions on the extent to which machine learning can and should be applied to elicit automated requirements on crowd generated data on different forums and to identify further collaborations in this endeavor.","PeriodicalId":166923,"journal":{"name":"2019 IEEE 27th International Requirements Engineering Conference Workshops (REW)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121843855","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: 9

Continuous Requirements: An Example Using GDPR 持续需求:以GDPR为例

2019 IEEE 27th International Requirements Engineering Conference Workshops (REW) Pub Date : 2019-09-01 DOI: 10.1109/REW.2019.00031

Ze Shi Li, Colin M. Werner, Neil A. Ernst

{"title":"Continuous Requirements: An Example Using GDPR","authors":"Ze Shi Li, Colin M. Werner, Neil A. Ernst","doi":"10.1109/REW.2019.00031","DOIUrl":"https://doi.org/10.1109/REW.2019.00031","url":null,"abstract":"Recently, a stringent set of privacy regulations, the General Data Protection Regulation (GDPR), was enacted in the European Union, which can be considered a privacy non-functional requirement (NFR). As a result, an organization that collects or processes data from European citizens must adhere to the GDPR. Previous studies have shown that compliance to the GDPR poses a number of challenges, which we have confirmed in our own research. In this paper, we describe our ongoing research collaboration with a startup organization that is adopting the GDPR. In addition, during the course of our research, we found that our industry collaborator, practices continuous integration (CI) like many other organizations. The number of organizations adopting CI has increased since Fowler first published his definition of CI. As such, another aspect of our current research is exploring the effects of CI on privacy NFRs and other NFRs. Finally, we describe a design science approach to iteratively learn about industry challenges in GDPR compliance, NFRs in the context of CI, as well as our ongoing work creating a tool to potentially mitigate observed GDPR compliance challenges.","PeriodicalId":166923,"journal":{"name":"2019 IEEE 27th International Requirements Engineering Conference Workshops (REW)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126777947","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: 4

[Title page iii] [标题页iii]

2019 IEEE 27th International Requirements Engineering Conference Workshops (REW) Pub Date : 2019-09-01 DOI: 10.1109/rew.2019.00002

引用次数: 0