2017 IEEE 25th International Requirements Engineering Conference (RE)最新文献_第3页

RE in the Age of Continuous Deployment 持续部署时代的RE

2017 IEEE 25th International Requirements Engineering Conference (RE) Pub Date : 2017-09-01 DOI: 10.1109/RE.2017.89

Nan Niu

引用次数: 4

Usability Insights for Requirements Engineering Tools: A User Study with Practitioners in Aeronautics 需求工程工具的可用性洞察:航空领域实践者的用户研究

2017 IEEE 25th International Requirements Engineering Conference (RE) Pub Date : 2017-09-01 DOI: 10.1109/RE.2017.20

Hélène Gaspard-Boulinc, Stéphane Conversy

引用次数: 5

How Much Undocumented Knowledge is there in Agile Software Development?: Case Study on Industrial Project Using Issue Tracking System and Version Control System 敏捷软件开发中有多少未记录的知识?:工业项目使用问题跟踪系统和版本控制系统的案例研究

2017 IEEE 25th International Requirements Engineering Conference (RE) Pub Date : 2017-09-01 DOI: 10.1109/RE.2017.33

Shinobu Saito, Yukako Iimura, Aaron K. Massey, A. Antón

{"title":"How Much Undocumented Knowledge is there in Agile Software Development?: Case Study on Industrial Project Using Issue Tracking System and Version Control System","authors":"Shinobu Saito, Yukako Iimura, Aaron K. Massey, A. Antón","doi":"10.1109/RE.2017.33","DOIUrl":"https://doi.org/10.1109/RE.2017.33","url":null,"abstract":"In agile software development projects, software engineers prioritize implementation over documentation to eliminate needless documentation. Is the cost of missing documentation greater than the cost of producing unnecessary or unused documentation? Even without these documents, software engineers maintain other software artifacts, such as tickets in an issue tracking system (ITS) or source code committed to a version control system (VCS). Do these artifacts contain the necessary knowledge? In this paper, we examine undocumented knowledge in an agile software development project at NTT. For our study, we collected 159 commit logs in a VCS and 102 tickets in the ITS from the three-month period of the project. We propose a ticket-commit network chart (TCC) that visually represents time-series commit activities along with filed issue tickets. We also implement a tool to generate the TCC using both commit log and ticket data. Our study revealed that in 16% of all commits, software engineers committed source code to the VCS without a corresponding issue ticket in the ITS. Had these commits been based on individual issue tickets, these \"unissued\" tickets would have accounted for 20% of all tickets. Software users and requirements engineers also evaluated the contents of these commits and found that 42% of the \"unissued\" tickets were required for software operation and 23% of those were required for requirements modification.","PeriodicalId":176958,"journal":{"name":"2017 IEEE 25th International Requirements Engineering Conference (RE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130847533","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: 11

A Case Study on a Specification Approach Using Activity Diagrams in Requirements Documents 需求文档中使用活动图的规范方法的案例研究

2017 IEEE 25th International Requirements Engineering Conference (RE) Pub Date : 2017-09-01 DOI: 10.1109/RE.2017.28

M. Beckmann, Andreas Vogelsang, Christian Reuter

{"title":"A Case Study on a Specification Approach Using Activity Diagrams in Requirements Documents","authors":"M. Beckmann, Andreas Vogelsang, Christian Reuter","doi":"10.1109/RE.2017.28","DOIUrl":"https://doi.org/10.1109/RE.2017.28","url":null,"abstract":"Rising complexity of systems has long been a major challenge in requirements engineering. This manifests in more extensive and harder to understand requirements documents. At the Daimler AG, an approach is applied that combines the use of activity diagrams with natural language specifications to specify system functions. The approach starts with an activity diagram that is created to get an early overview. The contained information is then transferred to a textual requirements document, where details are added and the behavior is refined. While the approach aims to reduce efforts needed to understand a system's behavior, the application of the approach itself causes new challenges on its own. By examining existing specifications at Daimler, we identified nine categories of inconsistencies and deviations between activity diagrams and their textual representations. In a case study, we examined one system in detail to assess how often these occur. In a follow-up survey, we presented instances of the categories to different stakeholders of the system and let them asses the categories regarding their severity. Our analysis indicates that a coexistence of textual and graphical representations of models without proper tool support results in inconsistencies and deviations that may cause severe maintenance costs or even provoke faults in subsequent development steps.","PeriodicalId":176958,"journal":{"name":"2017 IEEE 25th International Requirements Engineering Conference (RE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125290644","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

A Domain-Independent Model for Identifying Security Requirements 用于识别安全需求的领域独立模型

2017 IEEE 25th International Requirements Engineering Conference (RE) Pub Date : 2017-09-01 DOI: 10.1109/RE.2017.79

Nuthan Munaiah, Andrew Meneely, Pradeep K. Murukannaiah

{"title":"A Domain-Independent Model for Identifying Security Requirements","authors":"Nuthan Munaiah, Andrew Meneely, Pradeep K. Murukannaiah","doi":"10.1109/RE.2017.79","DOIUrl":"https://doi.org/10.1109/RE.2017.79","url":null,"abstract":"Existing work on identifying security requirements relies on training binary classification models using domain-specific data sets to achieve a high accuracy. Considering that domain-specific data sets are often not readily available, we propose a domain-independent model for classifying security requirements based on two key ideas. First, we train our model on the description of weaknesses from the Common Weakness Enumeration (CWE) data set. Although CWE does not describe requirements, it describes security weaknesses that are manifestations of unrealized security requirements. Second, we exploit a one-class classification model that relies only on positive samples (description of weaknesses in CWE), eliminating the need for negative samples, collecting which can be nontrivial.We evaluated our model on three industrial requirements documents from different domains. We found that a One-Class Support Vector Machine trained with domain-independent CWE data set outperforms a model from prior literature by identifying security requirements with an average precision, recall and F-score of 67.35%, 70.48% and 67.68%, respectively. Further, considering data sets from prior literature (consisting of both positive and negative examples), we found that one-class classifiers trained with only positive examples outperformed binary classifiers trained with both positive and negative examples in two out of three evaluation data sets, demonstrating the potential value of one-class classification for security requirements identification.","PeriodicalId":176958,"journal":{"name":"2017 IEEE 25th International Requirements Engineering Conference (RE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128734484","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: 15

New Frontiers for Requirements Engineering 需求工程的新领域

2017 IEEE 25th International Requirements Engineering Conference (RE) Pub Date : 2017-09-01 DOI: 10.1109/RE.2017.23

David Callele, K. Wnuk, B. Penzenstadler

引用次数: 10

ECrits — Visualizing Support Ticket Escalation Risk ECrits -可视化支持票升级风险

2017 IEEE 25th International Requirements Engineering Conference (RE) Pub Date : 2017-09-01 DOI: 10.1109/RE.2017.62

Lloyd Montgomery, Emma Reading, D. Damian

{"title":"ECrits — Visualizing Support Ticket Escalation Risk","authors":"Lloyd Montgomery, Emma Reading, D. Damian","doi":"10.1109/RE.2017.62","DOIUrl":"https://doi.org/10.1109/RE.2017.62","url":null,"abstract":"Managing support tickets in large, multi-product organizations is difficult. Failure to meet the expectations of customers can lead to the escalation of support tickets, which is costly for IBM in terms of customer relationships and resources spent addressing the escalation. Keeping the customer happy is an important task in requirements engineering, which often comes in the form of handling their problems brought forth in support tickets. Proper attention to customers, their issues, and the bottom-up requirements that surface through bug reports can be difficult when the support process involves spending a lot of time managing customers to prevent escalations. For any given support analyst, understanding the customer is achievable through time spent looking through past and present support tickets within their organization; however, this solution does not scale up to account for all support tickets across all product teams. ECrits is a tool developed to help mitigate information overload by selectively mining customer information from support ticket repositories, displaying that data to support analysts, and doing predictive modelling on that data to suggest which support tickets are likely to escalate.","PeriodicalId":176958,"journal":{"name":"2017 IEEE 25th International Requirements Engineering Conference (RE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116456230","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

Toward Automating Crowd RE 走向自动化人群RE

2017 IEEE 25th International Requirements Engineering Conference (RE) Pub Date : 2017-09-01 DOI: 10.1109/RE.2017.74

Pradeep K. Murukannaiah, Nirav Ajmeri, Munindar P. Singh

引用次数: 24

Detecting Vague Words & Phrases in Requirements Documents in a Multilingual Environment 多语言环境下需求文档中模糊词和短语的检测

2017 IEEE 25th International Requirements Engineering Conference (RE) Pub Date : 2017-09-01 DOI: 10.1109/RE.2017.24

Breno Dantas Cruz, Bargav Jayaraman, Anurag Dwarakanath, Collin McMillan

引用次数: 10

Users — The Hidden Software Product Quality Experts?: A Study on How App Users Report Quality Aspects in Online Reviews 用户——隐藏的软件产品质量专家?: App用户在线评价中质量方面的反馈研究

2017 IEEE 25th International Requirements Engineering Conference (RE) Pub Date : 2017-09-01 DOI: 10.1109/RE.2017.73

Eduard C. Groen, Sylwia Kopczynska, Marc P. Hauer, Tobias D. Krafft, Jörg Dörr

{"title":"Users — The Hidden Software Product Quality Experts?: A Study on How App Users Report Quality Aspects in Online Reviews","authors":"Eduard C. Groen, Sylwia Kopczynska, Marc P. Hauer, Tobias D. Krafft, Jörg Dörr","doi":"10.1109/RE.2017.73","DOIUrl":"https://doi.org/10.1109/RE.2017.73","url":null,"abstract":"[Context and motivation] Research on eliciting requirements from a large number of online reviews using automated means has focused on functional aspects. Assuring the quality of an app is vital for its success. This is why user feedback concerning quality issues should be considered as well [Question/problem] But to what extent do online reviews of apps address quality characteristics? And how much potential is there to extract such knowledge through automation? [Principal ideas/results] By tagging online reviews, we found that users mainly write about \"usability\" and \"reliability\", but the majority of statements are on a subcharacteristic level, most notably regarding \"operability\", \"adaptability\", \"fault tolerance\", and \"interoperability\". A set of 16 language patterns regarding \"usability\" correctly identified 1,528 statements from a large dataset far more efficiently than our manual analysis of a small subset. [Contribution] We found that statements can especially be derived from online reviews about qualities by which users are directly affected, although with some ambiguity. Language patterns can identify statements about qualities with high precision, though the recall is modest at this time. Nevertheless, our results have shown that online reviews are an unused Big Data source for quality requirements.","PeriodicalId":176958,"journal":{"name":"2017 IEEE 25th International Requirements Engineering Conference (RE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130862859","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: 58