2016 IEEE/ACM 3rd International Workshop on Software Engineering Research and Industrial Practice (SER&IP)最新文献

How to Catch 'Em All: WatchDog, a Family of IDE Plug-Ins to Assess Testing 如何抓住它们:WatchDog，一个IDE插件家族来评估测试

2016 IEEE/ACM 3rd International Workshop on Software Engineering Research and Industrial Practice (SER&IP) Pub Date : 2016-05-14 DOI: 10.1145/2897022.2897027

M. Beller, I. Levaja, Annibale Panichella, Georgios Gousios, A. Zaidman

引用次数: 17

Fostering Collaboration through API Economy: The E015 Digital Ecosystem 通过API经济促进合作:E015数字生态系统

2016 IEEE/ACM 3rd International Workshop on Software Engineering Research and Industrial Practice (SER&IP) Pub Date : 2016-05-14 DOI: 10.1145/2897022.2897026

Michele Bonardi, M. Brioschi, A. Fuggetta, Emiliano Sergio Verga, Maurilio Zuccalà

引用次数: 11

Security Engineering Risk Analysis (SERA) 安全工程风险分析(SERA)

2016 IEEE/ACM 3rd International Workshop on Software Engineering Research and Industrial Practice (SER&IP) Pub Date : 2016-05-14 DOI: 10.1145/2897022.2897024

Carol Woody

引用次数: 2

Cost-Efficient Quality Assurance of Natural Language Processing Tools through Continuous Monitoring with Continuous Integration 通过持续监测和持续集成实现自然语言处理工具的成本效益质量保证

2016 IEEE/ACM 3rd International Workshop on Software Engineering Research and Industrial Practice (SER&IP) Pub Date : 2016-05-14 DOI: 10.1145/2897022.2897029

Marc Schreiber, B. Kraft, Albert Zündorf

{"title":"Cost-Efficient Quality Assurance of Natural Language Processing Tools through Continuous Monitoring with Continuous Integration","authors":"Marc Schreiber, B. Kraft, Albert Zündorf","doi":"10.1145/2897022.2897029","DOIUrl":"https://doi.org/10.1145/2897022.2897029","url":null,"abstract":"More and more modern applications make use of natural language data, e. g. Information Extraction (IE) or Question Answering (QA) systems. Those application require preprocessing through Natural Language Processing (NLP) pipelines, and the output quality of these applications depends on the output quality of NLP pipelines. If NLP pipelines are applied in different domains, the output quality decreases and the application requires domain specific NLP training to improve the output quality.Adapting NLP tools to specific domains is a time-consuming and expensive task, inducing two key questions: a) how many documents need to be annotated to reach good output quality and b) what NLP tools build the best performing NLP pipeline? In this paper we demonstrate a monitoring system based on principles of Continuous Integration which addresses those questions and guides IE or QA application developers to build high quality NLP pipelines in a cost-efficient way. This monitoring system is based on many common tools, used in many software engineering projects.","PeriodicalId":330342,"journal":{"name":"2016 IEEE/ACM 3rd International Workshop on Software Engineering Research and Industrial Practice (SER&IP)","volume":"363 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134479149","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

Understanding the Impact of Technical Debt in Coding and Testing: An Exploratory Case Study 理解技术债务在编码和测试中的影响:一个探索性案例研究

2016 IEEE/ACM 3rd International Workshop on Software Engineering Research and Industrial Practice (SER&IP) Pub Date : 2016-05-14 DOI: 10.1145/2897022.2897023

Zahra Shakeri, H. Abad, R. Karimpour, Jason Ho, S. M. Didar-Al-Alam, G. Ruhe, E. Tse, Kevin Barabash, I. Hargreaves

{"title":"Understanding the Impact of Technical Debt in Coding and Testing: An Exploratory Case Study","authors":"Zahra Shakeri, H. Abad, R. Karimpour, Jason Ho, S. M. Didar-Al-Alam, G. Ruhe, E. Tse, Kevin Barabash, I. Hargreaves","doi":"10.1145/2897022.2897023","DOIUrl":"https://doi.org/10.1145/2897022.2897023","url":null,"abstract":"Technical Debt (TD) refers to the long-term consequences of shortcuts taken during different phases of software development life cycle. Lack of attention to monitoring and managing testing and development debt can contribute to unexpectedly large cost overruns and severe quality issues in software development projects. This paper describes a case study conducted with an industry partner to explore the impact of TD in coding and testing. By conducting (i) a semi-structured interview, and (ii) a quantitative survey, we found that (1) the status of TD is largely project-independent, (2) we could not reject that there is no significant difference between the percentage of existing TD and the required time for reducing this TD in testing and development teams, (3) there is a statistically significant difference between the perceived influence of reducing TD on productivity increase in testing and development teams, (4) team member's experience has impact on the existing percentage of TD and influences productivity increase that is caused by reducing TD, (5) allocating more resources such as time, budget, and infrastructure is considered a potential solution for reducing TD.","PeriodicalId":330342,"journal":{"name":"2016 IEEE/ACM 3rd International Workshop on Software Engineering Research and Industrial Practice (SER&IP)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125094126","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

Strategies for Building Successful Company-University Research Collaborations 建立成功的公司-大学研究合作的策略

2016 IEEE/ACM 3rd International Workshop on Software Engineering Research and Industrial Practice (SER&IP) Pub Date : 2016-05-14 DOI: 10.1145/2897022.2897025

S. Fraser, D. Mancl

引用次数: 8

Toward Effective Management of Large-Scale Software 面向大规模软件的有效管理

2016 IEEE/ACM 3rd International Workshop on Software Engineering Research and Industrial Practice (SER&IP) Pub Date : 2016-05-14 DOI: 10.1145/2897022.2897028

A. McAllister, Steven A. O'Hara

{"title":"Toward Effective Management of Large-Scale Software","authors":"A. McAllister, Steven A. O'Hara","doi":"10.1145/2897022.2897028","DOIUrl":"https://doi.org/10.1145/2897022.2897028","url":null,"abstract":"This paper outlines challenges the authors have faced over decades of industrial experience with large-scale software analysis and maintenance projects (especially legacy modernization) for multiple organizations where millions of lines of source code are involved. Such projects require large teams cooperating on parsing, analyzing, and manipulating source code. In this context the use of traditional parsing techniques based on context-free grammars has proven problematic. We present the Programmar API, a recently developed parsing approach designed to overcome these problems. This paper describes the industrial experiences that led to our R&D activities. The Programmar approach is designed to enable large teams to effectively extract complete, accurate, up-to-date information from application source code, and to provide this information as the basis for a wide variety of software management tools and activities. We present a framework that relates various types of such activities, and describe a vision for how the Programmar approach can provide significant benefits for the software industry in the future via an open-source distribution approach. This paper is intended to serve as an example of how challenges faced by industry can stimulate research, and as a catalyst for discussion of industry needs and potential future research directions.","PeriodicalId":330342,"journal":{"name":"2016 IEEE/ACM 3rd International Workshop on Software Engineering Research and Industrial Practice (SER&IP)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132899771","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

TestMEReq: Generating Abstract Tests for Requirements Validation TestMEReq:为需求验证生成抽象测试

2016 IEEE/ACM 3rd International Workshop on Software Engineering Research and Industrial Practice (SER&IP) Pub Date : 2016-05-14 DOI: 10.1145/2897022.2897031

N. A. Moketar, M. Kamalrudin, Safiah Sidek, Mark Robinson, J. Grundy

引用次数: 11

Experiences in Scaling Field Studies of Software Developer Behavior 软件开发人员行为的扩展研究经验

2016 IEEE/ACM 3rd International Workshop on Software Engineering Research and Industrial Practice (SER&IP) Pub Date : 2016-05-01 DOI: 10.1145/2897022.2897838

L. Pollock

{"title":"Experiences in Scaling Field Studies of Software Developer Behavior","authors":"L. Pollock","doi":"10.1145/2897022.2897838","DOIUrl":"https://doi.org/10.1145/2897022.2897838","url":null,"abstract":"Most of our current understanding of how programmers perform various software maintenance and evolution tasks is based on controlled studies or interviews, which are inherently limited in size, scope, and realism. Replicating controlled studies in the field can both explore the findings of these studies in wider contexts and study new factors that have not been previously encountered in the laboratory setting. While replicating controlled studies in the field seems like an obvious next step in scientific progress, it is a step that has rarely been attempted, in part due to its complexity, which requires not only the industrial knowhow to implement a robust, scalable system, but the academic knowledge of how to design rigorous studies. In this talk, I will describe a few examples of successfully scaled studies, contrast them with less successful cases (including our own), and provide lessons learned. I will share the importance of collecting targeted information instead of generic logs, the insight that automated data collection paired with followup surveys is a powerful tool, and the nuances around what researchers can and cannot expect working developers to tolerate for the sake of research.","PeriodicalId":330342,"journal":{"name":"2016 IEEE/ACM 3rd International Workshop on Software Engineering Research and Industrial Practice (SER&IP)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132190922","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

Software Engineering Research Lab to Airplanes, Orion and Beyond 软件工程研究实验室的飞机，猎户座和超越

2016 IEEE/ACM 3rd International Workshop on Software Engineering Research and Industrial Practice (SER&IP) Pub Date : 2016-05-01 DOI: 10.1145/2897022.2897032

S. Kothari

{"title":"Software Engineering Research Lab to Airplanes, Orion and Beyond","authors":"S. Kothari","doi":"10.1145/2897022.2897032","DOIUrl":"https://doi.org/10.1145/2897022.2897032","url":null,"abstract":"This paper is a short story of my adventures of the past 20 years trying to integrate academic research with software engineering problems in industry. I share the challenges I encountered on the way, my failures and successes, evolution of my research, and its adoption in industry. Though I faced many hardships, I feel great satisfaction in knowing that my research is applied today in the design of avionics systems, automobiles, and even in NASA's Orion program. My latest adventure and honor is an opportunity to participate in two visionary Defense Advanced Research Project Agency (DARPA) programs aimed at developing an innovative technology to fight the war against sophisticated malware that poses grave security threats to individuals and nations. Without working with industry, it would not have been possible for me to formulate rigorous but practical research problems. These problems have shaped my research. I narrate my story to provide insights into bridging the gap between academic research and the problems industry practitioners face. My hope is the reader can benefit from the story and be able to achieve in 10 years what has taken me 20 years. I also hope that my story encourages industry practitioners to work with universities.","PeriodicalId":330342,"journal":{"name":"2016 IEEE/ACM 3rd International Workshop on Software Engineering Research and Industrial Practice (SER&IP)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121765622","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