Selecting the Right Topics for Industry-Academia Collaborations in Software Testing: An Experience Report

V. Garousi, Kadir Herkiloglu
{"title":"Selecting the Right Topics for Industry-Academia Collaborations in Software Testing: An Experience Report","authors":"V. Garousi, Kadir Herkiloglu","doi":"10.1109/ICST.2016.7","DOIUrl":null,"url":null,"abstract":"The global software industry and the Software Engineering (SE) academia are two large communities. However, unfortunately, the level of joint industry-academia collaborations (IAC) in SE is still relatively very low, compared to the amount of activity in each of the two communities. Selecting the right topic for a new IAC has been reported to be challenging and often a deal-maker or-breaker for the start of IACs. Motivated by the above need, the goal of this paper is to propose experience-based guidelines from our 10+ software testing IACs in the past several years in Canada and Turkey to effectively and efficiently select right topics for IACs in software testing (also easily generalizable to other areas of SE), for the benefit of SE researchers and practitioners in starting new IACs. The experience and evidence supporting the guidelines in this paper are drawn from the authors' past projects and also seven on-going software-testing projects in the context of a large Turkish software and systems company. The topic-selection process has involved interaction with company representatives in the form of both multiple group discussions and separate face-to-face meetings while utilizing grounded-theory to find (converge to) topics which would be 'interesting' and useful from both industrial and academic perspectives. To increase the success of our topic selection process, we also utilized two other sources of information from the literature: (1) a set of four fitness criteria for topic selection in industry experiments, and (2) challenges and best practices for IAC, specific to project inception, as synthesized in a recent systematic literature review. We believe the results of this paper would be helpful for other researchers and practitioners not only in software testing but also in software engineering in general in increasing their chances of success in project inception and topic selection phase.","PeriodicalId":155554,"journal":{"name":"2016 IEEE International Conference on Software Testing, Verification and Validation (ICST)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Software Testing, Verification and Validation (ICST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICST.2016.7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 21

Abstract

The global software industry and the Software Engineering (SE) academia are two large communities. However, unfortunately, the level of joint industry-academia collaborations (IAC) in SE is still relatively very low, compared to the amount of activity in each of the two communities. Selecting the right topic for a new IAC has been reported to be challenging and often a deal-maker or-breaker for the start of IACs. Motivated by the above need, the goal of this paper is to propose experience-based guidelines from our 10+ software testing IACs in the past several years in Canada and Turkey to effectively and efficiently select right topics for IACs in software testing (also easily generalizable to other areas of SE), for the benefit of SE researchers and practitioners in starting new IACs. The experience and evidence supporting the guidelines in this paper are drawn from the authors' past projects and also seven on-going software-testing projects in the context of a large Turkish software and systems company. The topic-selection process has involved interaction with company representatives in the form of both multiple group discussions and separate face-to-face meetings while utilizing grounded-theory to find (converge to) topics which would be 'interesting' and useful from both industrial and academic perspectives. To increase the success of our topic selection process, we also utilized two other sources of information from the literature: (1) a set of four fitness criteria for topic selection in industry experiments, and (2) challenges and best practices for IAC, specific to project inception, as synthesized in a recent systematic literature review. We believe the results of this paper would be helpful for other researchers and practitioners not only in software testing but also in software engineering in general in increasing their chances of success in project inception and topic selection phase.
为软件测试中的产学研合作选择合适的主题:一份经验报告
全球软件工业和软件工程(SE)学术界是两个大的团体。然而,不幸的是,与两个社区的活动量相比,SE的联合产学研合作(IAC)水平仍然相对很低。据报道,为新的IAC选择合适的主题具有挑战性,往往是IAC启动的成败因素。受上述需求的推动,本文的目标是从过去几年在加拿大和土耳其的10多个软件测试IACs中提出基于经验的指导方针,以有效和高效地为软件测试中的IACs选择正确的主题(也很容易推广到SE的其他领域),以使SE研究人员和从业者在开始新的IACs时受益。支持本文指导方针的经验和证据来自作者过去的项目以及在一家大型土耳其软件和系统公司的背景下正在进行的七个软件测试项目。选题过程包括与公司代表以多组讨论和单独面对面会议的形式进行互动,同时利用基础理论从工业和学术角度寻找(融合)“有趣”和有用的主题。为了提高选题过程的成功率,我们还从文献中利用了另外两个信息来源:(1)工业实验中选题的一组四个适合标准;(2)针对IAC的挑战和最佳实践,具体到项目开始,如最近系统文献综述所综合的那样。我们相信本文的结果不仅对软件测试,而且对软件工程的其他研究人员和实践者有帮助,可以增加他们在项目开始和主题选择阶段成功的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信