five

Additional Material for Paper: IT Managers' Perspective on Technical Debt Management

收藏
NIAID Data Ecosystem2026-05-01 收录
下载链接:
https://zenodo.org/record/6547036
下载链接
链接失效反馈
官方服务:
资源简介:
This is the additional material for the Paper "IT Managers’ Perspective on Technical Debt Management" submitted to the Journal of Systems and Software. The folder contains the following files:   Consent form - blinded.pdf: The consent form was used to gather the participants' consent to participate in this study. PreliminarySurvey.pdf: The survey was sent to all participants in advance to gather basic statistical data. ParticipantsOverview.pdf The overview of all participants was extracted from the preliminary survey. For anonymity reasons, we can not provide the country/language of the participants. InterviewGuide.pdf The interview guide was followed by the interviewers, including all questions and the rationale for questions added before the 2nd iteration. CodeSystem.xlsx All Codes were gathered from the interviews with a short explanation (in Excel to use the grouping function for a better overview). AnalyticMemos_Themes.pdf All free memos were created during the study, including all themes that led to the main concerns described in the paper. Focusgroup-discussion_Themes_slides.pdf The slides were created for the focus group discussion. The participants were introduced to the "main concerns" and asked to comment on these findings. V4C_model.drawio This is the original drawio file of our V4C model, including all diagrams from the paper. Additionally, we provide the complete version of the visibility diagram, which had to be reduced in the paper due to the page limitation. Also, the file contains one more diagram with another example of the model's usage. V4Cmodel.pdf, V4Cmodel_example.pdf, VisibilityOfCausesConsequences.pdf; VisibilityCycles.pdf All diagrams of the paper are in single PDF files. V4CTDmodel+example.pptx A short presentation of the model and an example of its usage in PowerPoint format to immediately use.
创建时间:
2023-04-05
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作