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P2 Challenges and pitfalls on surveying evidence in the software engineering technical literature

软件工程技术文献中证据调查的挑战与陷阱
ICSE Proceedings of the 40th International Conference on Software Engineering2018匹配度 1/10 · 该论文讨论软件工程实践者从技术文献中搜集证据的挑战与陷阱,属于循证软件工程的方法论研究,与用户关注的PL/AI静态分析、LLM/Agent、浮点程序分析、贝叶斯程序分析等方向均无直接关联。引用 0 inbox
Talita Vieira Ribeiro, Jobson Massollar, Guilherme Horta Travassos
crossref: 2026-09-12

AI 速览

一句话:讨论实践者在软件工程技术文献中搜集证据以支持技术采纳时遇到的挑战与陷阱。

本文关注基于证据的软件工程(evidence-based software engineering)实践。该理念倡导软件工程师利用科学证据来支持工业软件开发与维护项目中的技术采用决策。然而,除了工业环境中科学知识不可得以及获取软件工程领域证据所需时间较长之外,还有额外挑战阻碍实践者——尤其是缺乏研究经验的实践者——从科学来源收集知识以支持其软件项目全程的决策。文章围绕这些挑战与陷阱展开讨论,但摘要未说明具体调查方法、实证评估方式或所得结果。

问题
基于证据的软件工程倡导用科学证据支持工业软件项目的技术采用,但实践者难以从科学文献中有效收集知识以辅助决策。
方法
摘要未描述具体研究方法,文章以挑战与陷阱为主题进行讨论。
评估
摘要未报告评估方式、实证研究或案例结果。
原文摘要(Abstract)

The evidence-based software engineering approach advocates the use of scientific evidence by software engineers to support the adoption of software technologies in industrial software development and maintenance projects. Aside from the unavailability of scientific knowledge in industrial settings and the time required to acquire evidence in the software engineering (SE) field, additional challenges prevent practitioners, mainly those that are not experienced in research, from collecting knowledge from scientific sources to support the decisionmaking throughout their software projects.

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DOI 原文 ·

BibTeX
@inproceedings{paperbot4421,
  title = {Challenges and pitfalls on surveying evidence in the software engineering technical literature},
  author = {Talita Vieira Ribeiro and Jobson Massollar and Guilherme Horta Travassos},
  booktitle = {ICSE},
  year = {2018},
  doi = {10.1145/3180155.3182557}
}