Prompt Engineering Impacts to Software Test Architectures for Beginner to Experts

被引:0
|
作者
Hagar, Jon [1 ]
Masuda, Satoshi [2 ]
机构
[1] Grand Software Testing GST, Hot Sulphur Springs, CO 80451 USA
[2] Tokyo City Univ, Informat, Yokohama, Kanagawa, Japan
关键词
Software Test Architecture (STA); Artificial Intelligence (AI); Prompt Engineering; Student-Tester/Designer Learning and Skills;
D O I
10.1109/ICSTW60967.2024.00034
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Interest in Artificial Intelligence is everywhere today, including mass media news articles, government research, academic writing, industry usage, and student learning assignments. AI will impact software, testing and related concepts such as software test environments and architectures. This paper presents a consideration of AI regarding test engineering concepts. The focus is on a concept supporting AI called prompt engineering, which helps people and testers using AI get better results. AI cannot be expected to help solve software test engineering problems without proper prompting. The paper introduces the AI concepts and relationships to historical testing. Actual example prompts are explored with implications and results. People learning prompt engineering to support testing will include students and active test engineer designers. While this paper is just a beginning on the test support concept of prompt engineering, future work is considered.
引用
收藏
页码:116 / 121
页数:6
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