Prompt Engineering Impacts to Software Test Architectures for Beginner to Experts
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.
Tue 28 MayDisplayed time zone: Eastern Time (US & Canada) change
14:00 - 15:30 | |||
14:00 10mTalk | Welcome and Opening Messages InSTA 2024 InSTA | ||
14:10 30mResearch paper | Design and construction of requirement specifications ambiguity detection support method InSTA | ||
14:40 30mIndustry talk | Prompt Engineering Impacts to Software Test Architectures for Beginner to Experts InSTA Jon D. Hagar Grand Software Testing, LLC, Hot Sulphur Springs, CO, Satoshi Masuda Tokyo City University | ||
15:10 20mTalk | Information exchange in InSTA. (free discussion) InSTA |