Publication Type

Conference Proceeding Article

Version

acceptedVersion

Publication Date

5-2023

Abstract

Navigating the diverse solution spaces of non-trivial software engineering tasks requires a combination of technical knowledge, problem-solving skills, and creativity. With multiple possible solutions available, each with its own set of trade-offs, it is essential for programmers to evaluate the various options and select the one that best suits the specific requirements and constraints of a project. Whether it is choosing from a range of libraries, weighing the pros and cons of different architecture and design solutions, or finding unique ways to fulfill user requirements, the ability to think creatively is crucial for making informed decisions that will result in efficient and effective software. However, the interfaces of current chatbot tools for programmers, such as OpenAI’s ChatGPT or GitHub Copilot, are optimized for presenting a single solution, even for complex queries. While other solutions can be requested, they are not displayed by default and are not intuitive to access. In this paper, we present our work-in-progress prototype “GPTCOMPARE”, which allows programmers to visually compare multiple source code solutions generated by GPT-n models for the same programming-related query by highlighting their similarities and differences.

Keywords

Chatbots, diversity, complexity, solution spaces

Discipline

Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publication

Proceedings of the 2023 IEEE/ACM 5th International Workshop on Bots in Software Engineering (BotSE), Melbourne, Australia, 2023 May 20

First Page

1

Last Page

5

ISBN

9798350302127

Identifier

10.1109/BotSE59190.2023.00008

Publisher

IEEE

City or Country

Piscataway, NJ

Additional URL

https://doi.org/10.1109/BotSE59190.2023.00008

Download

Share

COinS