Towards Human-Bot Collaborative Software Architecting with ChatGPT

Paper

Ahmad, Aakash, Waseem, Muhammad, Liang, Peng, Fahmideh, Mahdi, Aktar, Mst Shamima and Mikkonen, Tommi. 2023. "Towards Human-Bot Collaborative Software Architecting with ChatGPT." 27th International Conference on Evaluation and Assessment in Software Engineering (EASE 2023). Oulu, Finland 14 - 16 Jun 2023 United States. https://doi.org/10.1145/3593434.3593468
Paper/Presentation Title

Towards Human-Bot Collaborative Software Architecting with ChatGPT

Presentation TypePaper
AuthorsAhmad, Aakash, Waseem, Muhammad, Liang, Peng, Fahmideh, Mahdi, Aktar, Mst Shamima and Mikkonen, Tommi
Journal or Proceedings TitleProceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering (EASE 2023)
Journal Citationpp. 279-285
Number of Pages7
Year2023
Place of PublicationUnited States
ISBN9798400700446
Digital Object Identifier (DOI)https://doi.org/10.1145/3593434.3593468
Web Address (URL) of Paperhttps://dl.acm.org/doi/abs/10.1145/3593434.3593468
Web Address (URL) of Conference Proceedingshttps://dl.acm.org/doi/proceedings/10.1145/3593434
Conference/Event27th International Conference on Evaluation and Assessment in Software Engineering (EASE 2023)
Event Details
27th International Conference on Evaluation and Assessment in Software Engineering (EASE 2023)
Parent
International Conference on Evaluation and Assessment in Software Engineering
Delivery
In person
Event Date
14 to end of 16 Jun 2023
Event Location
Oulu, Finland
Rank
A
A
A
A
Abstract

Architecting software-intensive systems can be a complex process. It deals with the daunting tasks of unifying stakeholders’ perspectives, designers’ intellect, tool-based automation, pattern-driven reuse, and so on, to sketch a blueprint that guides software implementation and evaluation. Despite its benefits, architecture-centric software engineering (ACSE) suffers from a multitude of challenges. ACSE challenges could stem from a lack of standardized processes, socio-technical limitations, and scarcity of human expertise etc. that can impede the development of existing and emergent classes of software. Software Development Bots (DevBots) trained on large language models can help synergise architects’ knowledge with artificially intelligent decision support to enable rapid architecting in a human-bot collaborative ACSE. An emerging solution to enable this collaboration is ChatGPT, a disruptive technology not primarily introduced for software engineering, but is capable of articulating and refining architectural artifacts based on natural language processing. We detail a case study that involves collaboration between a novice software architect and ChatGPT to architect a service-based software. Future research focuses on harnessing empirical evidence about architects’ productivity and explores socio-technical aspects of architecting with ChatGPT to tackle challenges of ACSE.

KeywordsHuman-Bot; ChatGPT
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020460999. Information systems not elsewhere classified
Byline AffiliationsLeipzig University, Germany
University of Jyvaskyla, Finland
Wuhan University, China
School of Business
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