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Open access

Towards Human-Bot Collaborative Software Architecting with ChatGPT

Authors:

Muhammad Waseem,

Mahdi Fahmideh,

Mst Shamima Aktar,

Tommi MikkonenAuthors Info & Claims

EASE '23: Proceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering

Pages 279 - 285

https://doi.org/10.1145/3593434.3593468

Published: 14 June 2023 Publication History

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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.

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Da Silva GCazella S(2024)Large language model para geração de prontuários eletrônicos sintéticosLarge language model to generate synthetic electronic medical recordsLarge language model para generar registros médicos electrónicos sintéticosJournal of Health Informatics10.59681/2175-4411.v16.iEspecial.2024.127516:EspecialOnline publication date: 19-Nov-2024
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Venugopal K(2024)Exploring Gen Z Perspectives Toward ChatGPT in Academic ContextsAI Algorithms and ChatGPT for Student Engagement in Online Learning10.4018/979-8-3693-4268-8.ch004(51-69)Online publication date: 28-May-2024
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M. BN. RL. N. DSahoo SAnkanahalli Shankaregowda SKannanugo NM. DM. V(2024)AI-Enhanced Leadership Decision Support System Using ChatGPT for Ethical LearningImpact of New Technology on Next-Generation Leadership10.4018/979-8-3693-1946-8.ch008(137-161)Online publication date: 3-Jun-2024
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Index Terms

Towards Human-Bot Collaborative Software Architecting with ChatGPT
1. Computer systems organization
  1. Dependable and fault-tolerant systems and networks
    1. Redundancy
  2. Embedded and cyber-physical systems
    1. Embedded systems
    2. Robotics
2. Networks
  1. Network properties
    1. Network reliability

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cover image ACM Other conferences

EASE '23: Proceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering

June 2023

544 pages

ISBN:9798400700446

DOI:10.1145/3593434

Copyright © 2023 Owner/Author.

This work is licensed under a Creative Commons Attribution International 4.0 License.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 June 2023

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Short-paper
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EASE '23

EASE '23: The International Conference on Evaluation and Assessment in Software Engineering

June 14 - 16, 2023

Oulu, Finland

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Overall Acceptance Rate 71 of 232 submissions, 31%

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Cited By

Da Silva GCazella S(2024)Large language model para geração de prontuários eletrônicos sintéticosLarge language model to generate synthetic electronic medical recordsLarge language model para generar registros médicos electrónicos sintéticosJournal of Health Informatics10.59681/2175-4411.v16.iEspecial.2024.127516:EspecialOnline publication date: 19-Nov-2024
https://doi.org/10.59681/2175-4411.v16.iEspecial.2024.1275
Venugopal K(2024)Exploring Gen Z Perspectives Toward ChatGPT in Academic ContextsAI Algorithms and ChatGPT for Student Engagement in Online Learning10.4018/979-8-3693-4268-8.ch004(51-69)Online publication date: 28-May-2024
https://doi.org/10.4018/979-8-3693-4268-8.ch004
M. BN. RL. N. DSahoo SAnkanahalli Shankaregowda SKannanugo NM. DM. V(2024)AI-Enhanced Leadership Decision Support System Using ChatGPT for Ethical LearningImpact of New Technology on Next-Generation Leadership10.4018/979-8-3693-1946-8.ch008(137-161)Online publication date: 3-Jun-2024
https://doi.org/10.4018/979-8-3693-1946-8.ch008
Al Naqbi HBahroun ZAhmed V(2024)Enhancing Work Productivity through Generative Artificial Intelligence: A Comprehensive Literature ReviewSustainability10.3390/su1603116616:3(1166)Online publication date: 30-Jan-2024
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Kokol P(2024)The Use of AI in Software Engineering: A Synthetic Knowledge Synthesis of the Recent Research LiteratureInformation10.3390/info1506035415:6(354)Online publication date: 14-Jun-2024
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Sengul CNeykova RDestefanis G(2024)Software engineering education in the era of conversational AI: current trends and future directionsFrontiers in Artificial Intelligence10.3389/frai.2024.14363507Online publication date: 29-Aug-2024
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Rodriguez DLawrence KGonzalez JBrandfield-Harvey BXu LTasneem SLevine DMann D(2024)Leveraging Generative AI Tools to Support the Development of Digital Solutions in Health Care Research: Case StudyJMIR Human Factors10.2196/5288511(e52885)Online publication date: 6-Mar-2024
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Lambiase SCatolino GPalomba FFerrucci F(2024)Motivations, Challenges, Best Practices, and Benefits for Bots and Conversational Agents in Software Engineering: A Multivocal Literature ReviewACM Computing Surveys10.1145/3704806Online publication date: 20-Nov-2024
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