The proposed LLM-based multi-agent system automates qualitative data analysis process, creating opportunities for researchers and practitioners, and future improvements focus on enhancing multilingual performance and integrating continuous expert feedback.
Z. Rasheed, Muhammad Waseem, Aakash Ahmad et al.· arXiv.org· 41 citations
The vision is to leverage the capabilities of multiple GPT agents to contribute to SE tasks and to propose an initial road map for future work, arguing that multiple G PT agents can perform creative and demanding tasks far beyond coding and debugging.
Z. Rasheed, Muhammad Waseem, Kai-Kristian Kemell et al.· XP Workshops· 34 citations· ⚡2
In this chapter, the results of a multi-vocal literature review are presented to offer 118 metrics practitioner experts think software startups should measure that can give you ideas for what your startup should measure.
Kai-Kristian Kemell, Xiaofeng Wang, Anh Nguyen-Duc et al.· 0 citations
This work investigates how Drupal’s open source community uses Twitter, a household-name in microblogging, and reveals that both serve as communicators of essential links to a vast and growing community knowledge base.
Xiaofeng Wang, Ilona Kuzmickaja, Klaas-Jan Stol et al.· 2 citations
The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.
Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al.· arXiv.org· 62 citations· ⚡3
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