An LLM Assistant for Software Project Onboarding

New developers commonly join software teams for projects in the advanced stages of development. They frequently face barriers, especially in software comprehension, that impede their ability to make early contributions. To aid newcomers in understanding software projects, we have developed an LLM-based tool called SPAC-B that can answer software project-specific questions. In this study, a case study is conducted to investigate the accuracy of SPAC-B's answers to common developer questions when resolving issues on two open-source projects regarding relevance, completeness, and correctness. On a Likert scale (1–5), answers from SPAC-B scored a mean of 4.6 in relevance and 4.3 in completeness and correctness. An experiment with ten software developers is performed to further examine SPAC-B's ability to help newcomers formulate plans for resolving real-life open-source issues. Results show that the participants could make a better implementation plan with the use of SPAC-B and 8/10 participants found the tool to be helpful.

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Publication Details

Published
2025-06-23
DOI
https://doi.org/10.1145/3696630.3728719
Primary Topic
Software Engineering Research
Type
article
Field-Weighted Citation Impact
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An LLM Assistant for Software Project Onboarding

Felix Dobslaw, Rodi Jolak, Knud Ronau Larsen, Magnus Edvall et al.
Software Engineering Research
article

An LLM Assistant for Software Project Onboarding

Felix Dobslaw, Rodi Jolak, Knud Ronau Larsen, Magnus Edvall, Truong Ho-Quang
article en

Abstract

New developers commonly join software teams for projects in the advanced stages of development. They frequently face barriers, especially in software comprehension, that impede their ability to make early contributions. To aid newcomers in understanding software projects, we have developed an LLM-based tool called SPAC-B that can answer software project-specific questions. In this study, a case study is conducted to investigate the accuracy of SPAC-B's answers to common developer questions when resolving issues on two open-source projects regarding relevance, completeness, and correctness. On a Likert scale (1–5), answers from SPAC-B scored a mean of 4.6 in relevance and 4.3 in completeness and correctness. An experiment with ten software developers is performed to further examine SPAC-B's ability to help newcomers formulate plans for resolving real-life open-source issues. Results show that the participants could make a better implementation plan with the use of SPAC-B and 8/10 participants found the tool to be helpful.

Mid Sweden University (SE)
Industry, innovation and infrastructure
Openalex Percentile: Top 73%
Software Engineering Research
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