Academic Journal
An LLM Assistant for Software Project Onboarding
| Τίτλος: | An LLM Assistant for Software Project Onboarding |
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| Συγγραφείς: | Knud Ronau Larsen, Magnus Edvall, Truong Ho-Quang, Felix Dobslaw, Rodi Jolak |
| Πηγή: | Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering. :1345-1352 |
| Στοιχεία εκδότη: | ACM, 2025. |
| Έτος έκδοσης: | 2025 |
| Θεματικοί όροι: | Retrieval-augmented Generation, Large Language Model, Programvaruteknik, Developer Questions, Open Source Projects, Software Development, Software Engineering, Onboarding, Language Model, Software Teams, Human Engineering, Large Language Models, Open Systems, Software Design, Software Project, Case-studies, Software Comprehension, Open Source Software |
| Περιγραφή: | 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. |
| Τύπος εγγράφου: | Article Conference object |
| Περιγραφή αρχείου: | application/pdf |
| DOI: | 10.1145/3696630.3728719 |
| Σύνδεσμος πρόσβασης: | http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-55436 |
| Αριθμός Καταχώρησης: | edsair.doi.dedup.....c9674b5b55114290c033da84b067aa97 |
| Βάση Δεδομένων: | OpenAIRE |
| DOI: | 10.1145/3696630.3728719 |
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