Alexander Quispe, Rodrigo Grijalba
arXiv 16 Jun 2024 · cs.SE
arXiv:2406.11046 · PDF · DOI · OpenAlex · Extracted main text
Advancements in Artificial Intelligence, particularly with ChatGPT, have significantly impacted software development. Utilizing novel data from GitHub Innovation Graph, we hypothesize that ChatGPT enhances software production efficiency. Utilizing natural experiments where some governments banned ChatGPT, we employ Difference-in-Differences (DID), Synthetic Control (SC), and Synthetic Difference-in-Differences (SDID) methods to estimate its effects. Our findings indicate a significant positive impact on the number of git pushes, repositories, and unique developers per 100,000 people, particularly for high-level, general purpose, and shell scripting languages. These results suggest that AI tools like ChatGPT can substantially boost developer productivity, though further analysis is needed to address potential downsides such as low quality code and privacy concerns.
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The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Abadie, A., Diamond, A. and Hainmueller, J (2010) Synthetic control methods for comparative case studies: Estimating the effect of california’s tobacco control program | 0.405 | 1 | 1 | 100% |
| 2 | Abu Jaber, M., Beganovic, A. and Abd Almisreb, A (2023) Methods and applications of chatgpt in software development: A literature review | 0.405 | 1 | 1 | 100% |
| 3 | Ahmad, A., Waseem, M., Liang, P., Fahmideh, M., Aktar, M. S. and Mik… (2023) Towards human-bot collaborative software architecting with chatgpt | 0.405 | 1 | 1 | 100% |
| 4 | Arkhangelsky, D., Athey, S., Hirshberg, D. A., Imbens, G. W. and Wag… (2021) Synthetic difference-in-differences | 0.405 | 1 | 1 | 100% |
| 5 | Badini, S., Regondi, S., Frontoni, E. and Pugliese, R (2023) Assessing the capabilities of chatgpt to improve additive manufacturing troubleshooting | 0.405 | 1 | 1 | 100% |
| 6 | Clarke, D., Pailañir, D., Athey, S. and Imbens, G (2023) Synthetic difference-in-differences estimation | 0.405 | 1 | 1 | 100% |
| 7 | Del Rio-Chanona, M., Laurentsyeva, N. and Wachs, J (2023) Are large language models a threat to digital public goods? evidence from activity on stack overflow | 0.405 | 1 | 1 | 100% |
| 8 | Demicri, O., Hannane, J. and Zhu, X (2023) Who is ai replacing? the impact of generative ai on online freelancing platforms | 0.405 | 1 | 1 | 100% |
| 9 | Gallea, Q (2023) From mundane to meaningful: Ai's influence on work dynamics – evidence from chatgpt and stack overflow | 0.405 | 1 | 1 | 100% |
| 10 | Jalil, S., Rafi, S., LaToza, T. D., Moran, K. and Lam, W (2023) Chatgpt and software testing education: Promises & perils | 0.405 | 1 | 1 | 100% |
Showing the top 10 of 20 scored citations.