We introduce API Pack, a massive multi-programming language dataset containing over one million instruction-API calls for improving the API call generation capabilities of large language models. Our evaluation highlights three key findings: First, fine-tuning on API Pack enables open-source models to outperform GPT-3.5 and GPT-4 in generating code for entirely new API calls. We show this by fine-tuning CodeLlama-13B on 20,000 Python instances from API Pack. Second, fine-tuning on a large dataset in one language, combined with smaller datasets from others, improves API generation accuracy across multiple languages. Third, we confirm the benefits of larger datasets for API generalization, as increasing fine-tuning data to one million instances enhances generalization to new APIs. To support further research, we open-source the API Pack dataset, trained model, and code at https://github.com/zguo0525/API-Pack.

A type of meeting that has been understudied in the software engineering literature to date is what we term the software maintenance meeting: a regularly scheduled team meeting in which emergent issues are addressed that are usually out of scope of the daily stand-up but not necessarily challenging enough to warrant an entirely separate meeting. These meetings tend to discuss a wide variety of topics and are crucial in keeping software development projects going, but little is known about these meetings and how they proceed. In this paper, we report on a single exploratory case study in which we analyzed ten consecutive maintenance meetings from a major healthcare software provider. We analyzed what kind of information is brought into the discussions held in these meetings and how, what outcomes arose from the discussions, and what information was captured for downstream use. Our findings are varied, giving rise to both practical considerations for those conducting these kinds of meetings and new research directions toward further understanding and supporting them.

Meetings are a frequent part of life for a software developer. Software design is often performed, discussed, and reviewed in these meetings. This means that meetings may contain important design information that could be captured for later use. Meeting design tools may be a way to capture design information as a byproduct of discussion that arises in these meetings. In this paper, we identify a list of key meeting support tool features that could support the capture and retrieval of design information and compare these to features currently offered in commercial meeting support tools.