Topnotch Will Out — When You Persist and See It Through

Listen to this interview of Amir Mir, PhD candidate, Delft University of Technology, Netherlands; and of Sebastian Proksch, Assistant Professor, Delft University of Technology, Netherlands; and also of Georgios Gousios, Head of Research, Endor Labs. We talk about their coauthored paper Type4Py: Practical Deep Similarity Learning-Based Type Inference for Python (ICSE 2022).

Georgios Gousios : "Yes, we submitted and resubmitted this paper many times, but before people think this is a case of paper engineering — you know, increasing publication chances by satisfying reviewers — the truth of the matter is that the actual core content of this paper was and is topnotch — and that's not something you see with all papers. I mean, I myself have written papers that were good, sure, but not near as novel as this one, Type4Py. So, in order to get to ICSE, like we have here, the core content needs to be great, and only then, on top of that, can you begin to massage the message and so on."

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