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Topnotch Will Out — When You Persist and See It Through

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Manage episode 456803892 series 2917054
Content provided by New Books Network. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by New Books Network or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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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389 episodes

Artwork
iconShare
 
Manage episode 456803892 series 2917054
Content provided by New Books Network. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by New Books Network or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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."

Learn more about your ad choices. Visit megaphone.fm/adchoices

  continue reading

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