Listen to this interview of Zejun Zhang, Research Scientist, Nanyang Technological University, Singapore. We talk about her coauthored paper Hard to Read and Understand Pythonic Idioms? DeIdiom and Explain Them in Non-Idiomatic Equivalent Code (ICSE 2024).

Zejun Zhang : "Following my presentation of the paper at ICSE, it was interesting. I mean, there was, first off, a lot of positive response, but then some people in the audience were asking why we would research the readability of Pythonic idioms, and also, why we would translate those idioms into non-idiomatic code. Now, these questions were coming in relation to our previous work on idiomatic code. Nonetheless, the effect for me was that, for future work, we need to further explore this line of the research and really explain Pythonic idioms so that developers can deeply understand them."

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Listen to this interview of Roberto Verdecchia, Assistant Professor, University of Florence, Italy; and also, Per Runeson, Professor, Lund University, Sweden. We talk about their coauthored papers Threats to Validity in Software Engineering Research: A Critical Reflection (IST 2023) and Threats to Validity in Software Engineering — hypocritical paper section or essential analysis? (ESEM 2024).

Per Runeson : "I think what we've seen in our work here on threats to validity — and it was certainly our intention in conducting it in the first place — is, to have the researcher take the initiative and really adopt a reflective attitude. Because, research is not only about investigating facts and testing hypotheses. It's also about reflecting on the learning process, and it's about the extent to which you can trust what you've learned in doing that research, but also it's about the way forward from there, that is, how do we take the work forward into the future."

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Listen to this interview of Nan Jiang, PhD candidate, and Lin Tan, Professor — both at Purdue University. We talk about their coauthored paper Impact of Code Language Models on Automated Program Repair (ICSE 2023).

Lin Tan : "In my research group, the procedure in every project is to write the Introduction early — very early, in fact. It's the first section I have my researchers think about, actually. Because, you know, a lot of people will imagine that the approach section is where you begin — basically, to write exactly what it is that you did. But the advantage of beginning at the Introduction is that you clarify the contributions, you define the problem and also understand well your reason for tackling it. So, typically some three months before the deadline, I have my researchers really start sketching the Introduction in the manuscript."

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Listen to this interview of Jenny Liang, PhD student, Carnegie Mellon University. We talk about her coauthored paper A Qualitative Study on the Implementation Design Decisions of Developers (ICSE 2023).

Jenny Liang : "When it comes to selecting specific results or codes, I like to think about it in terms of what was surprising. So, maybe it's not so surprising that people think about requirements when making these implementation design decisions — and that's why we didn't talk about that. But what will be interesting, for example, is the fact that they think about future requirements that might come down the pipeline — and so, that's why we selected that. So, that is one heuristic, for me, basically: know what the prior literature is, know what the relevant community believe — and then cater to that."

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Listen to this interview of Yun Peng, Research Associate, Chinese University of Hong Kong, China; and also, Cuiyun Gao, Associate Professor, Harbin Institute of Technology, China. We talk about their coauthored paper Static Inference Meets Deep Learning: A Hybrid Type Inference Approach for Python (ICSE 2022).

Yun Peng : "And I remember the reviewers at ICSE commenting how they never imagined solving the type-inference problem in just this way. So, for me, the takeaway here, is: When we are conducting research or writing a paper or solving a technical problem, we do well to look into life and draw inspiration from there to do the work — because I know we can be greatly inspired by the things just around us in our everyday lives."

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Listen to this interview of Sterre van Breukelen, engineer, Eindhoven University of Technology, Netherlands; and Ann Barcomb, Assistant Professor, University of Calgary, Canada; and Sebastian Baltes, Full Professor, University of Bayreuth, Germany; and Alexander Serebrenik, Full Professor, Eindhoven University of Technology, Netherlands. We talk about their coauthored paper "STILL AROUND": Experiences and Survival Strategies of Veteran Women Software Developers (ICSE 2023).

Alexander Serebrenik : "It's a typical criticism of any human-factors study in software engineering, namely: What makes software engineers any different than any other human being — could a study have been conducted, say, with nurses or judges or whichever other professional category you can imagine. Therefore, in this paper "STILL AROUND" it was crucial for us to present clearly in the Introduction what it is that makes software engineers somehow special with respect to gender and age. Because otherwise, we would have struggled to convince researchers to devote any attention to the topic."

Link to paper that Alexander and Sebastian refer to as one of the seeds for this paper, "STILL AROUND"

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Listen to this interview of Roberto Verdecchia, Assistant Professor, University of Florence, Italy; and also, Luís Cruz, Assistant Professor, Delft University of Technology, Netherlands. We talk about their coauthored paper A systematic review of Green AI (WIREs Data Mining and Knowledge Discovery 2023).

Luís Cruz : "Sometimes, especially in systematic studies, we are so worried about the process that we forget about the goals of why we're doing this. That means, we can end up reporting things just because they are part of the process — you know, we feel a need to say something about all that — but really, that way of reporting just produces a review that's a big bulk of highly systematic outputs, but not necessarily a review with relevant and useful findings."

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Listen to this interview of Nicholas Boucher, PhD, Department of Computer Science and Technology, Cambridge University, UK. We talk about his coauthored paper Bad Characters: Imperceptible NLP Attacks (SP 2022) — and check out, too, Nicholas's presentation of the paper here.

Nicholas Boucher: "Maybe what is interesting about the security domain is that, oftentimes, in these attack papers, you start with a hypothesis, but it's an hypothesis already informed by some result you've observed in the wild — so, you've seen some sort of system — or, to be concrete, in our case, we saw people switching between alphabets on keyboards, and that enabled us to notice how such an action could interact with the language models quickly growing in popularity — and it is at that point that a security researcher will say, 'Wow, I have something here. I know that this is a vulnerability.' But then the questioning begins, like, how to frame the vulnerability, that is, how to turn one specific example (which the researcher has a strong feeling really is a vulnerability) and uplevel it to something larger. Because that is when, in my opinion, the researcher's starting to ask very fruitful questions."

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Listen to this interview of Floris Gorter, PhD student, and Cristiano Giuffrida, Associate Professor — both at Vrije Universiteit Amsterdam, Netherlands. We talk about their coauthored paper Sticky Tags: Efficient and Deterministic Spatial Memory Error Mitigation using Persistent Memory Tags (SP 2024).

Cristiano Giuffrida : "But apart from applying for positions on PCs, early-career researchers can also learn the linguistic norms of their community by reading. Good researchers just read a lot of papers — papers from across their broader communities, and especially papers from the top venues where the communities publish. Because by doing that, you learn the language — you start seeing and understanding the patterns in communication. Like, 'Oh, people write the Introduction like this' — you know, there's a problem statement, and there's emphasis placed on this and that, and there are certain keywords that convey certain drifts. So, you begin picking up the language."

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Listen to this interview of Alfonso de la Vega, Assistant Professor, Software Engineering and Real-Time Group, University of Cantabria, Spain. We talk about his coauthored paper FLEXMI: a generic and modular textual syntax for domain-specific modelling (SOSYM 2023).

Alfonso de la Vega : "Yeah, we never really get the whole story in just the paper that presents the tool. There is so much work behind that — getting software that's good enough and also valid, so that it supports a research article, and then from there, to get to the point where the software is used in industry (as Epsilon is used) — that takes a lot of added work, a lot of cross-institute collaboration, a lot of dedication."

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