Scoping Software Engineering for AI: The TSE Perspective

Sebastian Uchitel; Marsha Chechik; Massimiliano Di Penta; Bram Adams; Nazareno Aguirre; Gabriele Bavota; Domenico Bianculli; Kelly Blincoe; Ana Cavalcanti; Yvonne Dittrich; Filomena Ferrucci; Rashina Hoda; LiGuo Huang; David Lo; Michael R.  Lyu; Lei Ma; Jonathan I. Maletic; Leonardo Mariani; Collin McMillan; Tim Menzies; Martin Monperrus; Ana Moreno; Nachiappan Nagappan; Liliana Pasquale; Patrizio Pelliccione; Michael Pradel; Rahul Purandare; Sukyoung Ryu; Mehrdad Sabetzadeh; Alexander Serebrenik; Jun Sun; Kla Tantithamthavorn; Christoph Treude; Manuel Wimmer; Yingfei Xiong; Tao Yue; Andy Zaidman; Tao Zhang; Hao Zhong

doi:10.1109/TSE.2024.3470368

Scoping Software Engineering for AI: The TSE Perspective

Sebastian Uchitel, Marsha Chechik, Massimiliano Di Penta, Bram Adams, Nazareno Aguirre, Gabriele Bavota, Domenico Bianculli, Kelly Blincoe, Ana Cavalcanti, Yvonne Dittrich, Filomena Ferrucci, Rashina Hoda, LiGuo Huang, David Lo, Michael R. Lyu, Lei Ma, Jonathan I. Maletic, Leonardo Mariani, Collin McMillan, Tim MenziesMartin Monperrus, Ana Moreno, Nachiappan Nagappan, Liliana Pasquale, Patrizio Pelliccione, Michael Pradel, Rahul Purandare, Sukyoung Ryu, Mehrdad Sabetzadeh, Alexander Serebrenik, Jun Sun, Kla Tantithamthavorn, Christoph Treude, Manuel Wimmer, Yingfei Xiong, Tao Yue, Andy Zaidman, Tao Zhang, Hao Zhong

Research output: Contribution to journal › Editorial › Academic › peer-review

Abstract

IEEE TSE would like to take a more nuanced approach with respect to reviewing these “SE for AI” papers. Specifically, we observe that submitted manuscripts frequently go into the depths of core AI techniques to improve them in various ways. The question that editors, reviewers, and authors themselves therefore often ask is whether some of the submitted manuscripts are a good fit for SE venues such as IEEE TSE, or would be a better fit for more AI- or ML-specialized venues instead.

Original language	English
Article number	10752650
Pages (from-to)	2709-2711
Number of pages	3
Journal	IEEE Transactions on Software Engineering
Volume	50
Issue number	11
DOIs	https://doi.org/10.1109/TSE.2024.3470368
Publication status	Published - Nov 2024

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Uchitel, S., Chechik, M., Di Penta, M., Adams, B., Aguirre, N., Bavota, G., Bianculli, D., Blincoe, K., Cavalcanti, A., Dittrich, Y., Ferrucci, F., Hoda, R., Huang, L., Lo, D., Lyu, M. R., Ma, L., Maletic, J. I., Mariani, L., McMillan, C., ... Zhong, H. (2024). Scoping Software Engineering for AI: The TSE Perspective. IEEE Transactions on Software Engineering, 50(11), 2709-2711. Article 10752650. https://doi.org/10.1109/TSE.2024.3470368

@article{251ffc16e99e41a8baa10ba76e48c1fa,

title = "Scoping Software Engineering for AI: The TSE Perspective",

abstract = " IEEE TSE would like to take a more nuanced approach with respect to reviewing these “SE for AI” papers. Specifically, we observe that submitted manuscripts frequently go into the depths of core AI techniques to improve them in various ways. The question that editors, reviewers, and authors themselves therefore often ask is whether some of the submitted manuscripts are a good fit for SE venues such as IEEE TSE, or would be a better fit for more AI- or ML-specialized venues instead.",

author = "Sebastian Uchitel and Marsha Chechik and {Di Penta}, Massimiliano and Bram Adams and Nazareno Aguirre and Gabriele Bavota and Domenico Bianculli and Kelly Blincoe and Ana Cavalcanti and Yvonne Dittrich and Filomena Ferrucci and Rashina Hoda and LiGuo Huang and David Lo and Lyu, {Michael R.} and Lei Ma and Maletic, {Jonathan I.} and Leonardo Mariani and Collin McMillan and Tim Menzies and Martin Monperrus and Ana Moreno and Nachiappan Nagappan and Liliana Pasquale and Patrizio Pelliccione and Michael Pradel and Rahul Purandare and Sukyoung Ryu and Mehrdad Sabetzadeh and Alexander Serebrenik and Jun Sun and Kla Tantithamthavorn and Christoph Treude and Manuel Wimmer and Yingfei Xiong and Tao Yue and Andy Zaidman and Tao Zhang and Hao Zhong",

year = "2024",

month = nov,

doi = "10.1109/TSE.2024.3470368",

language = "English",

volume = "50",

pages = "2709--2711",

journal = "IEEE Transactions on Software Engineering",

issn = "0098-5589",

publisher = "Institute of Electrical and Electronics Engineers",

number = "11",

}

Uchitel, S, Chechik, M, Di Penta, M, Adams, B, Aguirre, N, Bavota, G, Bianculli, D, Blincoe, K, Cavalcanti, A, Dittrich, Y, Ferrucci, F, Hoda, R, Huang, L, Lo, D, Lyu, MR, Ma, L, Maletic, JI, Mariani, L, McMillan, C, Menzies, T, Monperrus, M, Moreno, A, Nagappan, N, Pasquale, L, Pelliccione, P, Pradel, M, Purandare, R, Ryu, S, Sabetzadeh, M, Serebrenik, A, Sun, J, Tantithamthavorn, K, Treude, C, Wimmer, M, Xiong, Y, Yue, T, Zaidman, A, Zhang, T & Zhong, H 2024, 'Scoping Software Engineering for AI: The TSE Perspective', IEEE Transactions on Software Engineering, vol. 50, no. 11, 10752650, pp. 2709-2711. https://doi.org/10.1109/TSE.2024.3470368

TY - JOUR

T1 - Scoping Software Engineering for AI

T2 - The TSE Perspective

AU - Uchitel, Sebastian

AU - Chechik, Marsha

AU - Di Penta, Massimiliano

AU - Adams, Bram

AU - Aguirre, Nazareno

AU - Bavota, Gabriele

AU - Bianculli, Domenico

AU - Blincoe, Kelly

AU - Cavalcanti, Ana

AU - Dittrich, Yvonne

AU - Ferrucci, Filomena

AU - Hoda, Rashina

AU - Huang, LiGuo

AU - Lo, David

AU - Lyu, Michael R.

AU - Ma, Lei

AU - Maletic, Jonathan I.

AU - Mariani, Leonardo

AU - McMillan, Collin

AU - Menzies, Tim

AU - Monperrus, Martin

AU - Moreno, Ana

AU - Nagappan, Nachiappan

AU - Pasquale, Liliana

AU - Pelliccione, Patrizio

AU - Pradel, Michael

AU - Purandare, Rahul

AU - Ryu, Sukyoung

AU - Sabetzadeh, Mehrdad

AU - Serebrenik, Alexander

AU - Sun, Jun

AU - Tantithamthavorn, Kla

AU - Treude, Christoph

AU - Wimmer, Manuel

AU - Xiong, Yingfei

AU - Yue, Tao

AU - Zaidman, Andy

AU - Zhang, Tao

AU - Zhong, Hao

PY - 2024/11

Y1 - 2024/11

N2 - IEEE TSE would like to take a more nuanced approach with respect to reviewing these “SE for AI” papers. Specifically, we observe that submitted manuscripts frequently go into the depths of core AI techniques to improve them in various ways. The question that editors, reviewers, and authors themselves therefore often ask is whether some of the submitted manuscripts are a good fit for SE venues such as IEEE TSE, or would be a better fit for more AI- or ML-specialized venues instead.

AB - IEEE TSE would like to take a more nuanced approach with respect to reviewing these “SE for AI” papers. Specifically, we observe that submitted manuscripts frequently go into the depths of core AI techniques to improve them in various ways. The question that editors, reviewers, and authors themselves therefore often ask is whether some of the submitted manuscripts are a good fit for SE venues such as IEEE TSE, or would be a better fit for more AI- or ML-specialized venues instead.

UR - http://www.scopus.com/inward/record.url?scp=85210030431&partnerID=8YFLogxK

U2 - 10.1109/TSE.2024.3470368

DO - 10.1109/TSE.2024.3470368

M3 - Editorial

SN - 0098-5589

VL - 50

SP - 2709

EP - 2711

JO - IEEE Transactions on Software Engineering

JF - IEEE Transactions on Software Engineering

IS - 11

M1 - 10752650

ER -

Scoping Software Engineering for AI: The TSE Perspective

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