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Hashtag
#SEResearch
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Recent papers on LLMs or AI and software engineering published in ACM TOSEM: a thread
#SEResearch
LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision, and the Road Ahead
dl.acm.org/doi/10.1145/...
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Where are they now?
Dr Xiaoyu Sun is now a Lecturer @ANU, leading impactful research in software security & AI4SE.
She’s:
🔹 published 25+ papers
🔹 built tools like SEEKER (9,905 sensor leaks detected!)
🔹 co-leading a $977K project w/ CSIRO
And still collaborating with us!
#SEresearch #PhDAlumni
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I added chapters to
36: Software Security with Laurie Williams (North Carolina State University)
#SEResearch
www.youtube.com/watch?v=WyTO...
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ICSE 2025 starts tomorrow!
I wish I could be there.
Follow @icseconf.bsky.social
#SEresearch #SoftwareEngineeringResearch
🔗 conf.researchr.org/home/icse-2025
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Podcasts in SE Research? take our 10-minute survey https://www.soscisurvey.de/se-podcasts/
🎧 Podcasts & software engineering research — a match?
Whether you're a fan or a skeptic, we (Marvin Wyrich, Adolfo Neto, Sven Apel, and Marcos Kalinowski) want to hear from you.
👉 Take the survey (~10 min): bit.ly/PodcastSERes...
Thanks in advance for the support and for sharing!
#SEResearch
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![Based on this comparison, we now present the definition of
qualitative surveys as proposed by Jansen [7] that we suggest
to be used in the SE domain:
Qualitative surveys are research methods aiming
to identify the diversity of characteristic values,
rather than measuring their distribution, in a targeted population.](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:fodyg35g25joa5rpplt4y43g/bafkreiheka54evster7sixfe7xhyd26dahq6al5tjkeotjhgueqkbvy2gm)
Based on this comparison, we now present the definition of qualitative surveys as proposed by Jansen [7] that we suggest to be used in the SE domain: Qualitative surveys are research methods aiming to identify the diversity of characteristic values, rather than measuring their distribution, in a targeted population.
Qualitative Surveys in Software Engineering Research: Definition, Critical Review, and Guidelines
Jorge Melegati; Kieran Conboy; Daniel Graziotin
Full paper at bit.ly/4ldTaoC
#SEResearch
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**Lionel Briand** *Just to state the obvious...* Our job as software engineering researchers is to devise, following the scientific method, the simplest, most practical novel solutions possible to software development challenges, not to write papers to impress our peers with complexity or whatever is the trend of the day. Those solutions don't have to work everywhere; they can be based (and usually are) on realistic working assumptions, but they have to work somewhere. --- **Carlo Ghezzi** I totally agree. Researchers are confusing ends (doing good research) with means (writing papers). I see people who co-author dozens of papers x year. Do they have time to read them carefully, let alone contributing? We must stop the crazy wheel! **Lionel Briand** Carlo Ghezzi This is another issue I did not dwell on in my post but many prominent members of our community are engaged in questionable—if not outright corrupt—publication practices. One very important job is also to train highly qualified personnel.
There are some people discussing important software engineering research topics on Facebook
#SEResearch
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Can we say that Brazil is one of the leading countries in research on Human Aspects in Software Engineering with so many papers published at CHASE?
#SEResearch
conf.researchr.org/home/chase-2...
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"You are planning to organize a summer or winter school focused on certain aspects of software engineering? Then apply for financial support at ACM SIGSOFT until April 16, 2025!
💡Find more details in the Call for 2025–26 Summer/Winter School"
#SEResearch
sigsoft.medium.com/sigsoft-call...
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Journal of Software Engineering Research and Development ADoTe: Approach to teaching and learning functional testing technique criteria supported by Testing Dojo Authors Vladimir Belinski Universidade Tecnológica Federal do Paraná https://orcid.org/0000-0001-9254-4694 Adolfo G. Serra Seca Neto Universidade Tecnológica Federal do Paraná https://orcid.org/0000-0002-0260-5922 Maria Claudia Emer Universidade Tecnológica Federal do Paraná https://orcid.org/0000-0002-0963-1891
Context: Students of computer science and related courses (including those who have already graduated) often have knowledge gaps on software testing and low levels of motivation and interest in learning this subject. Functional testing technique criteria, for example, are usually required and used in industry, but their teaching still needs support. Faced with the problems caused by such gaps and a historical shortage of qualified testing professionals, improvements in testing education are demanded by the industry for the academy. Dojos may contribute in this context since positive results are usually reported regarding their impact on the motivation and perception of learning of students. However, their use is still little explored in the testing area.
Objective: In this study we aimed to define and evaluate an approach supported by testing dojo to teaching and learning functional testing technique criteria in higher education. Methods: We defined the approach (named ADoTe) iteratively, supported by literature data and by quali-quantitative analysis of the results of two executions of a controlled experiment that evaluated the impact of ADoTe (compared to a traditional teaching approach) on the learning (measured by knowledge tests) and motivation (measured by a questionnaire named Intrinsic Motivation Inventory (IMI)) of students. Results: From the analysis of data collected from 44 participants we noticed that, although the averages for learning and general motivation of the groups submitted to ADoTe were greater than those of the groups submitted to a traditional teaching approach, it was not possible to state that, for these variables, there was a statistically significant difference between the approaches evaluated. However, the results of the IMI subscale related to intrinsic motivation were statistically significant, indicating that students feel more interest/enjoyment in learning functional testing technique criteria through ADoTe (the averages of the groups submitted to ADoTe were 15.80% and 19.71% higher than those of the control groups). Additionally, the results of thematic analyses carried out on the answers to a retrospective questionnaire showed that ADoTe was well accepted by students and reinforced the importance of its steps and guidelines. Conclusion: ADoTe positively impacts the learning and motivation of students and, compared to traditional teaching, tends to lead to greater levels of interest/enjoyment in learning functional testing technique criteria.
ADoTe: Approach to teaching and learning functional testing technique criteria supported by Testing Dojo
#SEResearch
journals-sol.sbc.org.br/index.php/js...
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The Perspective of Agile Software Developers on Data Privacy
Mariana Peixoto, Tony Gorschek, Daniel Mendez, @carlataciana.bsky.social , Davide Fucci
#SEResearch #Agile
onlinelibrary.wiley.com/doi/abs/10.1...
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Generative AI and Empirical Software Engineering:
A Paradigm Shift
New paper by Christoph Treude and Margaret-Anne Storey
#SEResearch
bit.ly/41ilnCy
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Four new articles on the Journal of Software Engineering and Research Development (JSERD) page, which is a fully open access journal. Just choose the article and download the PDF.
#SEResearch
bit.ly/3X5IC0i
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The ABC of Software Engineering Research & The Role of Theory
Klaas-Jan Stol
In English (although it starts in Portuguese)
#SEResearch
bit.ly/4hG00RC
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Brand new
Journal of Software Engineering Research and Development
papers
#SEResearch
Characterizating the Participation of the LGBTQIA+ Community on GitHub
journals-sol.sbc.org.br/index.php/js...
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Qualitative Research in Software Engineering: A Retrospective
A podcast episode generated by NotebookLM from Carolyn Seaman, Rashina Hoda, Robert Feldt's IEEE Transactions on Software Engineering preprint
#SEResearch
bit.ly/4hUdUPG
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Qualitative Research Methods in Software Engineering: Past, Present, and Future
#SEResearch
bit.ly/4htgo7G
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"Join us in exploring how AI might transform end-to-end software systems development workflows at the Int Workshop on Envisioning the AI-Augmented Software Development Life Cycle at FSE
Due date: March 4, 2025:
tinyurl.com/ai-sdlc
A special issue in ASE Journal to follow
Ipek Ozkaya"
#SEResearch
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Analyzing the Correlation Between Toxic Comments and Code Quality
Jaime Sayago-Heredia, Gustavo Chango Sailema, Ricardo Pérez-Castillo, Mario Piattini
#SEResearch
bit.ly/4hPkqat
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Call for papers: Advancing Software Engineering with Large Language Models
Guest Editors
Lucia Passaro, University of Pisa, Italy
Humberto Torres Marques-Neto, Pontifical Catholic University of Minas Gerais, Brazil
Marco Tulio Valente, UFMG, Brazil
#SEResearch
bit.ly/414YKSb
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The event will take place in Honolulu, USA, from Sep. 29 to Oct 3. Fábio Silva and Valentina Lenarduzzi are the Program Co-Chairs and would like to encourage the entire Software Engineering community to submit papers to the various tracks of the event.
#SEResearch
conf.researchr.org/home/esem-2025
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A Call for Critically Rethinking and Reforming Data Analysis in Empirical Software Engineering
Matteo Esposito, Mikel Robredo, Murali Sridharan, Guilherme Horta Travassos, Rafael Peñaloza, Valentina Lenarduzzi
#SEResearch
https://bit.ly/4h7RZo4
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A Call for Critically Rethinking and Reforming Data Analysis in Empirical Software Engineering
Matteo Esposito, Mikel Robredo, Murali Sridharan, Guilherme Horta Travassos, Rafael Peñaloza, Valentina Lenarduzzi
#SEResearch
https://bit.ly/4h7RZo4
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A fine-grained taxonomy of code review feedback in TypeScript projects
Published: 14 January 2025
Volume 30, article number 53, (2025)
#SEResearch
https://bit.ly/3WsSBfE
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A Serious Game Approach to Introduce the Code Review Practice
Baris Ardic, Eray Tuzun
#SEResearch
#OpenAccess
onlinelibrary.wiley.com/doi/full/10.1002/smr.275...
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Different approaches for testing body sensor network applications
Samira Silva,
Ricardo Caldas,
Patrizio Pelliccione,
Antonia Bertolino
#SEResearch
doi.org/10.1016/j.js...
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"Our review systematically discovered 38 XOps terms and 13 well-studied XOps including AIOps, BizDevOps, CloudOps, DataOps, DevSecOps, FinOps, GitOps, MLOps, ModelOps, NetDevOps, NoOps, SecDevOps and TwinOps."
#SEResearch
www.sciencedirect.com/science/arti...
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