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NL-based Software Engineering (NLBSE) '24
April 20th, 2024, 09:15 - 17:35 UTC+1
https://nlbse2024.github.io/
@NLBSE_workshop
Sebastiano
Panichella
Andrea
Di Sorbo
Maliheh
Izadi
General format
Presentations:
Live presentations
In-person: Rooms Maria Helena Vieira da Silva & Glicínia Quartin
Questions:
After each presentation we have allocated time for Q & A.
Participants:
- We encourage you to ask questions to the speakers
Mali
Participation (Paper Authors)
Andrea
17 submissions, 9 were accepted
6 tool competition papers
Participation (PC Members)
Andrea
Thanks to our sponsors!
IEEE Technical Community on Software Engineering
(TCSE)
ACM Special Interest Group on Software Engineering
(SIGSOFT)
Andrea
Schedule (UTC+1)
09:15 - 9:30 → Opening
09:30 - 10:30 → Live Keynote: "Neuro-Symbolic Developer Tools for Analyzing,
Executing, and Repairing Code" by Michael Pradel
10:30 - 11:00 → Break
Sebastiano Plenary Session (Maria Helena Vieira da Silva)
https://conf.researchr.org/program/icse-2024/program-icse-2024/ https://nlbse2024.github.io/
Schedule (UTC+1)
Morning Parallel Session - Maria Helena Vieira da Silva
11:00 - 12:10 → Research Session: Language and Code Dynamics:
Morning Parallel Session - Glicínia Quartin
11:00 - 12:30 → Tool Competition
→ Opening (11:00 - 11:15)
→ Tool Paper Presentations (11:15 - 12:15)
→ Closing (12:15 - 12:30)
12:30 - 14:15 → Lunch
Sebastiano Parallel Sessions
https://conf.researchr.org/program/icse-2024/program-icse-2024/ https://nlbse2024.github.io/
Schedule (UTC+1)
14:15 - 15:30 → Discussion Panel - Challenges and Opportunities of LLMs
14:15 - 14:20 → Panel Introduction
14:20 - 14:35 → Presentation of a Book on Security for LLMs
by Andrei Kucharavy
14:35 - 15:30 → Panel discussion
15:30 - 16:00 → Coffee Break
16:00 - 17:25 → Research Session: Frontiers of Collaborative Development - -
17:25 - 17:35 → Closing and Awards
Sebastiano
https://conf.researchr.org/program/icse-2024/program-icse-2024/ https://nlbse2024.github.io/
Plenary Session (Maria Helena Vieira da Silva)
Keynote (09:30)
Neuro-Symbolic Developer Tools for Analyzing,
Executing, and Repairing Code
Developer productivity and software quality critically depend on
effective software development tools. Traditional, symbolic
program analysis tools are often limited in their ability to
understand developer intention and rely on various hand-crafted
heuristics. Neural software analysis addresses these limitations, but
remains unaware of the formal semantics of a program and hence
easily misses facts and rules that are actually well known. This talk
argues that carefully combining neural and symbolic reasoning
provides an effective means to address various challenging
software development problems. To illustrate this point, I will
describe our 8-year long journey of creating neuro-symbolic
developer tools, ranging from learning-based bug detectors and
type predictors, to our most recent work on learning-guided
execution and program repair based on an autonomous
LLM-based agent. I will discuss lessons learned on this journey and
conclude with an outline of open challenges waiting to be
addressed in order to close the gap between symbolic and neural
software developer tools.
Bio:
Michael Pradel is a full professor at the
University of Stuttgart His research interests
span software engineering, programming
languages, security, and machine learning, with
a focus on tools and techniques for building
reliable, efficient, and secure software. Michael
has been recognized through the Ernst-Denert
Software Engineering Award, an Emmy
Noether grant by the German Research
Foundation (DFG), an ERC Starting Grant,
best/distinguished paper awards at FSE (3x),
ISSTA, ASE, and ASPLOS, and by being named
an ACM Distinguished Member.
Mali
Michael Pradel
Break (10:30 – 11:00)
Research papers
Full papers (20 minutes):
- 15 minutes for talk
- 5 minutes for questions
Short papers (15 minutes):
- 10 minutes for talk
- 5 minutes for questions
Tool papers (10 minutes):
- 7 minutes for talk
- 3 minutes for questions
Sebastiano
Session 1 - Language and Code Dynamics: schedule (11:00)
Aligning Programming Language and Natural Language: Exploring Design Choices in Multi-Modal Transformer-Based
Embedding for Bug Localization (full)
Partha Chakraborty, Venkatraman Arumugam and Meiyappan Nagappan University of Waterloo
What’s in a Display Name? An Empirical Study on the Use of Display Names in Open-Source JUnit Tests (full)
Yining Qiao and José Miguel Rojas University of Sheffield
Software Vulnerability and Functionality Assessment using Large Language Models (short)
Rasmus Ingemann Tuffveson Jensen, Vali Tawosi and Salwa Alamir J.P.Morgan AI Research
Towards Automatic Translation of Machine Learning Visual Insights to Analytical Assertions (short)
Arumoy Shome, Luis Cruz and Arie van Deursen Delft University of Technology
Andrea/Seba
Tool competition (11:00) - Glicínia Quartin
Competition reports:
- 10 minutes per paper (inclusive)
Tool Competition Co-chairs
Tool Chairs
Tool Competition schedule
Opening
Rafael Kallis1
, Giuseppe Colavito2
, Pooja Rani3
, Ali Al-Kaswan4
, Luca Pascarella5
, Oscar Chaparro6
[1] Rafael Kallis Consulting, [2]
University of Bari, [3] University of Zurich, [4] Delft University of Technology, [5] ETH Zurich, [6] College of William and Mary
Few-Shot Issue Report Classification with Adapters
Fahad Ebrahim and Mike Joy University of Warwick
Lessons from the NLBSE 2024 Competition: Towards Building Efficient Models for GitHub Issue Classification
Daniel Gómez-Barrera, Luccas Rojas Becerra, Juan Pinzón Roncancio, David Ortiz Almanza, Juan Arboleda, Mario Linares and
Ruben Manrique Universidad de los Andes
ClassifAI: Automating Issue Reports Classification using Pre-Trained BERT (Bidirectional Encoder Representations from
Transformers) Models
Khubaib Amjad Alam, Ashish Jumani, Harris Aamir and Muhammad Uzair National University of Computer and Emerging Sciences
Text-To-Text Generation for Issue Report Classification
Gokul Rejithkumar, Preethu Rose Anish and Smita Ghaisas TCS Research
Applying Large Language Models API to Issue Classification Problem
Gabriel Aracena1
, Kyle Luster1
, Fabio Santos1
, Igor Steinmacher2
and Marco A. Gerosa2
[1] Grand Canyon University, [2] Northern
Arizona University
Dopamin: Transformer-based Comment Classifiers through Domain Post-Training and Multi-level Layer Aggregation
Nam Le Hai1
and Nghi D. Q. Bui2
[1] FPT Software AI Center, [2] Fulbright University
Closing
Rafael Kallis1
, Giuseppe Colavito2
, Pooja Rani3
, Ali Al-Kaswan4
, Luca Pascarella5
, Oscar Chaparro6
[1] Rafael Kallis Consulting, [2]
University of Bari, [3] University of Zurich, [4] Delft University of Technology, [5] ETH Zurich, [6] College of William and Mary
Tool Chairs
Lunch (12:30)
Discussion Panel (14:15)
Challenges and Opportunities of LLMs in SE
Panelists
Sebastiano
Break (15:30 – 16:00)
Session 2 - Frontiers of collaborative development: schedule (16:00)
Unveiling Disparities: NLP Analysis of Software Industry and Vocational Education Gaps (full)
Emil Bäckstrand1
, Rasmus Djupedal1
, Lena-Maria Öberg1
and Francisco Gomes de Oliveira Neto2
[1] Mid Sweden University, [2] Chalmers and the University of Gothenburg
Towards LLM-Generated Code Tours for Onboarding (short)
Martin Balfroid, Benoît Vanderose and Xavier Devroey NADI, University of Namur
Automated Extraction of Compliance Elements in Software Engineering Contracts Using Natural Language Generation
(short)
Gokul Rejithkumar, Preethu Rose Anish, Pratik Sonar and Smita Ghaisas TCS Research
Emotion Classification In Software Engineering Texts: A Comparative Analysis of Pre-trained Transformers Language
Models (full)
Mia Mohammad Imran Virginia Commonwealth University
Understanding Emojis :) in Useful Code Review Comments (short) (video)
Sharif Ahmed and Nasir Eisty Boise State University
Sebastiano
Closing (17:25)
Closing (17:25)
73 registered participants specifically for NLBSE
Andrea
Thanks to: All of you
for joining!
Andrea
Thanks to: Our Keynote Speaker
for giving an enlightening and instructive talk!
Andrea
Thanks to: the Tool Competition Co-chairs
Rafael Kallis Giuseppe Colavito Pooja Rani Luca Pascarella Oscar Chaparro Ali Al-Kaswan
for organizing two exciting and relevant tool competitions!
Andrea
Andrea
Thanks to: our Web Chairs
Arnaldo Sgueglia Tamara Toma
for their support with the website!
Sebastiano
Thanks to: the Program Committee members
for their support in reviewing papers!
Sebastiano
What’s Next?
Special issue at Science of Computer Programming 2024:
“NLBSE’24: Natural Language-based Software to
Support Software Engineering Processes”
Open Call!
Short papers with a great focus on software and replication packages
Submission Dates: October 1st, 2024
Slides of our Workshop will be made available in the webpage
Link to submission page will be posted on Twitter and the NLBSE web page
Sebastiano
Sebastiano
What’s Next?
• Coordinate with similar workshops (e.g., LLM4Code) to continuously promote
research in the field.
• Organize a symposium exploring the intersection of language and code
models to foster knowledge sharing and community growth.
• Involve more industrial subjects and practitioners.
• Promote discussion around current and relevant themes (e.g., AI-language
models) and new competition in other relevant NLBSE areas.
• Encourage the design, implementation, and public availability of usable and
high-quality tools to deal with NLBSE-related challenges.
• We are generally open to ideas or new NLBSE tool competition/challenges
(contact us)!
Sebastiano
Thank you all for participating!
See you next year in Ottawa
at NLBSE 2025!

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The 3rd Intl. Workshop on NL-based Software Engineering

  • 1. NL-based Software Engineering (NLBSE) '24 April 20th, 2024, 09:15 - 17:35 UTC+1 https://nlbse2024.github.io/ @NLBSE_workshop Sebastiano Panichella Andrea Di Sorbo Maliheh Izadi
  • 2. General format Presentations: Live presentations In-person: Rooms Maria Helena Vieira da Silva & Glicínia Quartin Questions: After each presentation we have allocated time for Q & A. Participants: - We encourage you to ask questions to the speakers Mali
  • 3. Participation (Paper Authors) Andrea 17 submissions, 9 were accepted 6 tool competition papers
  • 5. Thanks to our sponsors! IEEE Technical Community on Software Engineering (TCSE) ACM Special Interest Group on Software Engineering (SIGSOFT) Andrea
  • 6. Schedule (UTC+1) 09:15 - 9:30 → Opening 09:30 - 10:30 → Live Keynote: "Neuro-Symbolic Developer Tools for Analyzing, Executing, and Repairing Code" by Michael Pradel 10:30 - 11:00 → Break Sebastiano Plenary Session (Maria Helena Vieira da Silva) https://conf.researchr.org/program/icse-2024/program-icse-2024/ https://nlbse2024.github.io/
  • 7. Schedule (UTC+1) Morning Parallel Session - Maria Helena Vieira da Silva 11:00 - 12:10 → Research Session: Language and Code Dynamics: Morning Parallel Session - Glicínia Quartin 11:00 - 12:30 → Tool Competition → Opening (11:00 - 11:15) → Tool Paper Presentations (11:15 - 12:15) → Closing (12:15 - 12:30) 12:30 - 14:15 → Lunch Sebastiano Parallel Sessions https://conf.researchr.org/program/icse-2024/program-icse-2024/ https://nlbse2024.github.io/
  • 8. Schedule (UTC+1) 14:15 - 15:30 → Discussion Panel - Challenges and Opportunities of LLMs 14:15 - 14:20 → Panel Introduction 14:20 - 14:35 → Presentation of a Book on Security for LLMs by Andrei Kucharavy 14:35 - 15:30 → Panel discussion 15:30 - 16:00 → Coffee Break 16:00 - 17:25 → Research Session: Frontiers of Collaborative Development - - 17:25 - 17:35 → Closing and Awards Sebastiano https://conf.researchr.org/program/icse-2024/program-icse-2024/ https://nlbse2024.github.io/ Plenary Session (Maria Helena Vieira da Silva)
  • 9. Keynote (09:30) Neuro-Symbolic Developer Tools for Analyzing, Executing, and Repairing Code Developer productivity and software quality critically depend on effective software development tools. Traditional, symbolic program analysis tools are often limited in their ability to understand developer intention and rely on various hand-crafted heuristics. Neural software analysis addresses these limitations, but remains unaware of the formal semantics of a program and hence easily misses facts and rules that are actually well known. This talk argues that carefully combining neural and symbolic reasoning provides an effective means to address various challenging software development problems. To illustrate this point, I will describe our 8-year long journey of creating neuro-symbolic developer tools, ranging from learning-based bug detectors and type predictors, to our most recent work on learning-guided execution and program repair based on an autonomous LLM-based agent. I will discuss lessons learned on this journey and conclude with an outline of open challenges waiting to be addressed in order to close the gap between symbolic and neural software developer tools. Bio: Michael Pradel is a full professor at the University of Stuttgart His research interests span software engineering, programming languages, security, and machine learning, with a focus on tools and techniques for building reliable, efficient, and secure software. Michael has been recognized through the Ernst-Denert Software Engineering Award, an Emmy Noether grant by the German Research Foundation (DFG), an ERC Starting Grant, best/distinguished paper awards at FSE (3x), ISSTA, ASE, and ASPLOS, and by being named an ACM Distinguished Member. Mali Michael Pradel
  • 11. Research papers Full papers (20 minutes): - 15 minutes for talk - 5 minutes for questions Short papers (15 minutes): - 10 minutes for talk - 5 minutes for questions Tool papers (10 minutes): - 7 minutes for talk - 3 minutes for questions Sebastiano
  • 12. Session 1 - Language and Code Dynamics: schedule (11:00) Aligning Programming Language and Natural Language: Exploring Design Choices in Multi-Modal Transformer-Based Embedding for Bug Localization (full) Partha Chakraborty, Venkatraman Arumugam and Meiyappan Nagappan University of Waterloo What’s in a Display Name? An Empirical Study on the Use of Display Names in Open-Source JUnit Tests (full) Yining Qiao and José Miguel Rojas University of Sheffield Software Vulnerability and Functionality Assessment using Large Language Models (short) Rasmus Ingemann Tuffveson Jensen, Vali Tawosi and Salwa Alamir J.P.Morgan AI Research Towards Automatic Translation of Machine Learning Visual Insights to Analytical Assertions (short) Arumoy Shome, Luis Cruz and Arie van Deursen Delft University of Technology Andrea/Seba
  • 13. Tool competition (11:00) - Glicínia Quartin Competition reports: - 10 minutes per paper (inclusive) Tool Competition Co-chairs Tool Chairs
  • 14. Tool Competition schedule Opening Rafael Kallis1 , Giuseppe Colavito2 , Pooja Rani3 , Ali Al-Kaswan4 , Luca Pascarella5 , Oscar Chaparro6 [1] Rafael Kallis Consulting, [2] University of Bari, [3] University of Zurich, [4] Delft University of Technology, [5] ETH Zurich, [6] College of William and Mary Few-Shot Issue Report Classification with Adapters Fahad Ebrahim and Mike Joy University of Warwick Lessons from the NLBSE 2024 Competition: Towards Building Efficient Models for GitHub Issue Classification Daniel Gómez-Barrera, Luccas Rojas Becerra, Juan Pinzón Roncancio, David Ortiz Almanza, Juan Arboleda, Mario Linares and Ruben Manrique Universidad de los Andes ClassifAI: Automating Issue Reports Classification using Pre-Trained BERT (Bidirectional Encoder Representations from Transformers) Models Khubaib Amjad Alam, Ashish Jumani, Harris Aamir and Muhammad Uzair National University of Computer and Emerging Sciences Text-To-Text Generation for Issue Report Classification Gokul Rejithkumar, Preethu Rose Anish and Smita Ghaisas TCS Research Applying Large Language Models API to Issue Classification Problem Gabriel Aracena1 , Kyle Luster1 , Fabio Santos1 , Igor Steinmacher2 and Marco A. Gerosa2 [1] Grand Canyon University, [2] Northern Arizona University Dopamin: Transformer-based Comment Classifiers through Domain Post-Training and Multi-level Layer Aggregation Nam Le Hai1 and Nghi D. Q. Bui2 [1] FPT Software AI Center, [2] Fulbright University Closing Rafael Kallis1 , Giuseppe Colavito2 , Pooja Rani3 , Ali Al-Kaswan4 , Luca Pascarella5 , Oscar Chaparro6 [1] Rafael Kallis Consulting, [2] University of Bari, [3] University of Zurich, [4] Delft University of Technology, [5] ETH Zurich, [6] College of William and Mary Tool Chairs
  • 16. Discussion Panel (14:15) Challenges and Opportunities of LLMs in SE Panelists Sebastiano
  • 18. Session 2 - Frontiers of collaborative development: schedule (16:00) Unveiling Disparities: NLP Analysis of Software Industry and Vocational Education Gaps (full) Emil Bäckstrand1 , Rasmus Djupedal1 , Lena-Maria Öberg1 and Francisco Gomes de Oliveira Neto2 [1] Mid Sweden University, [2] Chalmers and the University of Gothenburg Towards LLM-Generated Code Tours for Onboarding (short) Martin Balfroid, Benoît Vanderose and Xavier Devroey NADI, University of Namur Automated Extraction of Compliance Elements in Software Engineering Contracts Using Natural Language Generation (short) Gokul Rejithkumar, Preethu Rose Anish, Pratik Sonar and Smita Ghaisas TCS Research Emotion Classification In Software Engineering Texts: A Comparative Analysis of Pre-trained Transformers Language Models (full) Mia Mohammad Imran Virginia Commonwealth University Understanding Emojis :) in Useful Code Review Comments (short) (video) Sharif Ahmed and Nasir Eisty Boise State University Sebastiano
  • 20. Closing (17:25) 73 registered participants specifically for NLBSE Andrea
  • 21. Thanks to: All of you for joining! Andrea
  • 22. Thanks to: Our Keynote Speaker for giving an enlightening and instructive talk! Andrea
  • 23. Thanks to: the Tool Competition Co-chairs Rafael Kallis Giuseppe Colavito Pooja Rani Luca Pascarella Oscar Chaparro Ali Al-Kaswan for organizing two exciting and relevant tool competitions! Andrea
  • 25. Thanks to: our Web Chairs Arnaldo Sgueglia Tamara Toma for their support with the website! Sebastiano
  • 26. Thanks to: the Program Committee members for their support in reviewing papers! Sebastiano
  • 27. What’s Next? Special issue at Science of Computer Programming 2024: “NLBSE’24: Natural Language-based Software to Support Software Engineering Processes” Open Call! Short papers with a great focus on software and replication packages Submission Dates: October 1st, 2024 Slides of our Workshop will be made available in the webpage Link to submission page will be posted on Twitter and the NLBSE web page Sebastiano Sebastiano
  • 28. What’s Next? • Coordinate with similar workshops (e.g., LLM4Code) to continuously promote research in the field. • Organize a symposium exploring the intersection of language and code models to foster knowledge sharing and community growth. • Involve more industrial subjects and practitioners. • Promote discussion around current and relevant themes (e.g., AI-language models) and new competition in other relevant NLBSE areas. • Encourage the design, implementation, and public availability of usable and high-quality tools to deal with NLBSE-related challenges. • We are generally open to ideas or new NLBSE tool competition/challenges (contact us)! Sebastiano
  • 29. Thank you all for participating! See you next year in Ottawa at NLBSE 2025!