NEWS

ONLINE ASYNCHRONOUS PARTICIPATION You can participate to the workshop online through the DISCORD https://discord.gg/tJKTAUHx channel You will be able to contribute to the discussion asynchronously before, during and after the workshop.

COMING NEXT 15 July 2024 link to the Flash Keynotes https://arxiv.org/abs/2407.06978hate ACCEPTED PAPERS and PROCEEDINGS We accepted 59 paper for discussion at the workshop. We invite the authors of selected papers to extend their paper for the ACM TOSEM 2030 Roadmap special issue. We will thoroughly discuss a roadmap for software engineering at the SE2030 workshop, and we may open the invitation to extend a paper to the special issue after the workshop to few more authors, based on the contribution at the workshop.

We do not publish proceedings. The authors of accepted appers are welcome to share their paper by sending a link to tosem-eic@usi.ch with subject [2030 roadmap] and the title of the paper and the link as message text. We will share the links on this page.

The accepted papers are:

• Mendonca, Nabor, AGIOps: The Final Frontier of Human-Driven Software Development?
• Lyu, Michael; Ray, Baishakhi; Roychoudhury, Abhik; Tan, Shin Hwei; Thongtanunam, Patanamon, Automatic Programming: Large Language Models and Beyond https://doi.org/10.48550/arXiv.2405.02213
• Li, Rui; Liu, Huai; Poon, Pak-Lok; Towey, Dave; Sun, Chang-ai; Zheng, Zheng; Zhou, Zhi Quan; Chen, Tsong, Metamorphic Relation Generation: State of the Art and Visions for Future Research https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Farxiv.org%2Fabs%2F2406.05397&data=05%7C02%7Ctosem-eic%40usi.ch%7C269bfb44906745d3e37108dc89bc165f%7C95bdc5acafb54881801b3874f365cd6f%7C0%7C0%7C638536688144918307%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=35%2FxvHaTGXckuQ0PzsLIzZAUg%2BfLb1xlnWxjRHnEGmM%3D&reserved=0
• Terragni, Valerio; Roop, Partha; Blincoe, Kelly, The Future of Software Engineering in an AI-driven World https://arxiv.org/abs/2406.07737
• König, Christoph; Schaefer, Ina, Sustainable Software Engineering: Sustainability Assessments and Transdisciplinary Research
• Ciniselli, Matteo; Puccinelli, Niccolò; Qiu, Ketai; Di Grazia, Luca, From Today’s Code to Tomorrow’s Symphony: The AI Transformation of Developer’s Routine by 2030
• Facundo Molina, Alessandra Gorla, Test Oracle Automation in the era of LLMs, https://arxiv.org/abs/2405.12766
• Arzt, Steven; Schreiber, Linda; Appelt, Dominik, Position: How Regulation Will Change Software Security Research
• Williams, Laurie; Acar, Yasemin; Cuckier, Michel; Enck, William; Kapravelos, Alexandros; Kästner, Christian; Wermke, Dominik, Research Directions in Securing the So ware Supply Chain
• Murillo, Juan Manuel; Barzen, Johanna; Ali, Shaukat; Yue, Tao; Arcaini, Paolo; Perez-Castillo, Ricardo; Ruiz-Cortés, Antonio; Brogi, Antonio; Zhao, Jianjun; Miranskyy, Andriy; WImmer, Manuel, Challenges of Quantum Software Engineering for the Next Decade: The Road Ahead https://doi.org/10.48550/arXiv.2404.06825 Wang, Yu; Yin, Shicheng; Zhang, Yi; Wang, Linzhang, Static Software Security Analysis: A Roadmap
• Kessel, Marcus; Atkinson, Colin, Morescient GAI for Software Engineering https://eur02.safelinks.protection.outlook.com/?url=http%3A%2F%2Farxiv.org%2Fabs%2F2406.04710&data=05%7C02%7Ctosem-eic%40usi.ch%7C36303e3354e9412cb8b308dc8afec645%7C95bdc5acafb54881801b3874f365cd6f%7C0%7C0%7C638538074053749133%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=xwxfE50%2BaOPLIU8zh74l7ryiZUdikd%2FnhAusTqt%2F6o4%3D&reserved=0
• Fuentes, Lidia, Engineering software for next-generation networks in a sustainable way https://dx.doi.org/10.5281/zenodo.11579614
• Wang, Qing; Wang, Junjie; Li, Mingyang; Wang, Yawen; Liu, Zhe, A Roadmap for Software Testing in Open Collaborative Development Environments https://arxiv.org/abs/2406.05438
• Shamim, Shazibul; Arafat, Jahidul; Hu, Hanyang; Srivastava, Arpan; babar, ali; RAHMAN, AKOND, A Vision of Seamless Quality Assurance for Kubernetes-based Container Orchestration https://aub.ie/2030-k8s
• Diaz, Jessica; Pérez-Martínez, Jorge; Díaz-Álvarez, Alberto; Alves, Isaque; Rocha, Carla, AI-powered IT Finance & Software Engineering Operations: A framework and agenda
• He, Junda; Treude, Christoph; Lo, David, LLM-Based Multi-Agent Systems for Software Engineering: Vision and the Road Ahead https://arxiv.org/abs/2404.04834
• Zhou, Xin; Cao, Sicong; Sun, Xiaobing; Lo, David, Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead https://arxiv.org/pdf/2404.02525
• Casadei, Roberto; Aguzzi, Gianluca; Audrito, Giorgio; Damiani, Ferruccio; Pianini, Danilo; Scarso, Giordano; Torta, Gianluca; Viroli, Mirko, Software Engineering for Collective Cyber-Physical Ecosystems https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2F10.48550%2FarXiv.2406.04780&data=05%7C02%7Ctosem-eic%40usi.ch%7C74c81241959e492ab22808dc95dfcc96%7C95bdc5acafb54881801b3874f365cd6f%7C0%7C0%7C638550035672725829%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=RYnY0csHlADIxdEUbNUFmbtYK0liZmbjnLMYnH%2Fu9F0%3D&reserved=0- Singh, V.B, 2030- Sustainable Software Development Goals (SSDGs)
• Jackson, Victoria; Vasilescu, Bogdan; Russo, Daniel; Ralph, Paul; Prikladnicki, Rafael; Izadi, Maliheh; D’Angelo, Sarah; Inman, Sarah; Lisboa, Anielle; van der Hoek, André, Creativity, Generative AI, and Software Development: A Research Agenda https://arxiv.org/abs/2406.01966
• Mastropaolo, Antonio; Escobar-Velásquez, Camilo; Linares-Vásquez, Mario, The Rise and Fall(?) of Software Engineering https://arxiv.org/abs/2406.10141
• Robinson, Diana; Cabrera, Christian; Gordon, Andrew; Lawrence, Neil; Mennen, Lars, Requirements are All You Need: The Final Frontier for End-User Software Engineering https://arxiv.org/abs/2405.13708
• Shi, Jieke; Yang, Zhou; Lo, David, Efficient and Green Large Language Models for Software Engineering: Vision and the Road Ahead https://arxiv.org/abs/2404.04566
• Alrajeh, Dalal; Uchitel, Sebastian, Revising Goal Oriented Requirements Engineering from a Control Perspective
• de Souza Santos, Ronnie; Fronchetti, Felipe; Freire, Sávio; Spinola, Rodrigo, Software Fairness Debt
• Gao, Cuiyun; Hu, Xing; Gao, Shan; Xia, Xin; Jin, Zhi, The Current Challenges of Software Engineering in the Era of Large Language Models
• Moreira, Ana; Leifler, Ola; Betz, Stefanie; Brooks, Ian; Capilla, Rafael; Coroama, Vlad; Duboc, Leticia; Fernandes, Joao; Heldal, Rogardt; Lago, Patricia; Nguyen, Ngoc-Thanh; Oyedeji, Shola, A Road Less Travelled and Beyond: Towards a Roadmap for Integrating Sustainability into Computing Education
• Betz, Stefanie; Penzenstadler, Birgit, With Great Power Comes Great Responsibility: The Role of Software Engineers
• Calero, Coral; García, Félix; García-Mireles, Gabriel Alberto; Moraga, Mª Ángeles; Vizcaino, Aurora, Addressing Sustainability-IN Software Challenges https://arxiv.org/abs/2406.07380
• De Sanctis, Martina; Inverardi, Paola; Pelliccione, Patrizio, Engineering Digital Systems for Humanity: Challenges and Opportunities http://arxiv.org/abs/2406.09065
• Shamshiri, Hatef; Tripathi, Ashok; Oyedeji, Shola; Porras, Jari, Exploring the Experiences of Experts: Sustainability in Agile Software Development - Insights from the Finnish Software Industry https://arxiv.org/abs/2407.06978
• Hyrynsalmi, Sonja; Baltes, Sebastian; Brown, Chris; Prikladnicki, Rafael; Rodríguez-Pérez, Gemma; Serebrenik, Alexander; Simmonds, Jocelyn; Trinkenreich, Bianca; Wang, Yi; Liebel, Grischa, Bridging Gaps, Building Futures: Advancing Software Developer Diversity and Inclusion Through Future-Oriented Research https://doi.org/10.48550/arXiv.2404.07142
• Imiya Mohottige, Thakshila; Polyvyanyy, Artem; Buyya, Rajkumar; Fidge, Coling; Barros, Alistair, Service Colonies https://arxiv.org/abs/2407.07267
• Assunção, Wesley; Marchezan, Luciano; Egyed, Alexander; Ramler, Rudolf, Contemporary Software Modernization: Perspectives and Challenges to Deal with Legacy Systems
• Marchezan, Luciano; Assunção, Wesley; Herac, Edvin; Egyed, Alexander, Model-based Maintenance and Evolution with GenAI: A Look into the Future https://doi.org/10.48550/arXiv.2407.07269
• Hudson, Sinclair; Jit, Sophia; Hu, Boyue Caroline; Chechik, Marsha, Software Engineering Perspective on Testing Large Language Models: Research, Practice, Tools and Benchmarks
• Cruz, Luis; Franch, Xavier; Martínez-Fernández, Silverio, Innovating for Tomorrow: The Convergence of SE and Green AI.
• Gross, Jennifer; Ouhbi, Sofia, Clearing the Path for Software Sustainability
• Ramalho, Neilson; Amario de Souza, Higor; Lordello Chaim, Marcos, Testing and Debugging Quantum Programs: The Road to 2030 https://arxiv.org/pdf/2405.09178
• Chen, Daihang; Liu, Yonghui; Zhou, Mingyi; Zhao, Yanjie; Wang, Haoyu; Wang, Shuai; Chen, Xiao; Bissyande, Tegawende; Klein, Jacques; Li, Li, LLM for Mobile: An Initial Roadmap
• Fernandes, Filipe, Towards the Metaverse Engineering
• Robles, Gregorio; Treude, Christoph; Gonzalez-Barahona, Jesus; Kula, Raula Gaikovina, The Role of Code Proficiency in the Era of Generative AI
• Hassan, Ahmed; Oliva, Gustavo Ansaldi; Lin, Dayi; Chen, Boyuan; Jiang, Zhen Ming (Jack), Rethinking Software Engineering in the Foundation Model Era: From Task-Driven AI Copilots to Goal-Driven AI Pair Programmers https://arxiv.org/pdf/2404.10225
• Sultana, Sayma; Uddin, Gias; Bosu, Amiangshu, Incorporating Fairness Requirements in Software Development Lifecycle for AI, by AI: Vision and Challenges
• Burgueño, Lola; di ruscio, davide; Sahraoui, Houari; WImmer, Manuel, The Past, Present, and Future of Automation in Model-Driven Engineering
• Xin, Qi; Wu, Haojun; Reiss, Steven; Xuan, Jifeng, Towards Practical and Useful Automated Program Repair for Debugging
• Birchler, Christian; Khatiri, Sajad; Rani, Pooja; Kehrer, Timo; Panichella, Sebastiano, A Roadmap for Simulation-Based Testing of Autonomous Cyber-Physical Systems: Challenges and Future Direction
• Patnaik, Nikhil; Hallett, Joseph; Rashid, Awais, Saltzer & Schroeder for 2030: Security engineering principles in a world of AI
• de Campos, Aline; Melegati, Jorge; Nascimento, Nicolas; Chanin, Rafael; Sales, Afonso; Wiese, Igor Scaliante, Some things never change: how far generative AI can really change software engineering practice https://arxiv.org/abs/2406.09725
• Dolci, Tommaso; Quattrocchi, Giovanni; Camilli, Matteo, The Road Toward Engineering Socio-Critical Software Systems
• Zhihao, Lin; Ma, Wei; Lin, Tao; Zheng, Yaowen; Ge, JIngquan; Wang, Jun; Klein, Jacques; Bissyande, Tegawende; Liu, Yang; Li, Li, Open-Source AI-based SE Tools: Opportunities and Challenges of Collaborative Software Learning
• Pan, Rangeet; Krishna, Rahul; Merler, Michele; Pavuluri, Raju; Sinha, Saurabh; Vukovic, Maja, What would be an Ideal Code LLM? An Industrial Perspective
• Gren, Lucas; Feldt, Robert, The Social Psychology of Software Security (Psycurity)
• Oyedeji, Shola; Chitchyan, Ruzanna; Adisa, Mikhail; Shamshiri, Hatef, Integrating Sustainability Concerns into Agile Software Development Process
• Zhao, Yanjie; Hou, Xinyi; Wang, Shenao; Wang, Haoyu, LLM App Store Analysis: A Vision and Roadmap
• Wang, Shenao; Zhao, Yanjie; Hou, Xinyi; Wang, Haoyu, Large Language Model Supply Chain: A Research Agenda
• Rajan, Hridesh; Imtiaz, Sayem Mohammad; Ahmed, Shibbir, Engineering Deep Learning Models Through Decomposition, Modularization, and Interface Specifications
• Ran, Dezhi; Wu, Mengzhou; Yang, Wei; Xie, Tao, Foundation Model Engineering: Engineering Foundation Models Just as Engineering Software https://arxiv.org/abs/2407.08176
• Cederbladh, Johan; Cicchetti, Antonio, A Road-Map for Transferring Software Engineering methods for Model-Based Early V&V of Behaviour to Systems Engineering https://arxiv.org/abs/2406.04037

PROGRAM

We will organize the program as a combination of 1-2-all, world-table café, open discussion sessions shared lunches and dinner, where the participants share their vision and harvest new ideas to improve the papers for the ACM TOSEM roadmap special issue that will offer the results fo the workshop as a wide spectrum roadmap to our community. We will share the program in advance as soon as ready.

Participation in person is very important, and we hope to meet with you all in Porto de Galinhas, however, we understand that some participants may have unavoidable problems that may prevent their presence in person. We will investigate the possibility of opening an online participation for the participants who cannot be in Porto de Galinhas for severe issues. We will share detailed instructions before the workshop.

THE WORKSHOP

The two-days SE2030 – Software Engineering in 2030 Workshop will define a roadmap for software engineering for the next decade. We invite all the members of the software engineering community to share their viewpoint on the evolution of software engineering in light of the recent dramatic changes in the field, and contribute to define a roadmap for the research in software engineering in the next decade. The workshop is organized in partnership with ACM TOSEM Transactions on Software Engineering and Methodology that will publish the results of the workshops in a December 2024 special issue ‘A 2030 Roadmap for Software Engineering’, with the contribution of the workshop participants. We will invite the authors of selected papers to extend the workshop paper for the 2030 Roadmap for Software Engineering special issue of ACM TOSEM Transactions on Software Engineering (issue 33.8 of December 2024).

The landscape of software engineering has dramatically changed. The enormous potentiality of machine learning deeply modifies the skyline of software engineering with new ethical, fairness and technical problems. The new generations of autonomous systems shape new challenges to software engineering by and for humans, and upsets even the basic concept of software artifact. Machine learning and AI open new frontiers towards automated programming. Engineering sustainable software systems is an urgent priority. Recent advances on knowledge compilation and meta solvers amplify the scalability of satisfiability analysis, and largely increase the application of tools to many software engineering problems. The revolution in software production opens new security issues far beyond classic security engineering.

The middle of the decade is an excellent time to discuss the changes in the past decade, and share a vision towards the future. The workshop will define a roadmap for software engineering from the open discussions in world-café and fishbowl panels around the core future research topics that we will introduce with invited keynote presentations and short presentations of the accepted papers.

We will refine the initial set of research directions (AI and software engineering, software engineering by and for humans, sustainable software engineering, automated programming, satisfiability in software engineering, software security analysis) with the contributions of the submissions and the discussion in the workshop.

We are aware that the event dates for AIware and 2030 Software Engineering are conflicting. The organizers of the two events are coordinating the events’ programs, such that authors will have the opportunity to benefit from and participate in both. While a given paper can only be submitted to one of these events, the organizers, at their discretion, will align both events’ programs in order to allow cross-pollination between both communities.

Call for Papers

The landscape of software engineering has dramatically changed. In the workshop we discuss the recent changes in software engineering, share a vision of the future evolution of software engineering, and define a roadmap for the research community.

The recent breakthrough in machine learning and autonomous systems triggers the deepest change in the skyline of software engineering research and practice since the Internet revolution in the second half of the last century. The software engineering community has never seen a so fast and predominant growth of new research threads such as the study of machine learning in software engineering and the challenges of engineering machine-learning-driven systems, both of which have become the dominant themes of the main software engineering conferences and journals.

Machine learning, AI and autonomous systems shape a new landscape for software engineering by and for humans, and radically change even the basic concept of software artifact. The new software systems challenge software engineers with new ethical, fairness and technical problems. Humans become integral part of large software ecosystems, and the research in software engineering shall move beyond the short sight vision of users of software systems that bound the possible human interaction, toward a new vision of humans as integral part of cyberphysical ecosystems.

The concept of sustainable development extends beyond classic environmental concerns, and spreads over software systems in cyber-physical spaces. Sustainable software operations in cyber-physical spaces requires new design, development, deployment, and maintenance approaches that minimize the ecological footprint, enhance resource efficiency, and promote social responsibility.

Machine learning, and specifically Deep Neural Networks, DNN, and Large Language Models, LLM*, are the largest magnification factor of the human productivity ever seen in software engineering since the pioneer times. They open new frontiers towards automated programming, upset the quality and security scenario, and raise new societal and legal issues.

Recent advances on knowledge compilation and meta solvers amplify the scalability of satisfiability analysis, and largely increase the application of tools to many software engineering problems, test-case generation, reachability analysis, analysis of product lines and configurable software.

The revolution in software production, the many emerging domains and the enormous growth of software systems in both size and complexity open new security issues far beyond classic security engineering. Engineering secure software systems is a key element of cybersecurity and opens many new challenges.

Submissions

We solicit both regular papers with no more than eight pages not including bibliography and position papers with no more than four pages not including bibliography. Both regular and position papers shall identify a relevant research challenge in the contemporary landscape of software engineering. Regular papers shall analyze the recent changes of the research in the identified area, and discuss the future challenges to research in the area. Position papers shall share the authors’ vision of the evolution of the research in some relevant area of software engineering.

AUTHORS TAKE NOTE: The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of the conference. The official publication date affects the deadline for any patent filings related to published work

Topics of Interest

We welcome papers that discuss challenges to software engineering research. A preliminary list of topics that we expect to complete with the contribution of the submitted papers include

• AI for software engineering
• Software engineering for AI
• Software engineering by and for humans
• Sustainable software engineering
• Satisfiability in software engineering
• Software quality with automated programming
• Software security analysis
• Software supply chain
• Engineering software for edge computing
• Quantum software engineering

Review process

All papers will be reviewed with the ACM TOSEM single blind review process: The organizer (the ACM TOSEM Editor in Chief) will assign each paper to a committee member (an ACM TOSEM editor), who will select three reviewers for regular paper and two reviewers for position papers, and will make a recommendation for both a workshop presentation and an invitation to submit an extended version to the ACM TOSEM 2030 Roadmap for Software Engineering special issue. The program committee will decide for acceptance in a virtual committee meeting.

ACM TOSEM 2030 Roadmap for Software Engineering December 2024 special issue

The authors of the accepted papers will be invited to present the paper at the workshop. The authors of some selected regular papers will be invited to contribute to the ACM TOSEM 2030 Roadmap for Software Engineering December 2024 issue (issue 33.8) by extending the workshop papers with the suggestions of the reviewers and new ideas that may emerge during the discussions in the workshop.

As a published ACM author, you and your co-authors are subject to all ACM Publications Policies, including ACM’s new Publications Policy on Research Involving Human Participants and Subjects.

We invite two types of submissions:

• regular papers
• position papers

Regular papers must not exceed 8 pages not including bibliography. We welcome the submission of regular papers from ACM TOSEM Transactions on Software Engineering and Methodology editors and reviewers who served in the last five years (after 1.1.2019), and from authors of papers published or accepted for publication in ACM TOSEM in the last five years (after 1.1.2019). Authors who would like to submit a paper and did not play any role in TOSEM in the last five years are welcome to volunteer as reviewers for TOSEM [please contact the ACM TOSEM Editor in Chief at tosem-eic@usi.ch].

Position papers must not exceed 4 pages not including bibliography. We welcome all submission of position papers.

The submission website is https://mc.manuscriptcentral.com/tosem. To submit a paper to the 2030 Software Engineering workshop, please select the paper type Special Issue: 2030 Software Engineering Roadmap. Papers will be classified as either regular or position papers, depending on their length. If you have not contributed to TOSEM yet, you will be asked to register to the TOSEM website. If you submit a regular paper and you have not contribute to ACM TOSEM yet, please send an email to tosem-eic@usi.ch with subject [ROADMAP] new contributor. We expect all authors of submitted papers to be available to review some workshop papers.

Submissions must strictly conform to the ACM formatting instructions. All submissions must be in PDF.

LaTeX users can use the following code at the start of the document:

\documentclass[sigconf]{acmart}
\acmConference[SE 2030]{International Workshop on Software Engineering in 2030}{November 2024}{Puerto Galinàs (Brazil)}

Submissions must be unpublished original work and should not be under review or submitted elsewhere while being under consideration. By submitting to SE 2030, authors acknowledge that they are aware of and agree to be bound by the ACM Policy and Procedures on Plagiarism, and acknowledge that they conform to the authorship policy of the ACM.

As a published ACM author, you and your co-authors are subject to all ACM Publications Policies, including ACM’s new Publications Policy on Research Involving Human Participants and Subjects.