A Vision on Intentions in Software Engineering
Intentions are fundamental in software engineering, but are typically only implicitly considered through various related abstractions, such as requirements, use cases, features, or issues. Specifically, software engineers develop and evolve a software system based on such abstractions of a stakeholder’s intention—something a stakeholder wants the system to be able to do. Unfortunately, existing abstractions are (inherently) limited when it comes to representing stakeholder intentions and are used for documenting only. So, whether a change in a system fulfills its underlying intention (and only this one) is an essential problem in practice that motivates many research areas (e.g., testing to ensure intended behavior, untangling intentions in commits). We argue that none of the existing abstractions is ideal for capturing intentions and controlling software evolution, which is why intentions are often vague and must be recovered, untangled, or understood in retrospect. In this paper,we reflect on the role of intentions in software engineering and sketch how improving their management may support developers. Particularly, we argue that continuously managing and controlling intentions as well as their fulfillment has the potential to improve the reasoning about what stakeholder requests have been addressed, avoid misunderstandings, and prevent expensive retrospective analyses. To guide future research for achieving such benefits for researchers and practitioners, we discuss the relations of different abstractions to intentions and propose steps towards managing intentions.
Thu 7 DecDisplayed time zone: Pacific Time (US & Canada) change
14:00 - 15:30 | Models of Code and DocumentationResearch Papers / Journal First / Ideas, Visions and Reflections at Golden Gate C1 Chair(s): Gema Rodríguez-Pérez University of British Columbia (UBC) | ||
14:00 15mTalk | On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code Research Papers Martin Weyssow DIRO, Université de Montréal, Xin Zhou Singapore Management University, Singapore, Kisub Kim School of Computing and Information Systems, Singapore Management University, David Lo School of Computing and Information Systems, Singapore Management University, Houari Sahraoui DIRO, Université de Montréal Pre-print Media Attached | ||
14:15 15mTalk | A Vision on Intentions in Software Engineering Ideas, Visions and Reflections Jacob Krüger Eindhoven University of Technology, Yi Li Nanyang Technological University, Chenguang Zhu Meta, Marsha Chechik University of Toronto, Thorsten Berger Ruhr University Bochum, Julia Rubin University of British Columbia, Canada Media Attached | ||
14:30 15mPaper | Automated Identification of Toxic Code Reviews Using ToxiCR Journal First Jaydeb Sarker Department of Computer Science, Wayne State University, Asif Kamal Turzo Wayne State University, Amiangshu Bosu Wayne State University, Ming Dong Wayne State University Link to publication DOI Pre-print Media Attached | ||
14:45 15mTalk | GrACE: Language Models Meet Code Edits Research Papers Priyanshu Gupta Microsoft, Avishree Khare Microsoft, Yasharth Bajpai Microsoft, Saikat Chakraborty Microsoft Research , Sumit Gulwani Microsoft, Aditya Kanade Microsoft Research India, Arjun Radhakrishna Microsoft, Gustavo Soares Microsoft, Ashish Tiwari Microsoft Media Attached | ||
15:00 15mTalk | Recommending Analogical APIs via Knowledge Graph Embedding Research Papers Mingwei Liu Fudan University, Yanjun Yang Fudan University, Yiling Lou Fudan University, Xin Peng Fudan University, Zhong Zhou Fudan University, Xueying Du Fudan University, Tianyong Yang Fudan University Pre-print Media Attached | ||
15:15 15mTalk | [Remote] CCT5: A Code-Change-Oriented Pre-Trained Model Research Papers Bo Lin National University of Defense Technology, Shangwen Wang National University of Defense Technology, Zhongxin Liu Zhejiang University, Yepang Liu Southern University of Science and Technology, Xin Xia Huawei Technologies, Xiaoguang Mao National University of Defense Technology DOI Pre-print Media Attached |