HyperSeq: A Hyper-Adaptive Representation for Predictive Sequencing of States
In the rapidly evolving world of software development, the surge in developers’ reliance on AI-driven tools has transformed Integrated Development Environments into powerhouses of advanced features. This transformation, while boosting developers’ productivity to unprecedented levels, comes with a catch: increased hardware demands for software development. Moreover, the significant economic and environmental toll of using these sophisticated models necessitates mechanisms that reduce unnecessary computational burdens.
We propose HyperSeq — Hyper-Adaptive Representation for Predictive Sequencing of States — a novel, resource-efficient approach designed to model developers’ cognitive states. HyperSeq facilitates precise action sequencing and enables real-time learning of user behavior. Our preliminary results show how HyperSeq excels in forecasting action sequences and achieves remarkable prediction accuracies that go beyond 70%. Notably, the model’s online-learning capability allows it to substantially enhance its predictive accuracy in a majority of cases and increases its capability in forecasting next user actions with sufficient iterations for adaptation. Ultimately, our objective is to harness these predictions to refine and elevate the user experience dynamically within the IDE.
Mon 23 JunDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
16:00 - 18:00 | MSR 1Industry Papers / Ideas, Visions and Reflections / Research Papers / Journal First at Aurora B Chair(s): Andrew Begel Carnegie Mellon University | ||
16:00 20mTalk | On Refining the SZZ Algorithm with Bug Discussion Data Journal First Pooja Rani University of Zurich, Fernando Petrulio University of Zurich, Alberto Bacchelli University of Zurich | ||
16:20 20mTalk | SemBIC: Semantic-aware Identification of Bug-inducing Commits Research Papers Xiao Chen The Hong Kong University of Science and Technology, Hengcheng Zhu The Hong Kong University of Science and Technology, Jialun Cao Hong Kong University of Science and Technology, Ming Wen Huazhong University of Science and Technology, Shing-Chi Cheung Hong Kong University of Science and Technology DOI | ||
16:40 20mTalk | Evaluating SZZ Implementations: An Empirical Study on the Linux Kernel Journal First Yunbo Lyu Singapore Management University, Hong Jin Kang University of Sydney, Ratnadira Widyasari Singapore Management University, Singapore, Julia Lawall Inria, David Lo Singapore Management University | ||
17:00 10mTalk | HyperSeq: A Hyper-Adaptive Representation for Predictive Sequencing of States Ideas, Visions and Reflections | ||
17:10 10mTalk | LLMs for Defect Prediction in Evolving Datasets: Emerging Results and Future Directions Ideas, Visions and Reflections Umamaheswara Sharma B National Institute of Technology, Calicut, Farhan Chonari National Institute of Technology Calicut, Gokul K Anilkumar National Institute of Technology Calicut, Saikiran Konchada National Institute of Technology Calicut | ||
17:20 20mTalk | ROSE LCOM Tools Industry Papers Kenneth Lamar University of Central Florida, Peter Pirkelbauer Lawrence Livermore National Laboratory, Zachary Painter University of Central Florida, Damian Dechev University of Central Florida | ||
Aurora B is the second room in the Aurora wing.
When facing the main Cosmos Hall, access to the Aurora wing is on the right, close to the side entrance of the hotel.