Software development requires several stages of code iterations, each one requiring debugging, testing, localizing and fixing bugs. While several tools have been developed to automate one of those tasks individually, integrating and combining those results still requires a huge manual effort from software developers. Additionally, many approaches, e.g., in Automated Program Repair, are based on specifically curated fix templates that fail to generalize to most complex software projects. To address those challenges, I propose a new research agenda to learn the effects of software changes in order to localize and fix bugs without being limited to a specific project or a specific programming language. Additionally, my approach can be used to predict the effects of software changes. My preliminary results indicate the feasibility of successfully training a model on Python software changes and their effects, that is capable of producing 80% of correct patches and predicting the effect of a change with an accuracy of 81%. My results highlight the potential of learning the effects of software changes for better software development.
Tue 17 SepDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
13:30 - 15:00 | |||
13:30 15mTalk | Shaping Test Inputs in Grammar-Based Fuzzing Doctoral Symposium S: José Antonio Zamudio Amaya CISPA Helmholtz Center for Information Security, P: Elisa Gonzalez Boix Vrije Universiteit Brussel, P: Marcelo d'Amorim North Carolina State University, P: Mira Mezini TU Darmstadt; hessian.AI; National Research Center for Applied Cybersecurity ATHENE | ||
13:45 10mTalk | Graph Learning for Extract Class Refactoring Doctoral Symposium S: Luqiao Wang Xidian University, P: Elisa Gonzalez Boix Vrije Universiteit Brussel, P: Marcelo d'Amorim North Carolina State University, P: Mira Mezini TU Darmstadt; hessian.AI; National Research Center for Applied Cybersecurity ATHENE | ||
13:55 10mTalk | With Biabduction towards Memory Safety across the Rust-C-FFI Doctoral Symposium S: Florian Sextl TU Wien, Austria, P: Elisa Gonzalez Boix Vrije Universiteit Brussel, P: Marcelo d'Amorim North Carolina State University, P: Mira Mezini TU Darmstadt; hessian.AI; National Research Center for Applied Cybersecurity ATHENE | ||
14:05 10mTalk | Decentralized Near-Synchronous Local-First Programming Collaboration Doctoral Symposium S: Leon Freudenthaler FH Campus Wien, P: Elisa Gonzalez Boix Vrije Universiteit Brussel, P: Marcelo d'Amorim North Carolina State University, P: Mira Mezini TU Darmstadt; hessian.AI; National Research Center for Applied Cybersecurity ATHENE | ||
14:15 10mTalk | Quality Assurance For Non-Trivial Systems: Use Case GCC Plugins Doctoral Symposium S: Nimantha Kariyakarawana DistriNet-KU Leuven, P: Elisa Gonzalez Boix Vrije Universiteit Brussel, P: Marcelo d'Amorim North Carolina State University, P: Mira Mezini TU Darmstadt; hessian.AI; National Research Center for Applied Cybersecurity ATHENE | ||
14:25 10mTalk | Collaboration to Repository-Level Vulnerability Detection Doctoral Symposium S: Xin-Cheng Wen Harbin Institute of Technology, P: Elisa Gonzalez Boix Vrije Universiteit Brussel, P: Marcelo d'Amorim North Carolina State University, P: Mira Mezini TU Darmstadt; hessian.AI; National Research Center for Applied Cybersecurity ATHENE | ||
14:35 15mTalk | Learning the Effects of Software Changes Doctoral Symposium S: Laura Plein CISPA Helmholtz Center for Information Security, P: Elisa Gonzalez Boix Vrije Universiteit Brussel, P: Marcelo d'Amorim North Carolina State University, P: Mira Mezini TU Darmstadt; hessian.AI; National Research Center for Applied Cybersecurity ATHENE | ||