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Program synthesis: challenges and opportunities
Cristina David1, Daniel Kroening2
1Department of Computer Science, University of Oxford, Oxford, UK.
Summary
Program synthesis automates software creation by generating code from specifications. Counter-example-guided inductive synthesis (CEGIS) is a key technique driving new tools and broader applications.
Area of Science:
- Computer Science
- Software Engineering
- Artificial Intelligence
Background:
- Program synthesis automates software development, generating code from high-level specifications.
- This field aims to relieve programmers from implementation details, focusing on problem description.
- Synthesis tools act as solvers for second-order existential logic.
Purpose of the Study:
- To survey applications and recent trends in program synthesis algorithms.
- To highlight counter-example-guided inductive synthesis (CEGIS) as a pivotal advancement.
- To describe the CEGIS architecture and recent algorithmic improvements.
Main Methods:
- Review of existing program synthesis techniques and applications.
- Focus on counter-example-guided inductive synthesis (CEGIS) methodology.
- Analysis of algorithmic trends and improvements within CEGIS.
Main Results:
- Program synthesis offers a broad range of applications due to its logical foundations.
- Counter-example-guided inductive synthesis (CEGIS) has significantly advanced the field.
- Recent algorithmic improvements enhance the capabilities of synthesis engines.
Conclusions:
- Program synthesis, particularly CEGIS, is a rapidly evolving field with increasing potential.
- Future advancements in synthesis engines are expected to be transparent to applications.
- This technology promises to unlock a wider array of use-cases for automated software creation.
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