AST 2023
Mon 15 - Tue 16 May 2023 Melbourne, Australia
co-located with ICSE 2023
Mon 15 May 2023 14:52 - 15:15 at Meeting Room 107 - Metrics and Benchmarks

Test input generation is one of the key applications of symbolic execution (SE). However, being a path-sensitive technique, SE often faces path explosion even when creating a branch-adequate test suite. Path-merging symbolic execution (PM-SE) alleviates the path explosion problem by summarizing regions of code into disjunctive constraints, thus traversing at once a set of paths with the same prefixes. Previous work has shown that PM-SE can reduce run-time up to 38%, though these improvements can be impaired if the summarized code results in complex constraints or introduces additional symbols that increase the number of branching points in the later execution. Considering these trade-offs, examining the ability of PM- SE to generate branch-adequate test inputs is an open research problem. This paper investigates it by developing a technique that extracts structural coverage-related queries from disjoint constraints. Using this approach, we extend PM-SE to generate branch-adequate test inputs. Experiments compare the effectiveness and efficiency of test input generation by SE and PM-SE techniques. Results show that those techniques are complementary. For some programs, PM-SE yields faster coverage, with fewer generated tests, while for others, SE performs better. In addition, each technique covers branches that the other fails to discover.

Mon 15 May

Displayed time zone: Hobart change

13:45 - 15:15
Metrics and BenchmarksAST 2023 at Meeting Room 107
13:45
22m
Talk
AutoMetric: Towards Measuring Open-Source Software Quality Metrics Automatically
AST 2023
Taejun Lee Korea University, Heewon Park Korea University, Heejo Lee Korea University
14:07
22m
Talk
Learning to Learn to Predict Performance Regressions in Production at Meta
AST 2023
Moritz Beller Meta Platforms, Inc., USA, Hongyu Li Liquido, Vivek Nair Meta Platforms, Inc., Vijayaraghavan Murali Meta Platforms, Inc., Imad Ahmad Meta Platforms, Inc., J├╝rgen Cito TU Wien, Drew Carlson Ex-Meta Platforms, Inc., Gareth Ari Aye Meta Platforms, Inc., Wes Dyer Meta Platforms, Inc.
Pre-print
14:30
22m
Talk
SourceWarp: A scalable, SCM-driven testing and benchmarking approach to support data-driven and agile decision making for CI/CD tools and DevOps platforms
AST 2023
Julian Thome GitLab Inc., James Johnson --, Isaac Dawson GitLab Inc., Dinesh Bolkensteyn GitLab Inc., Michael Henriksen GitLab Inc., Mark Art GitLab Inc.
14:52
22m
Talk
Structural Test Input Generation for 3-Address Code Coverage Using Path-Merged Symbolic Execution
AST 2023
Soha Hussein University of Minnesota, USA / Ain Shams University, Egypt, Stephen McCamant University of Minnesota, USA, Elena Sherman Boise State University, Vaibhav Sharma Amazon, Michael Whalen Amazon Web Services and the University of Minnesota