Jul 25, 2023 · Calculating code coverage is resource-intensive, requiring code building and execution with additional overhead for the instrumentation.
Jul 25, 2023 · Using Machine Learning to amortize this expensive process could lower the cost of code coverage by requiring only the source code context, and ...
CoverageEval. This is the data and usage code for the dataset introduced in the paper "Predicting Code Coverage without Execution".
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Feb 25, 2010 · There are (research) tools based on abstract interpretation or model checking that can show coverage properties without execution, for subsets of language.
Missing: Predicting | Show results with:Predicting
Jul 15, 2024 · ABSTRACT. As software systems grow, test suites may become complex, mak- ing it challenging to run the tests frequently and locally.
Jun 12, 2024 · Planning empowers GPT to autonomously generate plans based on guided examples, and then CodePilot prompts the GPT model to predict code coverage ...
Predicting Code Coverage Without Execution - Free download as PDF File (.pdf), Text File (.txt) or read online for free.
Jul 25, 2023 · This provides developers with immediate feedback on code cov- erage without the need for executing the entire test suite. By utilizing LLM-based ...
Jun 7, 2020 · 75% coverage of 100 lines of code means that your tests caused 75 lines to execute and 25 lines not to. Bugs might easily hide in those 25 lines ...
Duration: 26:51
Posted: Jul 26, 2023
Posted: Jul 26, 2023