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Found 5 papers, 2 papers with code
Piloting Copilot and Codex: Hot Temperature, Cold Prompts, or Black Magic?
In this paper, we investigate the various input parameters of two language models, and conduct a study to understand if variations of these input parameters (e. g. programming task description and the surrounding context, creativity of the language model, number of generated solutions) can have a significant impact on the quality of the generated programs.
Towards Quality Assurance of Software Product Lines with Adversarial Configurations
Software product line (SPL) engineers put a lot of effort to ensure that, through the setting of a large number of possible configuration options, products are acceptable and well-tailored to customers' needs.
Learning Software Configuration Spaces: A Systematic Literature Review
The findings from this systematic review show that the potential application objective is important; there are a vast number of case studies reported in the literature from the basis of several domains and software systems.
Towards Adversarial Configurations for Software Product Lines
Ensuring that all supposedly valid configurations of a software product line (SPL) lead to well-formed and acceptable products is challenging since it is most of the time impractical to enumerate and test all individual products of an SPL.
Large-scale Analysis of Chess Games with Chess Engines: A Preliminary Report
A key issue for the research community is to gather a large dataset of chess games together with the judgement of chess engines.
