The Prevalence of Code Smells in Machine Learning projects

2 code implementations • 6 Mar 2021 • Bart van Oort, Luís Cruz, Maurício Aniche, Arie van Deursen

Manual analysis of these smells mainly showed that code duplication is widespread and that the PEP8 convention for identifier naming style may not always be applicable to ML code due to its resemblance with mathematical notation.

BIG-bench Machine Learning Management

An Exploratory Study of Log Placement Recommendation in an Enterprise System

no code implementations • 2 Mar 2021 • Jeanderson Cândido, Jan Haesen, Maurício Aniche, Arie van Deursen

In this paper, we study the log placement problem in the code base of Adyen, a large-scale payment company.

Learning Off-By-One Mistakes: An Empirical Study

1 code implementation • 24 Feb 2021 • Hendrig Sellik, Onno van Paridon, Georgios Gousios, Maurício Aniche

Mistakes in binary conditions are a source of error in many software systems.

Software Engineering

Automatically Identifying Parameter Constraints in Complex Web APIs: A Case Study at Adyen

no code implementations • 1 Feb 2021 • Henk Grent, Aleksei Akimov, Maurício Aniche

We made use of existing documentation and code analysis approaches for identifying parameter constraints in complex web APIs.

Software Engineering

The Effectiveness of Supervised Machine Learning Algorithms in Predicting Software Refactoring

6 code implementations • 10 Jan 2020 • Maurício Aniche, Erick Maziero, Rafael Durelli, Vinicius Durelli

In this paper, we investigate the effectiveness of machine learning algorithms in predicting software refactorings.

Software Engineering