Search Results for author: Carlo A. Furia

Found 3 papers, 1 papers with code

Applying Bayesian Analysis Guidelines to Empirical Software Engineering Data: The Case of Programming Languages and Code Quality

no code implementations29 Jan 2021 Carlo A. Furia, Richard Torkar, Robert Feldt

The high-level conclusions of our exercise will be that Bayesian statistical techniques can be applied to analyze software engineering data in a way that is principled, flexible, and leads to convincing results that inform the state of the art while highlighting the boundaries of its validity.

Software Engineering

How Java Programmers Test Exceptional Behavior

no code implementations1 Dec 2020 Diego Marcilio, Carlo A. Furia

Exceptions often signal faulty or undesired behavior; hence, high-quality test suites should also target exceptional behavior.

A Comparative Study of Programming Languages in Rosetta Code

3 code implementations31 Aug 2014 Sebastian Nanz, Carlo A. Furia

In this study, we use the largely untapped research potential of Rosetta Code, a code repository of solutions to common programming tasks in various languages, to draw a fair and well-founded comparison.

Software Engineering

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