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Alberto Bacchelli

Showing results (1-10 of 7) with videos related to

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Scientometrics|October 24, 2017
Does single blind peer review hinder newcomers?Marco Seeber, Alberto Bacchelli
Empirical Software Engineering|July 29, 2024
On Refining the SZZ Algorithm with Bug Discussion DataPooja Rani, Fernando Petrulio, Alberto Bacchelli
Empirical Software Engineering|September 26, 2022
The evolution of the code during review: an investigation on review changesEnrico Fregnan, Fernando Petrulio, Alberto Bacchelli
Empirical Software Engineering|April 7, 2025
Simplifying software compliance: AI technologies in drafting technical documentation for the AI ActFrancesco Sovrano, Emmie Hine, Stefano Anzolut, et al.
Empirical Software Engineering|November 24, 2022
Workflow analysis of data science code in public GitHub repositoriesDhivyabharathi Ramasamy, Cristina Sarasua, Alberto Bacchelli, et al.
Empirical Software Engineering|March 27, 2023
Visualising data science workflows to support third-party notebook comprehension: an empirical studyDhivyabharathi Ramasamy, Cristina Sarasua, Alberto Bacchelli, et al.
Peerj. Computer Science|April 5, 2021
The effects of change decomposition on code review-a controlled experimentMarco di Biase, Magiel Bruntink, Arie van Deursen, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Scientometrics|October 24, 2017
Does single blind peer review hinder newcomers?Marco Seeber, Alberto Bacchelli
Empirical Software Engineering|July 29, 2024
On Refining the SZZ Algorithm with Bug Discussion DataPooja Rani, Fernando Petrulio, Alberto Bacchelli
Empirical Software Engineering|September 26, 2022
The evolution of the code during review: an investigation on review changesEnrico Fregnan, Fernando Petrulio, Alberto Bacchelli
Empirical Software Engineering|April 7, 2025
Simplifying software compliance: AI technologies in drafting technical documentation for the AI ActFrancesco Sovrano, Emmie Hine, Stefano Anzolut, et al.
Empirical Software Engineering|November 24, 2022
Workflow analysis of data science code in public GitHub repositoriesDhivyabharathi Ramasamy, Cristina Sarasua, Alberto Bacchelli, et al.
Empirical Software Engineering|March 27, 2023
Visualising data science workflows to support third-party notebook comprehension: an empirical studyDhivyabharathi Ramasamy, Cristina Sarasua, Alberto Bacchelli, et al.
Peerj. Computer Science|April 5, 2021
The effects of change decomposition on code review-a controlled experimentMarco di Biase, Magiel Bruntink, Arie van Deursen, et al.
Pageof 1