On the Effectiveness of Manual and Automatic Unit Test Generation. - Alberto Bacchelli; Paolo Ciancarini; Davide Rossi (ICSEA, 2008)

Miler - A Tool Infrastructure to Analyze Mailing Lists. - Alberto Bacchelli; Michele Lanza 001; Marco D'Ambros (FAMOOSr@WCRE, 2009)

Benchmarking Lightweight Techniques to Link E-Mails and Source Code. - Alberto Bacchelli; Marco D'Ambros; Michele Lanza 001; Romain Robbes (WCRE, 2009)

Are Popular Classes More Defect Prone? - Alberto Bacchelli; Marco D'Ambros; Michele Lanza 001 (FASE, 2010)

Towards integrating e-mail communication in the IDE. - Alberto Bacchelli; Michele Lanza 001; Vitezslav Humpa (SUITE@ICSE, 2010)

Linking e-mails and source code artifacts. - Alberto Bacchelli; Michele Lanza 001; Romain Robbes (ICSE (1), 2010)

Extracting Source Code from E-Mails. - Alberto Bacchelli; Marco D'Ambros; Michele Lanza 001 (ICPC, 2010)

On the Impact of Design Flaws on Software Defects. - Marco D'Ambros; Alberto Bacchelli; Michele Lanza 001 (QSIC, 2010)

Erase and rewind - Learning by replaying examples. - Lile Hattori; Alberto Bacchelli; Michele Lanza 001; Mircea Lungu (CSEE&T, 2011)

RTFM (Read the Factual Mails) - Augmenting Program Comprehension with Remail. - Alberto Bacchelli; Michele Lanza 001; Vitezslav Humpa (CSMR, 2011)

Exploring, exposing, and exploiting emails to include human factors in software engineering. - Alberto Bacchelli (ICSE, 2011)

Miler: a toolset for exploring email data. - Alberto Bacchelli; Michele Lanza 001; Marco D'Ambros (ICSE, 2011)

Extracting structured data from natural language documents with island parsing. - Alberto Bacchelli; Anthony Cleve; Michele Lanza 001; Andrea Mocci (ASE, 2011)

Harnessing stack overflow for the IDE. - Alberto Bacchelli; Luca Ponzanelli; Michele Lanza 001 (RSSE@ICSE, 2012)

Content classification of development emails. - Alberto Bacchelli; Tommaso Dal Sasso; Marco D'Ambros; Michele Lanza 001 (ICSE, 2012)

Workshop on Mining Unstructured Data (MUD) ... Because "Mining Unstructured Data is Like Fishing in Muddy Waters"! - Alberto Bacchelli; Nicolas Bettenburg; Latifa Guerrouj (WCRE, 2012)

Leveraging Crowd Knowledge for Software Comprehension and Development. - Luca Ponzanelli; Alberto Bacchelli; Michele Lanza 001 (CSMR, 2013)

Expectations, outcomes, and challenges of modern code review. - Alberto Bacchelli; Christian Bird (ICSE, 2013)

1st international workshop on natural language analysis in software engineering (NaturaLiSE 2013). - Lori L. Pollock; David W. Binkley; Dawn J. Lawrie; Emily Hill 001; Rocco Oliveto; Gabriele Bavota; Alberto Bacchelli (ICSE, 2013)

Seahawk: stack overflow in the IDE. - Luca Ponzanelli; Alberto Bacchelli; Michele Lanza 001 (ICSE, 2013)

Which Feature Location Technique is Better? - Emily Hill 001; Alberto Bacchelli; Dave W. Binkley; Bogdan Dit; Dawn J. Lawrie; Rocco Oliveto (ICSM, 2013)

Manhattan: Supporting real-time visual team activity awareness. - Michele Lanza 001; Marco D'Ambros; Alberto Bacchelli; Lile Hattori; Francesco Rigotti (ICPC, 2013)

Communication in open source software development mailing lists. - Anja Guzzi; Alberto Bacchelli; Michele Lanza 001; Martin Pinzger 001; Arie van Deursen (MSR, 2013)

3rd workshop on Mining Unstructured Data. - Alberto Bacchelli; Nicolas Bettenburg; Latifa Guerrouj; Sonia Haiduc (WCRE, 2013)

Improving Low Quality Stack Overflow Post Detection. - Luca Ponzanelli; Andrea Mocci; Alberto Bacchelli; Michele Lanza 001; David Fullerton (ICSME, 2014)

Modern code reviews in open-source projects: which problems do they fix? - Moritz Beller; Alberto Bacchelli; Andy Zaidman; Elmar Jürgens (MSR, 2014)

Quantitatively Exploring Non-code Software Artifacts. - Luca Bigliardi; Michele Lanza 001; Alberto Bacchelli; Marco D'Ambros; Andrea Mocci (QSIC, 2014)

Understanding and Classifying the Quality of Technical Forum Questions. - Luca Ponzanelli; Andrea Mocci; Alberto Bacchelli; Michele Lanza 001 (QSIC, 2014)

A Mixed Methods Approach to Mining Code Review Data. - Peter C. Rigby; Alberto Bacchelli; Georgios Gousios; Murtuza Mukadam (The Art and Science of Analyzing Software Data, 2015)

Supporting Developers' Coordination in the IDE. - Anja Guzzi; Alberto Bacchelli; Yann Riche; Arie van Deursen (CSCW, 2015)

Quality Questions Need Quality Code: Classifying Code Fragments on Stack Overflow. - Maarten Duijn; Adam Kucera; Alberto Bacchelli (MSR, 2015)

Automatic Assessments of Code Explanations: Predicting Answering Times on Stack Overflow. - Selman Ercan; Quinten Stokkink; Alberto Bacchelli (MSR, 2015)

ETA: Estimated Time of Answer Predicting Response Time in Stack Overflow. - Jeffrey Goderie; Brynjolfur Mar Georgsson; Bastiaan van Graafeiland; Alberto Bacchelli (MSR, 2015)

Will They Like This? Evaluating Code Contributions with Language Models. - Vincent J. Hellendoorn; Premkumar T. Devanbu; Alberto Bacchelli (MSR, 2015)

A Dataset for API Usage. - Anand Ashok Sawant; Alberto Bacchelli (MSR, 2015)

One-Day Flies on StackOverflow - Why the Vast Majority of StackOverflow Users Only Posts Once. - Rogier Slag; Mike de Waard; Alberto Bacchelli (MSR, 2015)

Untangling fine-grained code changes. - Martin Dias; Alberto Bacchelli; Georgios Gousios; Damien Cassou; Stéphane Ducasse (SANER, 2015)

On the "Naturalness" of Buggy Code. - Baishakhi Ray; Vincent J. Hellendoorn; Zhaopeng Tu; Connie Nguyen; Saheel Godhane; Alberto Bacchelli; Premkumar T. Devanbu (CoRR, 2015)

Smart learning: A search-based approach to rank change and defect prone classes. - Carol V. Alexandru; Annibale Panichella; Sebastiano Panichella; Alberto Bacchelli; Harald C. Gall (PeerJ Prepr., 2015)

Irish: A Hidden Markov Model to detect coded information islands in free text. - Luigi Cerulo; Massimiliano Di Penta; Alberto Bacchelli; Michele Ceccarelli; Gerardo Canfora (Sci. Comput. Program., 2015)

Structure your unstructured data first! - Alberto Bacchelli (Perspectives on Data Science for Software Engineering, 2016)

Social Diversity and Growth Levels of Open Source Software Projects on GitHub. - Joop Aué; Michiel Haisma; Kristín Fjóla Tómasdóttir; Alberto Bacchelli (ESEM, 2016)

A Search-based Training Algorithm for Cost-aware Defect Prediction. - Annibale Panichella; Carol V. Alexandru; Sebastiano Panichella; Alberto Bacchelli; Harald C. Gall (GECCO, 2016)

Work practices and challenges in pull-based development: the contributor's perspective. - Georgios Gousios; Margaret-Anne D. Storey; Alberto Bacchelli (ICSE, 2016)

On the "naturalness" of buggy code. - Baishakhi Ray; Vincent J. Hellendoorn; Saheel Godhane; Zhaopeng Tu; Alberto Bacchelli; Premkumar T. Devanbu (ICSE, 2016)

On the Reaction to Deprecation of 25, 357 Clients of 4+1 Popular Java APIs. - Anand Ashok Sawant; Romain Robbes; Alberto Bacchelli (ICSME, 2016)

A Security Perspective on Code Review: The Case of Chromium. - Marco di Biase; Magiel Bruntink; Alberto Bacchelli (SCAM, 2016)

Visualizing code and coverage changes for code review. - Sebastiaan Oosterwaal; Arie van Deursen; Roberta Coelho; Anand Ashok Sawant; Alberto Bacchelli (SIGSOFT FSE, 2016)

Double blind reviews in software engineering venues: Practicability, promises and perils. - Moritz Beller; Alberto Bacchelli (PeerJ Prepr., 2016)

Double-blind review in software engineering venues: the community's perspective. - Alberto Bacchelli; Moritz Beller (ICSE (Companion Volume), 2017)

Mining Motivated Trends of Usage of Haskell Libraries. - Mark Juchli; Lars Krombeen; Shashank Rao; Chak Shun Yu; Anand Ashok Sawant; Alberto Bacchelli (WAPI@ICSE, 2017)

On the Optimal Order of Reading Source Code Changes for Review. - Tobias Baum; Kurt Schneider; Alberto Bacchelli (ICSME, 2017)

Classifying code comments in Java open-source software systems. - Luca Pascarella; Alberto Bacchelli (MSR, 2017)

To mock or not to mock?: an empirical study on mocking practices. - Davide Spadini; Mauricio Finavaro Aniche; Magiel Bruntink; Alberto Bacchelli (MSR, 2017)

fine-GRAPE: fine-grained APi usage extractor - an approach and dataset to investigate API usage. - Anand Ashok Sawant; Alberto Bacchelli (Empir. Softw. Eng., 2017)

Does single blind peer review hinder newcomers? - Marco Seeber; Alberto Bacchelli (Scientometrics, 2017)

Mining structured data in natural language artifacts with island parsing. - Alberto Bacchelli; Andrea Mocci; Anthony Cleve; Michele Lanza 001 (Sci. Comput. Program., 2017)

Code review for newcomers: is it different? - Vladimir Kovalenko; Alberto Bacchelli (CHASE@ICSE, 2018)

Self-reported activities of Android developers. - Luca Pascarella; Franz-Xaver Geiger; Fabio Palomba; Dario Di Nucci; Ivano Malavolta; Alberto Bacchelli (MOBILESoft@ICSE, 2018)

Modern code review: a case study at google. - Caitlin Sadowski; Emma Söderberg; Luke Church; Michal Sipko; Alberto Bacchelli (ICSE (SEIP), 2018)

Understanding developers' needs on deprecation as a language feature. - Anand Ashok Sawant; Maurício Finavaro Aniche; Arie van Deursen; Alberto Bacchelli (ICSE, 2018)

When testing meets code review: why and how developers review tests. - Davide Spadini; Maurício Finavaro Aniche; Margaret-Anne D. Storey; Magiel Bruntink; Alberto Bacchelli (ICSE, 2018)

Why are Features Deprecated? An Investigation Into the Motivation Behind Deprecation. - Anand Ashok Sawant; Guangzhe Huang; Gabriel Vilen; Stefan Stojkovski; Alberto Bacchelli (ICSME, 2018)

On the Relation of Test Smells to Software Code Quality. - Davide Spadini; Fabio Palomba; Andy Zaidman; Magiel Bruntink; Alberto Bacchelli (ICSME, 2018)

Mining file histories: should we consider branches? - Vladimir Kovalenko; Fabio Palomba; Alberto Bacchelli (ASE, 2018)

Continuous code quality: are we (really) doing that? - Carmine Vassallo; Fabio Palomba; Alberto Bacchelli; Harald C. Gall (ASE, 2018)

A graph-based dataset of commit history of real-world Android apps. - Franz-Xaver Geiger; Ivano Malavolta; Luca Pascarella; Fabio Palomba; Dario Di Nucci; Alberto Bacchelli (MSR, 2018)

How is video game development different from software development in open source? - Luca Pascarella; Fabio Palomba; Massimiliano Di Penta; Alberto Bacchelli (MSR, 2018)

What makes a code change easier to review: an empirical investigation on code change reviewability. - Achyudh Ram; Anand Ashok Sawant; Marco Castelluccio; Alberto Bacchelli (ESEC/SIGSOFT FSE, 2018)

PyDriller: Python framework for mining software repositories. - Davide Spadini; Maurício Finavaro Aniche; Alberto Bacchelli (ESEC/SIGSOFT FSE, 2018)

Re-evaluating method-level bug prediction. - Luca Pascarella; Fabio Palomba; Alberto Bacchelli (SANER, 2018)

Investigating type declaration mismatches in Python. - Luca Pascarella; Achyudh Ram; Azqa Nadeem; Dinesh Bisesser; Norman Knyazev; Alberto Bacchelli (MaLTeSQuE, 2018)

On the reaction to deprecation of clients of 4 + 1 popular Java APIs and the JDK. - Anand Ashok Sawant; Romain Robbes; Alberto Bacchelli (Empir. Softw. Eng., 2018)

Information Needs in Contemporary Code Review. - Luca Pascarella; Davide Spadini; Fabio Palomba; Magiel Bruntink; Alberto Bacchelli (Proc. ACM Hum. Comput. Interact., 2018)

The effects of change decomposition on code review - a controlled experiment. - Marco di Biase; Magiel Bruntink; Arie van Deursen; Alberto Bacchelli (PeerJ Prepr., 2018)

When Testing Meets Code Review: Why and How Developers Review Tests. - Davide Spadini; Maurício Aniche; Margaret-Anne D. Storey; Magiel Bruntink; Alberto Bacchelli (Zenodo, 2018)

When Testing Meets Code Review: Why and How Developers Review Tests (Appendix). - Davide Spadini; Maurício Aniche; Margaret-Anne D. Storey; Magiel Bruntink; Alberto Bacchelli (Zenodo, 2018)

When Testing Meets Code Review: Why and How Developers Review Tests (Appendix). - Davide Spadini; Maurício Aniche; Margaret-Anne D. Storey; Magiel Bruntink; Alberto Bacchelli (Zenodo, 2018)

Data and material for: "Mining file histories: should we consider branches?". - Vladimir Kovalenko; Fabio Palomba; Alberto Bacchelli (Zenodo, 2018)

Information Needs in Contemporary Code Review - Appendix. - Luca Pascarella; Davide Spadini; Fabio Palomba; Magiel Bruntink; Alberto Bacchelli (Zenodo, 2018)

Information Needs in Contemporary Code Review - Appendix. - Luca Pascarella; Davide Spadini; Fabio Palomba; Magiel Bruntink; Alberto Bacchelli (Zenodo, 2018)

On the Performance of Method-Level Bug Prediction: A Negative Result. Appendix. - Luca Pascarella; Fabio Palomba; Alberto Bacchelli (Zenodo, 2018)

Fine-Grained Just-In-Time Defect Prediction - Appendix. - Luca Pascarella; Fabio Palomba; Alberto Bacchelli (Zenodo, 2018)

When code completion fails: a case study on real-world completions. - Vincent J. Hellendoorn; Sebastian Proksch 001; Harald C. Gall; Alberto Bacchelli (ICSE, 2019)

Test-driven code review: an empirical study. - Davide Spadini; Fabio Palomba; Tobias Baum; Stefan Hanenberg; Magiel Bruntink; Alberto Bacchelli (ICSE, 2019)

Characterizing women (not) contributing to open-source. - Pavlina Wurzelová; Fabio Palomba; Alberto Bacchelli (GE@ICSE, 2019)

PathMiner: a library for mining of path-based representations of code. - Vladimir Kovalenko; Egor Bogomolov; Timofey Bryksin; Alberto Bacchelli (MSR, 2019)

On the effectiveness of manual and automatic unit test generation: ten years later. - Domenico Serra; Giovanni Grano; Fabio Palomba; Filomena Ferrucci; Harald C. Gall; Alberto Bacchelli (MSR, 2019)

Understanding flaky tests: the developer's perspective. - Moritz Eck; Fabio Palomba; Marco Castelluccio; Alberto Bacchelli (ESEC/SIGSOFT FSE, 2019)

Healthcare Android apps: a tale of the customers' perspective. - Mariaclaudia Nicolai; Luca Pascarella; Fabio Palomba; Alberto Bacchelli (WAMA@ESEC/SIGSOFT FSE, 2019)

On The Effect Of Code Review On Code Smells. - Luca Pascarella; Davide Spadini; Fabio Palomba; Alberto Bacchelli (CoRR, 2019)

Associating working memory capacity and code change ordering with code review performance. - Tobias Baum; Kurt Schneider; Alberto Bacchelli (Empir. Softw. Eng., 2019)

Classifying code comments in Java software systems. - Luca Pascarella; Magiel Bruntink; Alberto Bacchelli (Empir. Softw. Eng., 2019)

To react, or not to react: Patterns of reaction to API deprecation. - Anand Ashok Sawant; Romain Robbes; Alberto Bacchelli (Empir. Softw. Eng., 2019)

Mock objects for testing java systems - Why and how developers use them, and how they evolve. - Davide Spadini; Maurício Finavaro Aniche; Magiel Bruntink; Alberto Bacchelli (Empir. Softw. Eng., 2019)

A survey on software coupling relations and tools. - Enrico Fregnan; Tobias Baum; Fabio Palomba; Alberto Bacchelli (Inf. Softw. Technol., 2019)

Fine-grained just-in-time defect prediction. - Luca Pascarella; Fabio Palomba; Alberto Bacchelli (J. Syst. Softw., 2019)

A large-scale empirical exploration on refactoring activities in open source software projects. - Carmine Vassallo; Giovanni Grano; Fabio Palomba; Harald C. Gall; Alberto Bacchelli (Sci. Comput. Program., 2019)

UI Dark Patterns and Where to Find Them: A Study on Mobile Applications and User Perception. - Linda Di Geronimo; Larissa Braz; Enrico Fregnan; Fabio Palomba; Alberto Bacchelli (CHI, 2020)

Building Implicit Vector Representations of Individual Coding Style. - Vladimir Kovalenko; Egor Bogomolov; Timofey Bryksin; Alberto Bacchelli (ICSE (Workshops), 2020)

Primers or reminders?: the effects of existing review comments on code review. - Davide Spadini; Gül Çalikli; Alberto Bacchelli (ICSE, 2020)

Do Explicit Review Strategies Improve Code Review Performance? - Pavlína Wurzel Gonçalves; Enrico Fregnan; Tobias Baum; Kurt Schneider; Alberto Bacchelli (MSR, 2020)

Investigating Severity Thresholds for Test Smells. - Davide Spadini; Martin Schvarcbacher; Ana-Maria Oprescu; Magiel Bruntink; Alberto Bacchelli (MSR, 2020)

Authorship Attribution of Source Code: A Language-Agnostic Approach and Applicability in Software Engineering. - Egor Bogomolov; Vladimir Kovalenko; Alberto Bacchelli; Timofey Bryksin (CoRR, 2020)

On the performance of method-level bug prediction: A negative result. - Luca Pascarella; Fabio Palomba; Alberto Bacchelli (J. Syst. Softw., 2020)

Does Reviewer Recommendation Help Developers? - Vladimir Kovalenko; Nava Tintarev; Evgeny Pasynkov; Christian Bird; Alberto Bacchelli (IEEE Trans. Software Eng., 2020)

Dataset of the paper "Information Needs in Contemporary Code Review". - Luca Pascarella; Davide Spadini; Fabio Palomba; Alberto Bacchelli (Zenodo, 2020)

Why Don't Developers Detect Improper Input Validation? '; DROP TABLE Papers; -. - Larissa Braz; Enrico Fregnan; Gül Çalikli; Alberto Bacchelli (ICSE, 2021)

Data and Materials for: Why Don't Developers Detect Improper Input Validation?'; DROP TABLE Papers; -. - Larissa Braz; Enrico Fregnan; Gül Çalikli; Alberto Bacchelli (ICSE (Companion Volume), 2021)

Authorship attribution of source code: a language-agnostic approach and applicability in software engineering. - Egor Bogomolov; Vladimir Kovalenko; Yurii Rebryk; Alberto Bacchelli; Timofey Bryksin (ESEC/SIGSOFT FSE, 2021)

ChangeViz: Enhancing the GitHub Pull Request Interface with Method Call Information. - Lorenzo Gasparini; Enrico Fregnan; Larissa Braz; Tobias Baum; Alberto Bacchelli (VISSOFT, 2021)

The indolent lambdification of Java. - Fernando Petrulio; Anand Ashok Sawant; Alberto Bacchelli (Empir. Softw. Eng., 2021)

An Exploratory Study on Regression Vulnerabilities. - Larissa Braz; Enrico Fregnan; Vivek Arora; Alberto Bacchelli (ESEM, 2022)

Less is More: Supporting Developers in Vulnerability Detection during Code Review. - Larissa Braz; Christian Aeberhard; Gül Çalikli; Alberto Bacchelli (ICSE, 2022)

Software security during modern code review: the developer's perspective. - Larissa Braz; Alberto Bacchelli (ESEC/SIGSOFT FSE, 2022)

First come first served: the impact of file position on code review. - Enrico Fregnan; Larissa Braz; Marco D'Ambros; Gül Çalikli; Alberto Bacchelli (ESEC/SIGSOFT FSE, 2022)

Interpersonal Conflicts During Code Review. - Pavlína Wurzel Gonçalves; Gül Çalikli; Alberto Bacchelli (CoRR, 2022)

SZZ in the time of Pull Requests. - Fernando Petrulio; David Ackermann; Enrico Fregnan; Gül Çalikli; Marco Castelluccio; Sylvestre Ledru; Calixte Denizet; Emma Humphries; Alberto Bacchelli (CoRR, 2022)

The evolution of the code during review: an investigation on review changes. - Enrico Fregnan; Fernando Petrulio; Alberto Bacchelli (Empir. Softw. Eng., 2022)

What happens in my code reviews? An investigation on automatically classifying review changes. - Enrico Fregnan; Fernando Petrulio; Linda Di Geronimo; Alberto Bacchelli (Empir. Softw. Eng., 2022)

Do explicit review strategies improve code review performance? Towards understanding the role of cognitive load. - Pavlína Wurzel Gonçalves; Enrico Fregnan; Tobias Baum; Kurt Schneider; Alberto Bacchelli (Empir. Softw. Eng., 2022)

Interpersonal Conflicts During Code Review: Developers' Experience and Practices. - Pavlína Wurzel Gonçalves; Gül Çalikli; Alberto Bacchelli (Proc. ACM Hum. Comput. Interact., 2022)

Eliminating Hallucinations: GPT-based Explanatory AI for Intelligent Textbooks and Documentation. - Francesco Sovrano; Kevin D. Ashley; Alberto Bacchelli (iTextbooks@AIED, 2023)

EvaCRC: Evaluating Code Review Comments. - Lanxin Yang; Jinwei Xu; Yifan Zhang; He Zhang 001; Alberto Bacchelli (ESEC/SIGSOFT FSE, 2023)

Evaluating Learning-to-Rank Models for Prioritizing Code Review Requests using Process Simulation. - Lanxin Yang; Bohan Liu; Junyu Jia; Junming Xue; Jinwei Xu; Alberto Bacchelli; He Zhang 001 (SANER, 2023)

Workflow analysis of data science code in public GitHub repositories. - Dhivyabharathi Ramasamy; Cristina Sarasua; Alberto Bacchelli; Abraham Bernstein (Empir. Softw. Eng., 2023)

Graph-based visualization of merge requests for code review. - Enrico Fregnan; Josua Fröhlich; Davide Spadini; Alberto Bacchelli (J. Syst. Softw., 2023)

Training industrial end-user programmers with interactive tutorials. - Nico Ritschel; Anand Ashok Sawant; David Weintrop; Reid Holmes; Alberto Bacchelli; Ronald Garcia; Chandrika K. R.; Avijit Mandal; Patrick Francis; David C. Shepherd (Softw. Pract. Exp., 2023)

Competencies for Code Review. - Pavlína Wurzel Gonçalves; Gül Çalikli; Alexander Serebrenik; Alberto Bacchelli (Proc. ACM Hum. Comput. Interact., 2023)

Visualising data science workflows to support third-party notebook comprehension: an empirical study. - Dhivyabharathi Ramasamy; Cristina Sarasua; Alberto Bacchelli; Abraham Bernstein (Empir. Softw. Eng., 2023)

Replication Package - EvaCRC: Evaluating Code Review Comments. - Lanxin Yang; Jinwei Xu; Yifan Zhang; He Zhang 001; Alberto Bacchelli (Zenodo, 2023)

Energy Patterns for Web: An Exploratory Study. - Pooja Rani 001; Jonas Zellweger; Veronika Kousadianos; Luis Cruz 002; Timo Kehrer; Alberto Bacchelli (ICSE (SEIS), 2024)

Mind the Gap: What Working With Developers on Fuzz Tests Taught Us About Coverage Gaps. - Carolin E. Brandt; Marco Castelluccio; Christian Holler; Jason Kratzer; Andy Zaidman; Alberto Bacchelli (ICSE-SEIP, 2024)

Constructive Code Review: Managing the Impact of Interpersonal Conflicts in Practice. - Pavlína Wurzel Gonçalves; Joao S. V. Goncalves; Alberto Bacchelli (ICSE-SEIP, 2024)

An Empirical Study on Compliance with Ranking Transparency in the Software Documentation of EU Online Platforms. - Francesco Sovrano; Michaël Lognoul; Alberto Bacchelli (ICSE (SEIS), 2024)

GPP: A Graph-Powered Prioritizer for Code Review Requests. - Lanxin Yang; Jinwei Xu; He Zhang 001; Fanghao Wu; Jun Lyu; Yue Li; Alberto Bacchelli (ASE, 2024)

Investigating Efficacy of Perplexity in Detecting LLM-Generated Code. - Jinwei Xu; He Zhang 001; Yanjin Yang; Zeru Cheng; Jun Lyu; Bohan Liu; Xin Zhou 016; Lanxin Yang; Alberto Bacchelli; Yin Kia Chiam; Thiam Kian Chiew (CoRR, 2024)

On Refining the SZZ Algorithm with Bug Discussion Data. - Pooja Rani 001; Fernando Petrulio; Alberto Bacchelli (Empir. Softw. Eng., 2024)

A preliminary investigation on using multi-task learning to predict change performance in code reviews. - Lanxin Yang; He Zhang 001; Jinwei Xu; Jun Lyu; Xin Zhou 016; Dong Shao; Shan Gao; Alberto Bacchelli (Empir. Softw. Eng., 2024)

Code Review Comprehension: Reviewing Strategies Seen Through Code Comprehension Theories. - Pavlína Wurzel Gonçalves; Pooja Rani 001; Margaret-Anne D. Storey; Diomidis Spinellis; Alberto Bacchelli (ICPC, 2025)

Beyond the lab: An in-depth analysis of real-world practices in government-to-citizen software user documentation. - Francesco Sovrano; Sandro Vonlanthen; Alberto Bacchelli (Inf. Softw. Technol., 2025)

Empirically Evaluating the Impact of Object-Centric Breakpoints on the Debugging of Object-Oriented Programs. - Valentin Bourcier; Pooja Rani 001; Maximilian Ignacio Willembrinck Santander; Alberto Bacchelli; Steven Costiou (Proc. ACM Softw. Eng., 2025)

Large Language Models for In-File Vulnerability Localization Can Be "Lost in the End". - Francesco Sovrano; Adam Bauer; Alberto Bacchelli (Proc. ACM Softw. Eng., 2025)

Prioritizing code review requests to improve review efficiency: a simulation study. - Lanxin Yang; Bohan Liu; Junyu Jia; Jinwei Xu; Junming Xue; He Zhang 001; Alberto Bacchelli (Empir. Softw. Eng., 2025)

Can We Make Code Green? Understanding Trade-Offs in LLMs vs. Human Code Optimizations. - Pooja Rani 001; Jan-Andrea Bard; June Sallou; Alexander Boll; Timo Kehrer; Alberto Bacchelli (CoRR, 2025)

Correction to: A preliminary investigation on using multi-task learning to predict change performance in code reviews. - Enrico Fregnan; Fernando Petrulio; Linda Di Geronimo; Alberto Bacchelli (Empir. Softw. Eng., 2025)

Simplifying software compliance: AI technologies in drafting technical documentation for the AI Act. - Francesco Sovrano; Emmie Hine; Stefano Anzolut; Alberto Bacchelli (Empir. Softw. Eng., 2025)

Correction to: A preliminary investigation on using multi-task learning to predict change performance in code reviews. - Lanxin Yang; He Zhang 001; Jinwei Xu; Jun Lyu; Xin Zhou 016; Dong Shao; Shan Gao; Alberto Bacchelli (Empir. Softw. Eng., 2025)

Observing Fine-Grained Changes in Jupyter Notebooks During Development Time. - Sergey Titov; Konstantin Grotov; Cristina Sarasua; Yaroslav Golubev; Dhivyabharathi Ramasamy; Alberto Bacchelli; Abraham Bernstein; Timofey Bryksin (CoRR, 2025)