activity
20202026
most citedMachine Learning for Software Engineering: A Tertiary Study

42 citations · 147 across the 11 of their papers we have counts for

collaborators

11 papers

cs.SE2026

Awakening: Modern Challenges and Opportunities of Software Engineering Research

Diomidis Spinellis, Zoe Kotti

Software engineering research benefited for decades from openly available tools, accessible systems, and problems that could be studied at modest scale. Today, many of the most rel…

cs.SE2026★ 1 cited

Source Code Hotspots: A Diagnostic Method for Quality Issues

Saleha Muzammil, Mughees Ur Rehman, Zoe Kotti +1

Software source code often harbours "hotspots": small portions of the code that change far more often than the rest of the project and thus concentrate maintenance activity. We min…

cs.SE2025

The Fools are Certain; the Wise are Doubtful: Exploring LLM Confidence in Code Completion

Zoe Kotti, Konstantina Dritsa, Diomidis Spinellis +1

Code completion entails the task of providing missing tokens given a surrounding context. It can boost developer productivity and serve as a code discovery tool. Code completion ha…

cs.IR2024★ 13 cited

Improving Sequential Recommendations with LLMs

Artun Boz, Wouter Zorgdrager, Zoe Kotti +5

The sequential recommendation problem has attracted considerable research attention in the past few years, leading to the rise of numerous recommendation models. In this work, we e…

cs.SE2022★ 42 cited

Machine Learning for Software Engineering: A Tertiary Study

Zoe Kotti, Rafaila Galanopoulou, Diomidis Spinellis

Machine learning (ML) techniques increase the effectiveness of software engineering (SE) lifecycle activities. We systematically collected, quality-assessed, summarized, and catego…

cs.SE2022★ 5 cited

Impact of Software Engineering Research in Practice: A Patent and Author Survey Analysis

Zoe Kotti, Georgios Gousios, Diomidis Spinellis

Existing work on the practical impact of software engineering (SE) research examines industrial relevance rather than adoption of study results, hence the question of how results h…

cs.SE2021★ 8 cited

Software Engineering Education Knowledge Versus Industrial Needs

Georgios Liargkovas, Angeliki Papadopoulou, Zoe Kotti +1

Contribution: Determine and analyze the gap between software practitioners' education outlined in the 2014IEEE/ACM Software Engineering Education Knowledge (SEEK) and industrial ne…

cs.SE2021★ 15 cited

Standing on Shoulders or Feet? An Extended Study on the Usage of the MSR Data Papers

Zoe Kotti, Konstantinos Kravvaritis, Konstantina Dritsa +1

Context: The establishment of the Mining Software Repositories (MSR) data showcase conference track has encouraged researchers to provide data sets as a basis for further empirical…

cs.SE2020★ 13 cited

A Dataset of Enterprise-Driven Open Source Software

Diomidis Spinellis, Zoe Kotti, Konstantinos Kravvaritis +2

We present a dataset of open source software developed mainly by enterprises rather than volunteers. This can be used to address known generalizability concerns, and, also, to perf…

cs.SI2020★ 21 cited

A Complete Set of Related Git Repositories Identified via Community Detection Approaches Based on Shared Commits

Audris Mockus, Diomidis Spinellis, Zoe Kotti +1

In order to understand the state and evolution of the entirety of open source software we need to get a handle on the set of distinct software projects. Most of open source project…

cs.SE2020★ 29 cited

A Dataset for GitHub Repository Deduplication: Extended Description

Diomidis Spinellis, Zoe Kotti, Audris Mockus

GitHub projects can be easily replicated through the site's fork process or through a Git clone-push sequence. This is a problem for empirical software engineering, because it can…