126 citations · 459 across the 33 of their papers we have counts for
9 papers · 1 filter
Characterizing Feedback Statements in Machine Learning Jupyter Notebooks
Arumoy Shome, Lu\is Cruz, Diomidis Spinellis +1
Machine learning development in Jupyter notebooks is iterative and feedback-driven. Practitioners author statements that reveal information about program execution and use it to de…
"It Comes in Notebooks": Changes and Challenges when Operationalizing ML Prototypes
Arumoy Shome, Luís Cruz, Diomidis Spinellis +1
Machine learning practitioners commonly prototype models in computational notebooks before transitioning them to automated production systems. Despite its prevalence, the concrete…
Citation Cliques in Low Impact Journals
Panagiotis-Alexios Spanakis, Grigorios Alexandrou, Diomidis Spinellis
This exploratory study examines how low-impact journals, defined through subject-normalized Eigenfactor percentiles, are associated with denser and more reciprocating patterns of a…
Measuring and Exploiting Contextual Bias in LLM-Assisted Security Code Review
Dimitris Mitropoulos, Nikolaos Alexopoulos, Georgios Alexopoulos +1
Automated Code Review (ACR) systems integrating Large Language Models (LLMs) are increasingly adopted in software development workflows, ranging from interactive assistants to auto…
Learning from Change: Predictive Models for Incident Prevention in a Regulated IT Environment
Eileen Kapel, Jan Lennartz, Luis Cruz +2
Effective IT change management is important for businesses that depend on software and services, particularly in highly regulated sectors such as finance, where operational reliabi…
An Empirical Comparison of Security and Privacy Characteristics of Android Messaging Apps
Ioannis Karyotakis, Foivos Timotheos Proestakis, Evangelos Talos +2
Mobile messaging apps are a fundamental communication infrastructure, used by billions of people every day to share information, including sensitive data. Security and Privacy are…
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…
Bridging Behavioral Biometrics and Source Code Stylometry: A Survey of Programmer Attribution
Marek Horvath, Emilia Pietrikova, Diomidis Spinellis
Programmer attribution seeks to identify or verify the author of a source code artifact using stylistic, structural, or behavioural characteristics. This problem has been studied a…
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…